# Gemini 3.5 Flash

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Canonical URL: https://benchize.com/models/gemini-3-5-flash
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Latency | Source |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| [DesignArena Data visualization generation](https://benchize.com/benchmarks/designarena%3Adata-viz.md) | 1,236elo | — | 34 / 99 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=data-viz) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1236 \| elo \| data-viz \| Higher is better \| ### Configuration arenaType models category dataviz inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 70341 battles 2028 losses 955 standardError Not reported winRate 52.9 wins 1073 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=data-viz) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:37:58.264Z Evidence SHA-256 `a895f6f1a25fa8eb01f821c2097ddec4f884de7bd22f1b8a22e82e6679b71849` Source locator `/data/51` |  |  |  |  |  |  |  |
| [DesignArena Agentic presentation generation](https://benchize.com/benchmarks/designarena%3Aagentic-slides.md) | 1,179elo | SE ±6.72 | 13 / 19 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=agentic-slides) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1179 \| elo \| agentic-slides \| Higher is better \| ### Configuration arenaType agents category agon_slides inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics Uncertainty Standard error: ±6.72 averageGenerationTimeMs 305648 battles 4059 losses 1751 standardError 6.7191 winRate 56.9 wins 2308 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=agentic-slides) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:03.963Z Evidence SHA-256 `b732c5aba2e357cf6034f23084d5f95f8e8882f62b8bf3ee340f0cd5cd773724` Source locator `/data/19` |  |  |  |  |  |  |  |
| [HiL-Bench (Human-in-Loop Benchmark)](https://benchize.com/benchmarks/scale%3Ahil.md) | 27.67source score | CI 22.35–32.99 | 19 / 22 | — | — | [scale](https://labs.scale.com/leaderboard/hil) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 27.67 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Gemini 3.5 Flash sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 22.35–32.99 contaminationWarning Not reported rank 24 reportedConfidenceHalfWidth 5.32 ### Source [Original source](https://labs.scale.com/leaderboard/hil) Source scale Original model label Gemini 3.5 Flash Observed 2026-10-21T16:35:30.082Z Evidence SHA-256 `043a333e27453edada150667c7f4439b2aab463f37928c2153c6aa79f33dd1b2` Source locator `/rows/23` |  |  |  |  |  |  |  |
| [PerceptionBench](https://benchize.com/benchmarks/perceptionbench.md) | 52% | — | 6 / 14 | — | — | [Moonshot AI / PerceptionBench · ba032c06e9b6ee3679171ff6ba643b7a0cfebe2e](https://github.com/MoonshotAI/PerceptionBench) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.0 \| percent \| overall \| Higher is better \| \| `visual_relation_accuracy` \| 53.6 \| percent \| atomic_capability \| Higher is better \| \| `counting_accuracy` \| 43.6 \| percent \| atomic_capability \| Higher is better \| \| `attribute_accuracy` \| 54.5 \| percent \| atomic_capability \| Higher is better \| \| `depth_3d_accuracy` \| 49.7 \| percent \| atomic_capability \| Higher is better \| \| `localization_accuracy` \| 50.6 \| percent \| atomic_capability \| Higher is better \| \| `comparison_accuracy` \| 54.8 \| percent \| atomic_capability \| Higher is better \| \| `fine_grained_recognition_accuracy` \| 51.7 \| percent \| atomic_capability \| Higher is better \| \| `contextual_integration_accuracy` \| 53.3 \| percent \| atomic_capability \| Higher is better \| \| `ocr_accuracy` \| 59.6 \| percent \| atomic_capability \| Higher is better \| \| `hallucination_accuracy` \| 50.6 \| percent \| atomic_capability \| Higher is better \| ### Configuration judgeModel gpt-oss-120b promptProtocol unified reasoningBudgetPolicy highest_available ### Reported statistics sampleSize 3000 ### Source Score publisher [Moonshot AI / PerceptionBench](https://github.com/MoonshotAI/PerceptionBench) Collected via [perceptionbench](https://api.github.com/repos/MoonshotAI/PerceptionBench/contents/README.md?ref=ba032c06e9b6ee3679171ff6ba643b7a0cfebe2e) Publisher reference Referenced by the collection source; the upstream result has not been independently captured. Benchmark [https://api.github.com/repos/MoonshotAI/PerceptionBench/contents/README.md?ref=ba032c06e9b6ee3679171ff6ba643b7a0cfebe2e](https://api.github.com/repos/MoonshotAI/PerceptionBench/contents/README.md?ref=ba032c06e9b6ee3679171ff6ba643b7a0cfebe2e) [Collected via](https://api.github.com/repos/MoonshotAI/PerceptionBench/contents/README.md?ref=ba032c06e9b6ee3679171ff6ba643b7a0cfebe2e) Source Moonshot AI / PerceptionBench Original model label Gemini-3.5-Flash Source version ba032c06e9b6ee3679171ff6ba643b7a0cfebe2e Observed 2026-10-21T16:33:36.858Z Evidence SHA-256 `0863d20bc397e2324ea76099fe703aed419dc7f0dbb359e522f7dac07dda6529` Source locator `/leaderboard/rows/6` |  |  |  |  |  |  |  |
| [ArXivMath 03/2026](https://benchize.com/benchmarks/matharena%3Aarxiv--march.md) | 55.83% | 95% CI 46.94–64.72% | 7 / 14 | 0.23usd per problem | — | [matharena · arxiv--march](https://matharena.ai/competition_tables/arxiv--march) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 55.83 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.23 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv--march predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 46.94–64.72% confidenceInterval95 8.89 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/arxiv--march) Source matharena Original model label Gemini 3.5 Flash Source version arxiv--march Observed 2026-10-21T16:52:28.322Z Evidence SHA-256 `9cb6d9cc26949fcb2b6affed792584b4bfe9d6168e1fc5cf2c13b38d3479715b` Source locator `/table/rows/7` |  |  |  |  |  |  |  |
| [Apex Shortlist](https://benchize.com/benchmarks/matharena%3Aapex--shortlist_2025.md) | 82.45% | 95% CI 77.01–87.89% | 7 / 24 | 0.26usd per problem | — | [matharena · apex--shortlist_2025](https://matharena.ai/competition_tables/apex--shortlist_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 82.45 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.26 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition apex--shortlist_2025 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 77.01–87.89% confidenceInterval95 5.44 problems 47 ### Source [Original source](https://matharena.ai/competition_tables/apex--shortlist_2025) Source matharena Original model label Gemini 3.5 Flash Source version apex--shortlist_2025 Observed 2026-10-21T16:52:39.300Z Evidence SHA-256 `74513abecacb4d230d741f4d6df425ce878fb450220e88a1a6823524476c2989` Source locator `/table/rows/7` |  |  |  |  |  |  |  |
| [Kangaroo 2025 11-12](https://benchize.com/benchmarks/matharena%3Akangaroo--kangaroo_2025_11-12.md) | 93.33% | 95% CI 87.02–99.64% | 9 / 16 | 0.05usd per problem | — | [matharena · kangaroo--kangaroo_2025_11-12](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_11-12) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 93.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.050 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition kangaroo--kangaroo_2025_11-12 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 87.02–99.64% confidenceInterval95 6.31 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_11-12) Source matharena Original model label Gemini 3.5 Flash Source version kangaroo--kangaroo_2025_11-12 Observed 2026-10-21T16:52:34.045Z Evidence SHA-256 `1e53cfaa398a3ab9a1de8f0f33a4b2499b23b5df61a94735b6b646efc684444c` Source locator `/table/rows/10` |  |  |  |  |  |  |  |
| [Kangaroo 2025 9-10](https://benchize.com/benchmarks/matharena%3Akangaroo--kangaroo_2025_9-10.md) | 100% | 95% CI 100–100% | 1 / 15 | 0.03usd per problem | — | [matharena · kangaroo--kangaroo_2025_9-10](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_9-10) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 100.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.029 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition kangaroo--kangaroo_2025_9-10 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 100–100% confidenceInterval95 0.00 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_9-10) Source matharena Original model label Gemini 3.5 Flash Source version kangaroo--kangaroo_2025_9-10 Observed 2026-10-21T16:52:33.536Z Evidence SHA-256 `52964b89ab1a06cf2e79ec946b33004aa40ca31f1ec26888e6dd0f0a7994223a` Source locator `/table/rows/2` |  |  |  |  |  |  |  |
| [DesignArena Agentic web applications](https://benchize.com/benchmarks/designarena%3Awebapps.md) | 1,202elo | SE ±5.17 | 21 / 39 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=webapps) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1202 \| elo \| webapps \| Higher is better \| ### Configuration arenaType agents category agon_webapps inputModality text sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics Uncertainty Standard error: ±5.17 averageGenerationTimeMs Not reported battles 5745 losses 2747 standardError 5.168 winRate 52.2 wins 2998 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=webapps) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:00.309Z Evidence SHA-256 `f955787274cf4ac627ada7cd33eaae2e08ef7297db92d3391340fcaa0b44a35f` Source locator `/data/26` |  |  |  |  |  |  |  |
| [ArXivMath 06/2026](https://benchize.com/benchmarks/matharena%3Aarxiv--june.md) | 52.08% | 95% CI 43.92–60.24% | 18 / 22 | 0.28usd per problem | — | [matharena · arxiv--june](https://matharena.ai/competition_tables/arxiv--june) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.08 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.28 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv--june predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 43.92–60.24% confidenceInterval95 8.16 problems 48 ### Source [Original source](https://matharena.ai/competition_tables/arxiv--june) Source matharena Original model label Gemini 3.5 Flash Source version arxiv--june Observed 2026-10-21T16:52:29.905Z Evidence SHA-256 `6832faff9be7e16a6c646c59017e30a2caedebe8cf02caf617a5ed9d8fb03bab` Source locator `/table/rows/24` |  |  |  |  |  |  |  |
| [DesignArena Mobile application development](https://benchize.com/benchmarks/designarena%3Amobileapps.md) | 1,174elo | SE ±9.66 | 21 / 33 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=mobileapps) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1174 \| elo \| mobileapps \| Higher is better \| ### Configuration arenaType agents category mobileapps inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics Uncertainty Standard error: ±9.66 averageGenerationTimeMs Not reported battles 1367 losses 675 standardError 9.6613 winRate 50.6 wins 692 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=mobileapps) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:02.538Z Evidence SHA-256 `40af33d0e93e729486da375cbe954633e2458af0dd6ca6d9fbdcda90da650f7d` Source locator `/data/26` |  |  |  |  |  |  |  |
| [ArXivMath 04/2026](https://benchize.com/benchmarks/matharena%3Aarxiv--april.md) | 52.5% | 95% CI 43.57–61.43% | 11 / 19 | 0.22usd per problem | — | [matharena · arxiv--april](https://matharena.ai/competition_tables/arxiv--april) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.50 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.22 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv--april predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 43.57–61.43% confidenceInterval95 8.93 problems 40 ### Source [Original source](https://matharena.ai/competition_tables/arxiv--april) Source matharena Original model label Gemini 3.5 Flash Source version arxiv--april Observed 2026-10-21T16:52:28.840Z Evidence SHA-256 `5139c835884bfab38f18d23a248814af4680927310bc5cd2a86ea2eab779e0a7` Source locator `/table/rows/12` |  |  |  |  |  |  |  |
| [DesignArena Video to website](https://benchize.com/benchmarks/designarena%3Avideo-to-website.md) | 1,174elo | — | 7 / 10 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=video-to-website) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1174 \| elo \| video-to-website \| Higher is better \| ### Configuration arenaType models category website inputModality video sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 86438 battles 3621 losses 1754 standardError Not reported winRate 51.6 wins 1867 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=video-to-website) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:37:59.851Z Evidence SHA-256 `7497b4e107891bf38ad81750242b1b15b51d10f2bfc19781d85918d8f98cbbcb` Source locator `/data/9` |  |  |  |  |  |  |  |
| [Rapidata SVG generation — Preference](https://benchize.com/benchmarks/rapidata%3Asvg%3Arlb_1MFkkEMFnCNyKl.md) | 1,126.11elo | CI 1,111.54–1,140.68 | 15 / 37 | — | — | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkkEMFnCNyKl) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1126.112178932898 \| elo \| rlb_1MFkkEMFnCNyKl \| Higher is better \| ### Configuration benchmarkId bmk_1MFkc3sXfbKCqf criterion rlb_1MFkkEMFnCNyKl participantId par_1MFl7Da7c7ILnh sourceModelVersion gemini-3.5-flash weighted false ### Reported statistics Uncertainty Confidence interval: 1,111.54–1,140.68 confidenceIntervalLowerOffset 14.568453424977406 confidenceIntervalUpperOffset 14.568453424977179 totalMatches 14495 wins 9391.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkkEMFnCNyKl) Source rapidata Original model label gemini-3.5-flash Source version v1 Observed 2026-10-21T16:37:40.980Z Evidence SHA-256 `b70f07a4924c82499996aba613ca8ec2d0aee9ec9ebd404e45c8bf250206cf40` Source locator `/items/23` |  |  |  |  |  |  |  |
| [DesignArena Agentic HTML slide generation](https://benchize.com/benchmarks/designarena%3Aagentic-html-slides.md) | 1,142elo | — | 10 / 13 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=agentic-html-slides) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1142 \| elo \| agentic-html-slides \| Higher is better \| ### Configuration arenaType agents category agon_slides_html inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 238742 battles 2196 losses 1174 standardError Not reported winRate 46.5 wins 1022 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=agentic-html-slides) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:04.391Z Evidence SHA-256 `02fccc0ebb2758ba116665bc1fcb2f049b9b2f1251c0f0bb29caed69ffaf0cb0` Source locator `/data/18` |  |  |  |  |  |  |  |
| [ArXivMath Overall](https://benchize.com/benchmarks/matharena%3Aoverall--final_answer_comps.md) | 76.3% | 95% CI 73.01–79.59% | 8 / 20 | 0.2usd per problem | — | [matharena · overall--final_answer_comps](https://matharena.ai/competition_tables/overall--final_answer_comps) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 76.30 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.20 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition overall--final_answer_comps predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 73.01–79.59% confidenceInterval95 3.29 problems Not reported ### Source [Original source](https://matharena.ai/competition_tables/overall--final_answer_comps) Source matharena Original model label Gemini 3.5 Flash Source version overall--final_answer_comps Observed 2026-10-21T16:52:34.395Z Evidence SHA-256 `8b08b20c1ac5aec9a829d234469bc39d40b0eb189790d84b7264c2756ffa161e` Source locator `/table/rows/8` |  |  |  |  |  |  |  |
| [Kangaroo 2025 5-6](https://benchize.com/benchmarks/matharena%3Akangaroo--kangaroo_2025_5-6.md) | 90% | 95% CI 82.41–97.59% | 1 / 16 | 0.08usd per problem | — | [matharena · kangaroo--kangaroo_2025_5-6](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_5-6) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 90.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.076 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition kangaroo--kangaroo_2025_5-6 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 82.41–97.59% confidenceInterval95 7.59 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_5-6) Source matharena Original model label Gemini 3.5 Flash Source version kangaroo--kangaroo_2025_5-6 Observed 2026-10-21T16:52:32.526Z Evidence SHA-256 `9460cafccce0b6f3ba1f90e1090be31d6cf94dd10b9157819abc97efe624b126` Source locator `/table/rows/0` |  |  |  |  |  |  |  |
| [AIME 2026](https://benchize.com/benchmarks/aime-2026.md) | 95% | 95% CI 89.49–100.51% | 15 / 21 | 0.13usd per problem | — | [matharena · aime--aime_2026](https://matharena.ai/competition_tables/aime--aime_2026) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 95.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.13 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2026 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 89.49–100.51% confidenceInterval95 5.51 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2026) Source matharena Original model label Gemini 3.5 Flash Source version aime--aime_2026 Observed 2026-10-21T16:52:37.816Z Evidence SHA-256 `58b3ac1e0805975eba566c493b8e0165d41eb7ca517218106e112529fb6342de` Source locator `/table/rows/18` |  |  |  |  |  |  |  |
| [Judgemark v4](https://benchize.com/benchmarks/eq-bench%3Ajudgemark-v4.md) | 68.75% | CI 64.5–75.03% | 15 / 38 | — | — | [eq bench · judgemark-v4](https://eqbench.com/judgemark-v4.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.687515 \| score_fraction \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol judgemark-v4 sourceModelVersion gemini-3.5-flash ### Reported statistics Uncertainty Confidence interval: 64.5–75.03% confidenceIntervalHigh 0.750334 confidenceIntervalLow 0.644952 ### Source [Original source](https://eqbench.com/judgemark-v4.js) Source eq bench Original model label gemini-3.5-flash Source version judgemark-v4 Observed 2026-10-21T16:35:03.901Z Evidence SHA-256 `2b0d42aef4f614dd199dc38399be7b88075a919db52020c3759f190defc92a4d` Source locator `/leaderboardDataJudgemarkV4/15` |  |  |  |  |  |  |  |
| [DistressBench](https://benchize.com/benchmarks/scale%3Adistressbench.md) | 66.89source score | CI 65.61–68.17 | 22 / 27 | — | — | [scale](https://labs.scale.com/leaderboard/distressbench) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 66.89 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration gemini-3.5-flash sourceModelVersion gemini-3.5-flash thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 65.61–68.17 contaminationWarning Not reported rank 27 reportedConfidenceHalfWidth 1.28 ### Source [Original source](https://labs.scale.com/leaderboard/distressbench) Source scale Original model label gemini-3.5-flash Observed 2026-10-21T16:35:27.403Z Evidence SHA-256 `6ca6a76569e51fde037c8e2610bdf7bc39d99b54c69b6b4dc0dba9ec2a4e24da` Source locator `/rows/26` |  |  |  |  |  |  |  |
| [Rapidata SVG generation — Coherence](https://benchize.com/benchmarks/rapidata%3Asvg%3Arlb_1MFkkBzpuU8fTG.md) | 835.52elo | CI 821.44–849.61 | 27 / 37 | — | — | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkkBzpuU8fTG) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 835.522832781208 \| elo \| rlb_1MFkkBzpuU8fTG \| Higher is better \| ### Configuration benchmarkId bmk_1MFkc3sXfbKCqf criterion rlb_1MFkkBzpuU8fTG participantId par_1MFl7Da7c7ILnh sourceModelVersion gemini-3.5-flash weighted false ### Reported statistics Uncertainty Confidence interval: 821.44–849.61 confidenceIntervalLowerOffset 14.08767529585748 confidenceIntervalUpperOffset 14.087675295857366 totalMatches 13127 wins 5481 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkkBzpuU8fTG) Source rapidata Original model label gemini-3.5-flash Source version v1 Observed 2026-10-21T16:37:39.715Z Evidence SHA-256 `aa3cb94ff16f544c58adeea35b9087d281c785058b8ce1ae0f98a7ff84920930` Source locator `/items/53` |  |  |  |  |  |  |  |
| [HMMT Feb 2026](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_feb_2026.md) | 95.45% | 95% CI 90.42–100.48% | 5 / 21 | 0.15usd per problem | — | [matharena · hmmt--hmmt_feb_2026](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2026) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 95.45 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.15 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_feb_2026 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 90.42–100.48% confidenceInterval95 5.03 problems 33 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2026) Source matharena Original model label Gemini 3.5 Flash Source version hmmt--hmmt_feb_2026 Observed 2026-10-21T16:52:38.351Z Evidence SHA-256 `0dce922c33a54d29d4a1872a42d74077b491915c80d8433f4b379ea0b78bb979` Source locator `/table/rows/5` |  |  |  |  |  |  |  |
| [DesignArena Overall frontend coding](https://benchize.com/benchmarks/designarena%3Acode.md) | 1,266elo | SE ±2 | 29 / 116 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=code) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1266 \| elo \| code \| Higher is better \| ### Configuration arenaType models category allcategories inputModality text sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics Uncertainty Standard error: ±2 averageGenerationTimeMs 85803 battles 36995 losses 17006 standardError 1.9969 winRate 54 wins 19989 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=code) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:37:57.301Z Evidence SHA-256 `0c897b58670f5e352bd123db999a40c0d1781a443964c502b90774a76a3a7758` Source locator `/data/44` |  |  |  |  |  |  |  |
| [Kangaroo 2025 7-8](https://benchize.com/benchmarks/matharena%3Akangaroo--kangaroo_2025_7-8.md) | 93.33% | 95% CI 87.02–99.64% | 4 / 15 | 0.06usd per problem | — | [matharena · kangaroo--kangaroo_2025_7-8](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_7-8) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 93.33 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.057 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition kangaroo--kangaroo_2025_7-8 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 87.02–99.64% confidenceInterval95 6.31 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_7-8) Source matharena Original model label Gemini 3.5 Flash Source version kangaroo--kangaroo_2025_7-8 Observed 2026-10-21T16:52:33.033Z Evidence SHA-256 `197887eb5244aa6bce3570bd9eb25bbb0bb6ec95568339536d94e2859f0ee8c1` Source locator `/table/rows/4` |  |  |  |  |  |  |  |
| [EQ-Bench 4](https://benchize.com/benchmarks/eq-bench%3Aeqbench4.md) | 1,087.2elo | CI 1,075.2–1,099.4 | 23 / 26 | — | — | [eq bench · eqbench4](https://eqbench.com/eqbench4/eqbench4_data.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1087.2 \| elo \| overall \| Higher is better \| ### Configuration protocol eqbench4 ### Reported statistics Uncertainty Confidence interval: 1,075.2–1,099.4 confidenceIntervalHigh 1099.4 confidenceIntervalLow 1075.2 scenarios 120 ### Source [Original source](https://eqbench.com/eqbench4/eqbench4_data.js) Source eq bench Original model label gemini-3.5-flash Source version eqbench4 Observed 2026-10-21T16:35:00.261Z Evidence SHA-256 `188d8ea4a393978063a6c24dff6c92ce185169827038bfa558091212a68c29d8` Source locator `/models/23` |  |  |  |  |  |  |  |
| [Vals Multimodal Index / swebench](https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Aswebench.md) | 75.49% | SE ±4.26 pp | 12 / 20 | $0.95 | 230.39source duration | [Vals AI · 1.2](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 75.49 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.953882 \| USD \| per_test \| Lower is better \| \| `latency` \| 230.39 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Not reported reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.26 pp sourcePopulation 33 stderr 4.259 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label google/gemini-3.5-flash Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/swebench/google~1gemini-3.5-flash` |  |  |  |  |  |  |  |
| [BrokenArXiv 05/2026](https://benchize.com/benchmarks/matharena%3Aarxiv_false--may.md) | 11% | 95% CI 4.87–17.13% | 15 / 20 | 0.31usd per problem | — | [matharena · arxiv_false--may](https://matharena.ai/competition_tables/arxiv_false--may) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 11.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.31 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv_false--may predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 4.87–17.13% confidenceInterval95 6.13 problems 50 ### Source [Original source](https://matharena.ai/competition_tables/arxiv_false--may) Source matharena Original model label Gemini 3.5 Flash Source version arxiv_false--may Observed 2026-10-21T16:52:24.785Z Evidence SHA-256 `b317fca30109e8c78ed5d2b835fe227b8cfbee3b6f9cb6d7aaeadca866660969` Source locator `/table/rows/17` |  |  |  |  |  |  |  |
| [ArXivMath 05/2026](https://benchize.com/benchmarks/matharena%3Aarxiv--may.md) | 44.17% | 95% CI 35.28–53.06% | 21 / 21 | 0.23usd per problem | — | [matharena · arxiv--may](https://matharena.ai/competition_tables/arxiv--may) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 44.17 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.23 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv--may predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 35.28–53.06% confidenceInterval95 8.89 problems 40 ### Source [Original source](https://matharena.ai/competition_tables/arxiv--may) Source matharena Original model label Gemini 3.5 Flash Source version arxiv--may Observed 2026-10-21T16:52:29.369Z Evidence SHA-256 `758e1bba77e36f4ced2a51b4bc0d46bd956ed94ef6f57e93e1a974b75e76a4ce` Source locator `/table/rows/23` |  |  |  |  |  |  |  |
| [DesignArena Website generation](https://benchize.com/benchmarks/designarena%3Awebsite.md) | 1,268elo | — | 30 / 123 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=website) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1268 \| elo \| website \| Higher is better \| ### Configuration arenaType models category website inputModality text sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 90089 battles 20850 losses 9650 standardError Not reported winRate 53.7 wins 11200 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=website) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:37:57.757Z Evidence SHA-256 `51873e97776a3c5ae706b24cc2c60384793dd18398df970e213a8e7c276d8ac0` Source locator `/data/44` |  |  |  |  |  |  |  |
| [Vending-Bench 2](https://benchize.com/benchmarks/vendingbench%3Av2.md) | — | — | — | $5,396.42 | — | [vendingbench](https://andonlabs.com/_app/immutable/chunks/Cjn0_qj9.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `final_balance` \| 5396.418333333334 \| USD \| one_simulated_year \| Higher is better \| \| `geometric_mean_balance` \| 4738.811006939041 \| USD \| positive_final_balances \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Gemini 3.5 Flash thinkingEnabled Not reported ### Reported statistics confidenceHalfWidth95 2075.1188627014185 positiveBalanceRuns 6 runCount 6 standardDeviation 2593.3583516546014 standardError 1058.7341136231728 ### Source [Original source](https://andonlabs.com/_app/immutable/chunks/Cjn0_qj9.js) Source vendingbench Original model label Gemini 3.5 Flash Observed 2026-10-21T16:36:40.592Z Evidence SHA-256 `1a0b043147050298c405bcb743d73e425d532464202231cd18c27f836fa5f223` Source locator `/rows/44` |  |  |  |  |  |  |  |
| [Rapidata SVG generation — Overall preference](https://benchize.com/benchmarks/rapidata%3Asvg%3Aoverall.md) | 1,007.42elo | CI 999.38–1,015.46 | 20 / 37 | — | — | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1007.416774904243 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1MFkc3sXfbKCqf criterion overall participantId par_1MFl7Da7c7ILnh sourceModelVersion gemini-3.5-flash weighted false ### Reported statistics Uncertainty Confidence interval: 999.38–1,015.46 confidenceIntervalLowerOffset 8.03971622207564 confidenceIntervalUpperOffset 8.039716222075754 totalMatches 41822.681069154234 wins 23367.157316269324 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query) Source rapidata Original model label gemini-3.5-flash Source version v1 Observed 2026-10-21T16:37:39.078Z Evidence SHA-256 `4b73ff7e4ca0ecfd64f7888c2d64f3398a058c945c4644acd54eddb330e16d66` Source locator `/items/36` |  |  |  |  |  |  |  |
| [Project Euler](https://benchize.com/benchmarks/matharena%3Aeuler--euler.md) | 82% | 95% CI 74.47–89.53% | 4 / 10 | 1.48usd per problem | — | [matharena · euler--euler](https://matharena.ai/competition_tables/euler--euler) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 82.00 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 1.48 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition euler--euler predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 74.47–89.53% confidenceInterval95 7.53 problems 50 ### Source [Original source](https://matharena.ai/competition_tables/euler--euler) Source matharena Original model label Gemini 3.5 Flash Source version euler--euler Observed 2026-10-21T16:52:41.889Z Evidence SHA-256 `f965e69ef39c2cc9c950899809f028eda1d49070afaf6272153ba51fa222ba3d` Source locator `/table/rows/3` |  |  |  |  |  |  |  |
| [SimpleBench](https://benchize.com/benchmarks/simplebench%3Aavg-at-5.md) | 76.7% | — | 10 / 62 | — | — | [simplebench](https://simple-bench.com/static/js/leaderboard-data.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 76.7 \| percent \| average_at_5 \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Gemini 3.5 Flash thinkingEnabled Not reported ### Reported statistics rank 12th ### Source [Original source](https://simple-bench.com/static/js/leaderboard-data.js) Source simplebench Original model label Gemini 3.5 Flash Observed 2026-10-21T16:32:13.183Z Evidence SHA-256 `b2d0285ad3e4e15750ed20d39897e7558d1c05e8962e90c861b06f93c8019dc9` Source locator `/rows/13` |  |  |  |  |  |  |  |
| [DesignArena Image to web application](https://benchize.com/benchmarks/designarena%3Aimage-to-webapp.md) | 1,141elo | SE ±13.03 | 20 / 24 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=image-to-webapp) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1141 \| elo \| image-to-webapp \| Higher is better \| ### Configuration arenaType agents category agon_webapps inputModality image sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics Uncertainty Standard error: ±13.03 averageGenerationTimeMs Not reported battles 768 losses 432 standardError 13.0272 winRate 43.8 wins 336 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=image-to-webapp) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:37:59.412Z Evidence SHA-256 `cc4e49fc057d3b786184ff44b697422e2420a174e8a98a80a77aa65021921ab4` Source locator `/data/23` |  |  |  |  |  |  |  |
| [DesignArena Full-stack application development](https://benchize.com/benchmarks/designarena%3Afullstack.md) | 1,197elo | SE ±6.19 | 17 / 31 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=fullstack) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1197 \| elo \| fullstack \| Higher is better \| ### Configuration arenaType agents category fullstack inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics Uncertainty Standard error: ±6.19 averageGenerationTimeMs Not reported battles 4033 losses 1765 standardError 6.1871 winRate 56.2 wins 2268 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=fullstack) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:00.857Z Evidence SHA-256 `aa171459dd44cfad57fba8da746c40b27832b57dc731b1198bdb71c73ddd0f97` Source locator `/data/21` |  |  |  |  |  |  |  |
| [Longform Creative Writing](https://benchize.com/benchmarks/eq-bench%3Alongform-writing.md) | 71.8% | — | 31 / 93 | — | — | [eq bench · longform-writing](https://eqbench.com/creative_writing_longform.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `overall_score_100` \| 71.8 \| percent \| overall \| Higher is better \| \| `chapter1_avg` \| 15.73 \| rubric_score \| overall \| Higher is better \| \| `chapter2_avg` \| 15.34 \| rubric_score \| overall \| Higher is better \| \| `chapter3_avg` \| 14.99 \| rubric_score \| overall \| Higher is better \| \| `chapter4_avg` \| 15.18 \| rubric_score \| overall \| Higher is better \| \| `chapter5_avg` \| 14.87 \| rubric_score \| overall \| Higher is better \| \| `chapter6_avg` \| 15.04 \| rubric_score \| overall \| Higher is better \| \| `chapter7_avg` \| 14.44 \| rubric_score \| overall \| Higher is better \| \| `chapter8_avg` \| 14.95 \| rubric_score \| overall \| Higher is better \| \| `final_judgement_avg` \| 14.14 \| rubric_score \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol longform-writing sourceModelVersion gemini-3.5-flash ### Source [Original source](https://eqbench.com/creative_writing_longform.js) Source eq bench Original model label gemini-3.5-flash Source version longform-writing Observed 2026-10-21T16:35:02.575Z Evidence SHA-256 `3ba283ce357ac7620e16db640a961879c30fe3ddc50a27de9a8ed4290784825c` Source locator `/leaderboardDataLongformV3/113` |  |  |  |  |  |  |  |
| [BrokenArXiv 03/2026](https://benchize.com/benchmarks/matharena%3Aarxiv_false--march.md) | 16.07% | 95% CI 9.27–22.87% | 5 / 14 | 0.3usd per problem | — | [matharena · arxiv_false--march](https://matharena.ai/competition_tables/arxiv_false--march) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 16.07 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.30 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv_false--march predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 9.27–22.87% confidenceInterval95 6.80 problems 56 ### Source [Original source](https://matharena.ai/competition_tables/arxiv_false--march) Source matharena Original model label Gemini 3.5 Flash Source version arxiv_false--march Observed 2026-10-21T16:52:24.043Z Evidence SHA-256 `b2ea8c773acad8b54736938938d6ee37fa533bfc5b985eefc303733bfcb0c6f0` Source locator `/table/rows/4` |  |  |  |  |  |  |  |
| [FinanceBenchmark v2](https://benchize.com/benchmarks/financebenchmark%3Av2.md) | 83.56% | CI 73.97–91.78% | 17 / 21 | — | — | [financebenchmark](https://finbenchmark.ai/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `pass_at_1` \| 0.835616 \| score_fraction \| reported \| Higher is better \| \| `accuracy` \| 0.817352 \| score_fraction \| reported \| Higher is better \| \| `knowledge` \| 1 \| score_fraction \| category \| Higher is better \| \| `analysis` \| 1 \| score_fraction \| category \| Higher is better \| \| `quant` \| 0.333333 \| score_fraction \| category \| Higher is better \| \| `portfolio_mgmt` \| 0.833333 \| score_fraction \| category \| Higher is better \| \| `credit_underwriting` \| 1 \| score_fraction \| category \| Higher is better \| \| `banking_regulation` \| 0.8 \| score_fraction \| category \| Higher is better \| \| `derivatives_structuring` \| 1 \| score_fraction \| category \| Higher is better \| \| `corporate_finance` \| 1 \| score_fraction \| category \| Higher is better \| ### Configuration harnessVersion 0.2.0 Reasoning effort unknown sourceRunId dddce011-d449-485e-a221-9b1672cf3e93 taskSetVersion v2 ### Reported statistics Uncertainty Confidence interval: 73.97–91.78% confidenceInterval [0.7397,0.9178] confidenceMethod percentile bootstrap over tasks, n=5000, alpha=0.05 sampleSize 73 ### Source [Original source](https://finbenchmark.ai/) Source financebenchmark Original model label gemini-3.5-flash Evaluated 2026-07-13T11:41:27.758085+00:00 Observed 2026-10-21T16:30:44.281Z Evidence SHA-256 `f9e7dab8846b092fc0befeca8c5cd02a8187c0f5b6b10c32ab2c7ab60f7af575` Source locator `/rows/20` |  |  |  |  |  |  |  |
| [ToneBench Scriptwriting](https://benchize.com/benchmarks/tonebench%3Ascripts.md) | 1,099.2 | Range 1,055–1,138.2 | 97 / 126 | — | — | [tonebench](https://benchmark.towardsai.com/data/leaderboard.json) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1099.2 \| rating \| reported \| Higher is better \| \| `overall` \| 69.54 \| percent \| reported \| Higher is better \| \| `anti_slop_numbers` \| 59.8 \| source_score \| rubric \| Higher is better \| \| `continuity_emotion` \| 70.4 \| source_score \| rubric \| Higher is better \| \| `cue_quality` \| 72.36 \| source_score \| rubric \| Higher is better \| \| `hook_strength` \| 73.72 \| source_score \| rubric \| Higher is better \| \| `length_adherence` \| 86.55 \| source_score \| rubric \| Higher is better \| \| `slop` \| 74.36 \| source_score \| rubric \| Higher is better \| \| `slop_score` \| 88.93 \| source_score \| rubric \| Higher is better \| \| `substance_accuracy` \| 70.7 \| source_score \| rubric \| Higher is better \| \| `tone_voice` \| 58.44 \| source_score \| rubric \| Higher is better \| \| `writing_quality` \| 66.47 \| source_score \| rubric \| Higher is better \| \| `youtube_best_practices` \| 70.23 \| source_score \| rubric \| Higher is better \| ### Configuration provider google Reasoning effort unknown scoreScope 10_task_current sourceConfiguration gemini-3-5-flash ### Reported statistics Uncertainty Reported interval: 1,055–1,138.2 interval [1055,1138.2] rank 101 runCount 5 ### Source [Original source](https://benchmark.towardsai.com/data/leaderboard.json) Source tonebench Original model label Gemini 3.5 Flash (medium thinking) Evaluated 2026-10-11 Observed 2026-10-21T16:32:48.862Z Evidence SHA-256 `4264338337f418d3ded7ace250cad64fe12cacbd4b79a312bfaf0ae9268a01c3` Source locator `/rows/100` |  |  |  |  |  |  |  |
| [DesignArena 3D design generation](https://benchize.com/benchmarks/designarena%3A3d-design.md) | 1,244elo | — | 29 / 110 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=3d-design) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1244 \| elo \| 3d-design \| Higher is better \| ### Configuration arenaType models category 3d inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 70356 battles 7365 losses 3255 standardError Not reported winRate 55.8 wins 4110 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=3d-design) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:37:58.515Z Evidence SHA-256 `bcc0267f7bc7e9ec112306b3a35413cf78bbccbfaa838356232d5d5ed0b83d0f` Source locator `/data/45` |  |  |  |  |  |  |  |
| [ArXivMath 02/2026](https://benchize.com/benchmarks/matharena%3Aarxiv--february.md) | 50.78% | 95% CI 42.12–59.44% | 7 / 20 | 0.27usd per problem | — | [matharena · arxiv--february](https://matharena.ai/competition_tables/arxiv--february) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 50.78 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.27 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv--february predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 42.12–59.44% confidenceInterval95 8.66 problems 32 ### Source [Original source](https://matharena.ai/competition_tables/arxiv--february) Source matharena Original model label Gemini 3.5 Flash Source version arxiv--february Observed 2026-10-21T16:52:27.963Z Evidence SHA-256 `3bc5b0a1eb91a0bdaa3d0942ebf82327a8664334b225ae3b2dc1d8b4f57efa51` Source locator `/table/rows/6` |  |  |  |  |  |  |  |
| [Apex](https://benchize.com/benchmarks/matharena%3Aapex--apex_2025.md) | 32.29% | 95% CI 22.94–41.64% | 8 / 30 | 0.3usd per problem | — | [matharena · apex--apex_2025](https://matharena.ai/competition_tables/apex--apex_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 32.29 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.30 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition apex--apex_2025 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 22.94–41.64% confidenceInterval95 9.35 problems 12 ### Source [Original source](https://matharena.ai/competition_tables/apex--apex_2025) Source matharena Original model label Gemini 3.5 Flash Source version apex--apex_2025 Observed 2026-10-21T16:52:38.728Z Evidence SHA-256 `20b28370d9d7f5a15a19fc9e4226c9857cdb07bc42b32ccec508e687b7b9f3fc` Source locator `/table/rows/8` |  |  |  |  |  |  |  |
| [DesignArena SVG generation](https://benchize.com/benchmarks/designarena%3Asvgs.md) | 1,254elo | — | 14 / 77 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=svgs) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1254 \| elo \| svgs \| Higher is better \| ### Configuration arenaType models category svg inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 80728 battles 3405 losses 1421 standardError Not reported winRate 58.3 wins 1984 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=svgs) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:03.249Z Evidence SHA-256 `8cbc34a474a66ef5c64f3ffe557df9b55bf7e13368c07c0214223e3ed8f3f21e` Source locator `/data/22` |  |  |  |  |  |  |  |
| [BrokenArXiv 02/2026](https://benchize.com/benchmarks/matharena%3Aarxiv_false--february.md) | 6.45% | 95% CI 0.33–12.57% | 13 / 15 | 0.3usd per problem | — | [matharena · arxiv_false--february](https://matharena.ai/competition_tables/arxiv_false--february) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 6.45 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.30 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv_false--february predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 0.33–12.57% confidenceInterval95 6.12 problems 31 ### Source [Original source](https://matharena.ai/competition_tables/arxiv_false--february) Source matharena Original model label Gemini 3.5 Flash Source version arxiv_false--february Observed 2026-10-21T16:52:23.532Z Evidence SHA-256 `a6bc6fc18da7dd181ed727da924f9569d3e323c31c1aba9a4d9fa3bff492bee3` Source locator `/table/rows/13` |  |  |  |  |  |  |  |
| [BrokenArXiv 04/2026](https://benchize.com/benchmarks/matharena%3Aarxiv_false--april.md) | 21.31% | 95% CI 14.04–28.58% | 10 / 17 | 0.3usd per problem | — | [matharena · arxiv_false--april](https://matharena.ai/competition_tables/arxiv_false--april) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 21.31 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.30 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv_false--april predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 14.04–28.58% confidenceInterval95 7.27 problems 61 ### Source [Original source](https://matharena.ai/competition_tables/arxiv_false--april) Source matharena Original model label Gemini 3.5 Flash Source version arxiv_false--april Observed 2026-10-21T16:52:24.402Z Evidence SHA-256 `e543f14dac0ba9663e8104a87738726c9848b89171a53fdca89b7baa4a892399` Source locator `/table/rows/11` |  |  |  |  |  |  |  |
| [DesignArena Image to HTML](https://benchize.com/benchmarks/designarena%3Aimage-to-html.md) | 1,187elo | — | 25 / 35 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=image-to-html) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1187 \| elo \| image-to-html \| Higher is better \| ### Configuration arenaType models category website inputModality image sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 94205 battles 2441 losses 1225 standardError Not reported winRate 49.8 wins 1216 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=image-to-html) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:37:58.959Z Evidence SHA-256 `94f97ebbdd53a8c56f138b620e59b3a9b35c66c3954dcaaa1b2ed4c71518b404` Source locator `/data/28` |  |  |  |  |  |  |  |
| [DesignArena ASCII art generation](https://benchize.com/benchmarks/designarena%3Aascii.md) | 1,254elo | — | 18 / 65 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ascii) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1254 \| elo \| ascii \| Higher is better \| ### Configuration arenaType models category ascii inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 84799 battles 1389 losses 570 standardError Not reported winRate 59 wins 819 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ascii) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:03.513Z Evidence SHA-256 `0603b8c65b44ee887f5b566feb469465f59635137a6ac5c6d94c23bcf3776311` Source locator `/data/21` |  |  |  |  |  |  |  |
| [Kangaroo 2025 1-2](https://benchize.com/benchmarks/matharena%3Akangaroo--kangaroo_2025_1-2.md) | 89.58% | 95% CI 80.94–98.22% | 3 / 16 | 0.05usd per problem | — | [matharena · kangaroo--kangaroo_2025_1-2](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_1-2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 89.58 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.052 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition kangaroo--kangaroo_2025_1-2 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 80.94–98.22% confidenceInterval95 8.64 problems 24 ### Source [Original source](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_1-2) Source matharena Original model label Gemini 3.5 Flash Source version kangaroo--kangaroo_2025_1-2 Observed 2026-10-21T16:52:31.513Z Evidence SHA-256 `a59a4c362e2d87350330706a01dd330e9a1ac7cc64a4de0bacbf1a439d8fcf90` Source locator `/table/rows/3` |  |  |  |  |  |  |  |
| [DesignArena Godot game development](https://benchize.com/benchmarks/designarena%3Agodot-game-dev.md) | 1,098elo | SE ±10.93 | 14 / 14 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=godot-game-dev) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1098 \| elo \| godot-game-dev \| Higher is better \| ### Configuration arenaType agents category agon_godot inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics Uncertainty Standard error: ±10.93 averageGenerationTimeMs Not reported battles 1345 losses 767 standardError 10.931 winRate 43 wins 578 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=godot-game-dev) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:02.075Z Evidence SHA-256 `0aad65341ae5287f97ba93448674c557edad76a4e41056ec30cc32bf05d3a7e3` Source locator `/data/20` |  |  |  |  |  |  |  |
| [Rapidata SVG generation — Alignment](https://benchize.com/benchmarks/rapidata%3Asvg%3Arlb_1MFkk9yZHssERh.md) | 1,045.53elo | CI 1,031.14–1,059.91 | 20 / 37 | — | — | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkk9yZHssERh) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1045.5279968136447 \| elo \| rlb_1MFkk9yZHssERh \| Higher is better \| ### Configuration benchmarkId bmk_1MFkc3sXfbKCqf criterion rlb_1MFkk9yZHssERh participantId par_1MFl7Da7c7ILnh sourceModelVersion gemini-3.5-flash weighted false ### Reported statistics Uncertainty Confidence interval: 1,031.14–1,059.91 confidenceIntervalLowerOffset 14.386071653297904 confidenceIntervalUpperOffset 14.386071653297677 totalMatches 14195 wins 8482 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkk9yZHssERh) Source rapidata Original model label gemini-3.5-flash Source version v1 Observed 2026-10-21T16:37:40.342Z Evidence SHA-256 `2f5c8d08728735790b500d930d71b66f04253f1209f7c1c3da0db0846c163fcf` Source locator `/items/34` |  |  |  |  |  |  |  |
| [BrokenArXiv 06/2026](https://benchize.com/benchmarks/matharena%3Aarxiv_false--june.md) | 12.35% | 95% CI 7.28–17.42% | 19 / 21 | 0.32usd per problem | — | [matharena · arxiv_false--june](https://matharena.ai/competition_tables/arxiv_false--june) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 12.35 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.32 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition arxiv_false--june predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 7.28–17.42% confidenceInterval95 5.07 problems 54 ### Source [Original source](https://matharena.ai/competition_tables/arxiv_false--june) Source matharena Original model label Gemini 3.5 Flash Source version arxiv_false--june Observed 2026-10-21T16:52:25.323Z Evidence SHA-256 `f6d7e2280d05706643d46ae7786bd3fad6d912e4893781c3f62c73deebf38459` Source locator `/table/rows/25` |  |  |  |  |  |  |  |
| [Kangaroo 2025 3-4](https://benchize.com/benchmarks/matharena%3Akangaroo--kangaroo_2025_3-4.md) | 72.92% | 95% CI 60.35–85.49% | 5 / 16 | 0.1usd per problem | — | [matharena · kangaroo--kangaroo_2025_3-4](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_3-4) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 72.92 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.10 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition kangaroo--kangaroo_2025_3-4 predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 60.35–85.49% confidenceInterval95 12.57 problems 24 ### Source [Original source](https://matharena.ai/competition_tables/kangaroo--kangaroo_2025_3-4) Source matharena Original model label Gemini 3.5 Flash Source version kangaroo--kangaroo_2025_3-4 Observed 2026-10-21T16:52:32.012Z Evidence SHA-256 `38fec99c55752fef6703c9ed49d9e1e204b235f2bd78d5ee47725dac9e5da89c` Source locator `/table/rows/5` |  |  |  |  |  |  |  |
| [DesignArena Agentic game development](https://benchize.com/benchmarks/designarena%3Aagentic-game-dev.md) | 1,180elo | SE ±6.91 | 11 / 17 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=agentic-game-dev) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1180 \| elo \| agentic-game-dev \| Higher is better \| ### Configuration arenaType agents category agentic_gamedev inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics Uncertainty Standard error: ±6.91 averageGenerationTimeMs Not reported battles 3587 losses 1600 standardError 6.9079 winRate 55.4 wins 1987 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=agentic-game-dev) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:01.564Z Evidence SHA-256 `2bb291527289cec897df421c3c59427ce53230a312bf61790ba7ac6ca436bb4b` Source locator `/data/14` |  |  |  |  |  |  |  |
| [ArXivMath Overall](https://benchize.com/benchmarks/matharena%3Aoverall--visual_math.md) | 89.86% | 95% CI 86.65–93.07% | 3 / 15 | 0.06usd per problem | — | [matharena · overall--visual_math](https://matharena.ai/competition_tables/overall--visual_math) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 89.86 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.059 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition overall--visual_math predicted false sourceModelName Gemini 3.5 Flash sourceModelVersion gemini/gemini-35-flash ### Reported statistics Uncertainty 95% confidence interval: 86.65–93.07% confidenceInterval95 3.21 problems Not reported ### Source [Original source](https://matharena.ai/competition_tables/overall--visual_math) Source matharena Original model label Gemini 3.5 Flash Source version overall--visual_math Observed 2026-10-21T16:52:30.998Z Evidence SHA-256 `b38d1f465012aab8b7d0930aea897d4e5be10ec02c16643c24c9251c8febb173` Source locator `/table/rows/3` |  |  |  |  |  |  |  |
| [DesignArena UI component generation](https://benchize.com/benchmarks/designarena%3Aui-components.md) | 1,273elo | — | 28 / 112 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ui-components) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1273 \| elo \| ui-components \| Higher is better \| ### Configuration arenaType models category uicomponent inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 68443 battles 3220 losses 1471 standardError Not reported winRate 54.3 wins 1749 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ui-components) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:37:57.993Z Evidence SHA-256 `46482ec1b4012638eace65493daea4750e2088098018fd9d5fc46126fc1f8557` Source locator `/data/39` |  |  |  |  |  |  |  |
| [DesignArena Native Android development](https://benchize.com/benchmarks/designarena%3Aandroid.md) | 1,191elo | — | 12 / 23 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=android) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1191 \| elo \| android \| Higher is better \| ### Configuration arenaType agents category nativeapps inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs Not reported battles 2409 losses 1020 standardError Not reported winRate 57.7 wins 1389 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=android) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:03.000Z Evidence SHA-256 `d9d0cd4bea54b696c28f907a98ba42ebf8dd4da9da201b6c70c95f76de35f525` Source locator `/data/14` |  |  |  |  |  |  |  |
| [DesignArena Browser game generation](https://benchize.com/benchmarks/designarena%3Agame-dev.md) | 1,263elo | — | 29 / 117 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=game-dev) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1263 \| elo \| game-dev \| Higher is better \| ### Configuration arenaType models category gamedev inputModality Not reported sourceModelVersion gemini-3.5-flash variationName public ### Reported statistics averageGenerationTimeMs 98189 battles 6177 losses 2923 standardError Not reported winRate 52.7 wins 3254 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=game-dev) Source designarena Original model label Gemini 3.5 Flash Source version public Observed 2026-10-21T16:38:01.100Z Evidence SHA-256 `53db6a89112ce8cdf644568c666d4b8309aece764cfcedb291ffd52ae3934e30` Source locator `/data/39` |  |  |  |  |  |  |  |
| [Short Story Writing — Pairwise Comparison](https://benchize.com/benchmarks/lechmazur-short-story%3Apairwise.md) | -1.99 | 95% CI -2.08–-1.9 | 42 / 50 | — | — | [lechmazur short story · 8ba548d1cffefa5c472d3832e05f64e119a88fa4](https://api.github.com/repos/lechmazur/writing/contents/data/writing_gemini_argon_20261013/ratings.csv?ref=8ba548d1cffefa5c472d3832e05f64e119a88fa4) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `thurstone_rating` \| -1.9883734732594616 \| index \| pooled_observed_panel \| Higher is better \| \| `win_probability` \| 0.21932130001084554 \| score_fraction \| comparison_pool \| Higher is better \| ### Configuration benchmarkScope data/writing_gemini_argon_20261013 ### Reported statistics Uncertainty 95% confidence interval: -2.08–-1.9 bootstrapSamples 300 confidenceInterval95 ["-2.076116928787029","-1.9000101605550352"] sourceRank 49 ### Source [Original source](https://api.github.com/repos/lechmazur/writing/contents/data/writing_gemini_argon_20261013/ratings.csv?ref=8ba548d1cffefa5c472d3832e05f64e119a88fa4) Source lechmazur short story Original model label Gemini 3.5 Flash Source version 8ba548d1cffefa5c472d3832e05f64e119a88fa4 Observed 2026-10-21T16:34:21.130Z Evidence SHA-256 `c36baebed9f302ff7ad8fe97907d72e1757a015a39b6a3b23437597cf8e3bff6` Source locator `/rows/48` |  |  |  |  |  |  |  |

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Cite as: Gemini 3.5 Flash — Benchize, https://benchize.com/models/gemini-3-5-flash (retrieved 2026-10-21)