# GPT-4o

> Source: Benchize (https://benchize.com) — https://benchize.com/models/gpt-4o. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/gpt-4o.

OpenAI

Canonical URL: https://benchize.com/models/gpt-4o
Last updated: Thu, 22 Oct 2026 08:20:15 GMT

Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations.

OpenAI

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [DesignArena UI component generation](https://benchize.com/benchmarks/designarena%3Aui-components.md) | 885elo | — | 111 / 112 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ui-components) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 885 \| elo \| ui-components \| Higher is better \| ### Configuration arenaType models category uicomponent inputModality Not reported sourceModelVersion gpt-4o variationName public ### Reported statistics averageGenerationTimeMs 12849 battles 197 losses 122 standardError Not reported winRate 38.1 wins 75 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ui-components) Source designarena Original model label GPT-4o Source version public Observed 2026-10-21T16:37:57.993Z Evidence SHA-256 `46482ec1b4012638eace65493daea4750e2088098018fd9d5fc46126fc1f8557` Source locator `/data/169` |  |  |  |  |  |  |
| [MultiNRC](https://benchize.com/benchmarks/scale%3Amultinrc.md) | 12.42source score | CI 10.43–14.41 | 13 / 15 | — | [scale](https://labs.scale.com/leaderboard/multinrc) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 12.42 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration GPT-4o sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 10.43–14.41 contaminationWarning Not reported rank 41 reportedConfidenceHalfWidth 1.99 ### Source [Original source](https://labs.scale.com/leaderboard/multinrc) Source scale Original model label GPT-4o Observed 2026-10-22T03:30:11.806Z Evidence SHA-256 `6f8d6d2a3da92da83c015fe86a75cf2d33b76bb4fcd05d83781ad835c0b17f2e` Source locator `/rows/40` |  |  |  |  |  |  |
| [MAGI-Hard](https://benchize.com/benchmarks/eq-bench%3Amagi-hard.md) | 80.86% | — | 2 / 14 | — | [eq bench · magi-hard](https://eqbench.com/eqbench-v2.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 80.86 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol magi-hard sourceModelVersion gpt-4o ### Source [Original source](https://eqbench.com/eqbench-v2.js) Source eq bench Original model label gpt-4o Source version magi-hard Observed 2026-10-22T05:10:05.138Z Evidence SHA-256 `088fe07c18b4347c82113934c58bb801cdb21adfe80852c7d0854e9818749dcd` Source locator `/leaderboardDataMagi/123` |  |  |  |  |  |  |
| [DesignArena Overall frontend coding](https://benchize.com/benchmarks/designarena%3Acode.md) | 861elo | SE ±9.28 | 115 / 116 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=code) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 861 \| elo \| code \| Higher is better \| ### Configuration arenaType models category allcategories inputModality text sourceModelVersion gpt-4o variationName public ### Reported statistics Uncertainty Standard error: ±9.28 averageGenerationTimeMs 14190 battles 1780 losses 1161 standardError 9.2833 winRate 34.8 wins 619 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=code) Source designarena Original model label GPT-4o Source version public Observed 2026-10-21T16:37:57.301Z Evidence SHA-256 `0c897b58670f5e352bd123db999a40c0d1781a443964c502b90774a76a3a7758` Source locator `/data/179` |  |  |  |  |  |  |
| [SWE-bench Multimodal](https://benchize.com/benchmarks/swe-bench%3Amultimodal.md) | 9.28% | — | 12 / 14 | — | [SWE-bench](https://www.swebench.com/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `resolved` \| 9.28 \| percent \| multimodal \| Higher is better \| ### Configuration agent SWE-agent JavaScript agentOrganization SWE-agent models Not reported Reasoning effort Not reported sourceSubmission 20241006_SWE-agent_JS_gpt4o subset Multimodal system ["System: Attempts - 1"] ### Source [Original source](https://www.swebench.com/) Source SWE-bench Original model label GPT-4o Observed 2026-10-22T02:30:05.773Z Evidence SHA-256 `c862011a4ee1d1a7199fad6ca0905fa5c64f58216f7217ac1eddf37f28788433` Source locator `/leaderboard-data/4/results/17` |  |  |  |  |  |  |
| [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,297 | — | 108 / 191 | — | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1297 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_openai_gpt_4o ### Reported statistics coverageCount 27 draws 0 judged 45 losses 30 rank 161 ratingDeviation 28 wins 15 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label GPT-4o Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/155` |  |  |  |  |  |  |
| [SWE-bench Verified](https://benchize.com/benchmarks/swe-bench%3Averified.md) | 21.62% | — | 59 / 63 | — | [SWE-bench](https://www.swebench.com/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `resolved` \| 21.62 \| percent \| verified \| Higher is better \| ### Configuration agent mini-SWE-agent agentOrganization SWE-agent models ["gpt-4o-20241120"] Reasoning effort Not reported sourceSubmission 20250720_mini-v0.0.0-gpt-4o-2024-11-20 subset Verified system ["System: Attempts - 1"] ### Reported statistics instanceCalls 63.066 instanceCost 1.531148125 sourceWarning Not reported ### Source [Original source](https://www.swebench.com/) Source SWE-bench Original model label GPT 4o Observed 2026-10-22T02:30:05.773Z Evidence SHA-256 `c862011a4ee1d1a7199fad6ca0905fa5c64f58216f7217ac1eddf37f28788433` Source locator `/leaderboard-data/2/results/166` |  |  |  |  |  |  |
| [AIME 2025](https://benchize.com/benchmarks/aime-2025.md) | 11.67% | 95% CI 5.93–17.41% | 35 / 36 | 0.009usd per problem | [matharena · aime--aime_2025](https://matharena.ai/competition_tables/aime--aime_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 11.67 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.009 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition aime--aime_2025 predicted false sourceModelName gpt-4o sourceModelVersion openai/gpt-4o ### Reported statistics Uncertainty 95% confidence interval: 5.93–17.41% confidenceInterval95 5.74 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/aime--aime_2025) Source matharena Original model label gpt-4o Source version aime--aime_2025 Observed 2026-10-22T05:30:11.892Z Evidence SHA-256 `fab0abcecc4032852ef2cbd2a84d34ffc42202be358b2994bfaba44ae7a0cd9a` Source locator `/table/rows/59` |  |  |  |  |  |  |
| [EQ-Bench v2](https://benchize.com/benchmarks/eq-bench%3Aeqbench-v2.md) | 83.51% | — | 3 / 18 | — | [eq bench · eqbench-v2](https://eqbench.com/eqbench-v2.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 83.51 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol eqbench-v2 sourceModelVersion gpt-4o ### Source [Original source](https://eqbench.com/eqbench-v2.js) Source eq bench Original model label gpt-4o Source version eqbench-v2 Observed 2026-10-22T05:10:05.138Z Evidence SHA-256 `088fe07c18b4347c82113934c58bb801cdb21adfe80852c7d0854e9818749dcd` Source locator `/leaderboardDataEqbench/131` |  |  |  |  |  |  |
| [SWE-bench Multimodal](https://benchize.com/benchmarks/swe-bench%3Amultimodal.md) | 12.19% | — | 9 / 14 | — | [SWE-bench](https://www.swebench.com/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `resolved` \| 12.19 \| percent \| multimodal \| Higher is better \| ### Configuration agent SWE-agent Multimodal agentOrganization SWE-agent models Not reported Reasoning effort Not reported sourceSubmission 20241006_SWE-agent_M_gpt4o subset Multimodal system ["System: Attempts - 1"] ### Source [Original source](https://www.swebench.com/) Source SWE-bench Original model label GPT-4o Observed 2026-10-22T02:30:05.773Z Evidence SHA-256 `c862011a4ee1d1a7199fad6ca0905fa5c64f58216f7217ac1eddf37f28788433` Source locator `/leaderboard-data/4/results/12` |  |  |  |  |  |  |
| [TutorBench](https://benchize.com/benchmarks/scale%3Atutorbench.md) | 36.12source score | CI 35.16–37.08 | 5 / 5 | — | [scale](https://labs.scale.com/leaderboard/tutorbench) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 36.12 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration gpt-4o sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 35.16–37.08 contaminationWarning Not reported rank 27 reportedConfidenceHalfWidth 0.96 ### Source [Original source](https://labs.scale.com/leaderboard/tutorbench) Source scale Original model label gpt-4o Observed 2026-10-22T03:30:13.565Z Evidence SHA-256 `0781b5e5b5cbf9b6719dc352dd9892419af70b4245b6546a58710e530da7ac13` Source locator `/rows/26` |  |  |  |  |  |  |
| [Fortress](https://benchize.com/benchmarks/scale%3Afortress.md) | 47.18source score | CI 43.82–50.54 | 10 / 31 | — | [scale](https://labs.scale.com/leaderboard/fortress) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 47.18 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration GPT-4o sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 43.82–50.54 contaminationWarning ORS score: 1.68 rank 55 reportedConfidenceHalfWidth 3.36 ### Source [Original source](https://labs.scale.com/leaderboard/fortress) Source scale Original model label GPT-4o Observed 2026-10-22T03:30:12.378Z Evidence SHA-256 `2c005102a7346206e5d31d9249d525620bef39f6d514668ed48398e710616b0f` Source locator `/rows/54` |  |  |  |  |  |  |
| [DesignArena Website generation](https://benchize.com/benchmarks/designarena%3Awebsite.md) | 831elo | — | 121 / 123 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=website) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 831 \| elo \| website \| Higher is better \| ### Configuration arenaType models category website inputModality text sourceModelVersion gpt-4o variationName public ### Reported statistics averageGenerationTimeMs 14231 battles 1062 losses 727 standardError Not reported winRate 31.5 wins 335 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=website) Source designarena Original model label GPT-4o Source version public Observed 2026-10-21T16:37:57.757Z Evidence SHA-256 `51873e97776a3c5ae706b24cc2c60384793dd18398df970e213a8e7c276d8ac0` Source locator `/data/190` |  |  |  |  |  |  |
| [SWE-bench Multimodal](https://benchize.com/benchmarks/swe-bench%3Amultimodal.md) | 11.99% | — | 10 / 14 | — | [SWE-bench](https://www.swebench.com/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `resolved` \| 11.99 \| percent \| multimodal \| Higher is better \| ### Configuration agent SWE-agent agentOrganization SWE-agent models Not reported Reasoning effort Not reported sourceSubmission 20241006_SWE-agent_gpt4o subset Multimodal system ["System: Attempts - 1"] ### Source [Original source](https://www.swebench.com/) Source SWE-bench Original model label GPT-4o Observed 2026-10-22T02:30:05.773Z Evidence SHA-256 `c862011a4ee1d1a7199fad6ca0905fa5c64f58216f7217ac1eddf37f28788433` Source locator `/leaderboard-data/4/results/15` |  |  |  |  |  |  |
| [HMMT Feb 2025](https://benchize.com/benchmarks/matharena%3Ahmmt--hmmt_feb_2025.md) | 5.83% | 95% CI 1.64–10.02% | 34 / 35 | 0.008usd per problem | [matharena · hmmt--hmmt_feb_2025](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 5.83 \| percent \| competition \| Higher is better \| \| `cost_per_problem` \| 0.008 \| usd_per_problem \| competition \| Lower is better \| ### Configuration competition hmmt--hmmt_feb_2025 predicted false sourceModelName gpt-4o sourceModelVersion openai/gpt-4o ### Reported statistics Uncertainty 95% confidence interval: 1.64–10.02% confidenceInterval95 4.19 problems 30 ### Source [Original source](https://matharena.ai/competition_tables/hmmt--hmmt_feb_2025) Source matharena Original model label gpt-4o Source version hmmt--hmmt_feb_2025 Observed 2026-10-22T05:30:12.126Z Evidence SHA-256 `8554225c26eb7a3c2649943ee7cf6b404ec1f7441b20fbdcfccbf35b9a864864` Source locator `/table/rows/58` |  |  |  |  |  |  |
| [Creative Writing v2](https://benchize.com/benchmarks/eq-bench%3Acreative-writing-v2.md) | 75.61% | CI 74.87–76.34% | 11 / 18 | — | [eq bench · creative-writing-v2](https://eqbench.com/creative_writing_v2.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 75.61 \| percent \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol creative-writing-v2 sourceModelVersion gpt-4o ### Reported statistics Uncertainty Confidence interval: 74.87–76.34% confidenceIntervalHigh 76.34 confidenceIntervalLow 74.87 ### Source [Original source](https://eqbench.com/creative_writing_v2.js) Source eq bench Original model label gpt-4o Source version creative-writing-v2 Observed 2026-10-22T05:10:05.638Z Evidence SHA-256 `264c33d486559c25267ca29861754404dadb674022dcdf6530388cd9951af31a` Source locator `/leaderboardDataCreativeWriting/69` |  |  |  |  |  |  |
| [DesignArena 3D design generation](https://benchize.com/benchmarks/designarena%3A3d-design.md) | 869elo | — | 106 / 110 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=3d-design) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 869 \| elo \| 3d-design \| Higher is better \| ### Configuration arenaType models category 3d inputModality Not reported sourceModelVersion gpt-4o variationName public ### Reported statistics averageGenerationTimeMs 11549 battles 194 losses 118 standardError Not reported winRate 39.2 wins 76 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=3d-design) Source designarena Original model label GPT-4o Source version public Observed 2026-10-21T16:37:58.515Z Evidence SHA-256 `bcc0267f7bc7e9ec112306b3a35413cf78bbccbfaa838356232d5d5ed0b83d0f` Source locator `/data/162` |  |  |  |  |  |  |
| [DesignArena Browser game generation](https://benchize.com/benchmarks/designarena%3Agame-dev.md) | 906elo | — | 114 / 117 | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=game-dev) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 906 \| elo \| game-dev \| Higher is better \| ### Configuration arenaType models category gamedev inputModality Not reported sourceModelVersion gpt-4o variationName public ### Reported statistics averageGenerationTimeMs 18325 battles 241 losses 139 standardError Not reported winRate 42.3 wins 102 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=game-dev) Source designarena Original model label GPT-4o Source version public Observed 2026-10-21T16:38:01.100Z Evidence SHA-256 `53db6a89112ce8cdf644568c666d4b8309aece764cfcedb291ffd52ae3934e30` Source locator `/data/174` |  |  |  |  |  |  |

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Cite as: GPT-4o — Benchize, https://benchize.com/models/gpt-4o (retrieved 2026-10-22)
