# Muse Spark 1.2

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Canonical URL: https://benchize.com/models/muse-spark-1-2
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Latency | Source |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| [DistressBench](https://benchize.com/benchmarks/scale%3Adistressbench.md) | 88.39source score | CI 87.46–89.32 | 1 / 27 | — | — | [scale](https://labs.scale.com/leaderboard/distressbench) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 88.39 \| source_score \| reported \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration muse-spark-1.2 sourceModelVersion Not reported thinkingEnabled Not reported ### Reported statistics Uncertainty Confidence interval: 87.46–89.32 contaminationWarning Not reported rank 1 reportedConfidenceHalfWidth 0.93 ### Source [Original source](https://labs.scale.com/leaderboard/distressbench) Source scale Original model label muse-spark-1.2 Observed 2026-10-21T16:35:27.403Z Evidence SHA-256 `6ca6a76569e51fde037c8e2610bdf7bc39d99b54c69b6b4dc0dba9ec2a4e24da` Source locator `/rows/0` |  |  |  |  |  |  |  |
| [Rapidata SVG generation — Preference](https://benchize.com/benchmarks/rapidata%3Asvg%3Arlb_1MFkkEMFnCNyKl.md) | 840.1elo | CI 820.11–860.08 | 29 / 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` \| 840.0950652713956 \| elo \| rlb_1MFkkEMFnCNyKl \| Higher is better \| ### Configuration benchmarkId bmk_1MFkc3sXfbKCqf criterion rlb_1MFkkEMFnCNyKl participantId par_1SfXdIM0YCuNxN sourceModelVersion muse-spark-1.2 weighted false ### Reported statistics Uncertainty Confidence interval: 820.11–860.08 confidenceIntervalLowerOffset 19.984695221310744 confidenceIntervalUpperOffset 19.984695221310744 totalMatches 6872 wins 3076 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkkEMFnCNyKl) Source rapidata Original model label muse-spark-1.2 Source version v1 Observed 2026-10-21T16:37:40.980Z Evidence SHA-256 `b70f07a4924c82499996aba613ca8ec2d0aee9ec9ebd404e45c8bf250206cf40` Source locator `/items/51` |  |  |  |  |  |  |  |
| [DesignArena SVG generation](https://benchize.com/benchmarks/designarena%3Asvgs.md) | 1,286elo | — | 11 / 77 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=svgs) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1286 \| elo \| svgs \| Higher is better \| ### Configuration arenaType models category svg inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 153426 battles 2087 losses 931 standardError Not reported winRate 55.4 wins 1156 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=svgs) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:03.249Z Evidence SHA-256 `8cbc34a474a66ef5c64f3ffe557df9b55bf7e13368c07c0214223e3ed8f3f21e` Source locator `/data/15` |  |  |  |  |  |  |  |
| [Vals Multimodal Index / finance agent](https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Afinance_agent.md) | 59.42% | SE ±1.47 pp | 1 / 20 | $0.73 | 304.04source 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` \| 59.422 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.725022 \| USD \| per_test \| Lower is better \| \| `latency` \| 304.037 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Meta reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.47 pp sourcePopulation 33 stderr 1.467 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/finance_agent/meta~1muse_spark_1_2` |  |  |  |  |  |  |  |
| [SimpleBench](https://benchize.com/benchmarks/simplebench%3Aavg-at-5.md) | 74.5% | — | 12 / 62 | — | — | [simplebench](https://simple-bench.com/static/js/leaderboard-data.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.5 \| percent \| average_at_5 \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Muse Spark 1.2 thinkingEnabled Not reported ### Reported statistics rank 16th ### Source [Original source](https://simple-bench.com/static/js/leaderboard-data.js) Source simplebench Original model label Muse Spark 1.2 Observed 2026-10-21T16:32:13.183Z Evidence SHA-256 `b2d0285ad3e4e15750ed20d39897e7558d1c05e8962e90c861b06f93c8019dc9` Source locator `/rows/17` |  |  |  |  |  |  |  |
| [DesignArena Agentic web applications](https://benchize.com/benchmarks/designarena%3Awebapps.md) | 1,222elo | SE ±7.97 | 18 / 39 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=webapps) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1222 \| elo \| webapps \| Higher is better \| ### Configuration arenaType agents category agon_webapps inputModality text sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics Uncertainty Standard error: ±7.97 averageGenerationTimeMs Not reported battles 2089 losses 1039 standardError 7.9708 winRate 50.3 wins 1050 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=webapps) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:00.309Z Evidence SHA-256 `f955787274cf4ac627ada7cd33eaae2e08ef7297db92d3391340fcaa0b44a35f` Source locator `/data/21` |  |  |  |  |  |  |  |
| [Vals Multimodal Index / swebench](https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Aswebench.md) | 85.29% | SE ±3.51 pp | 6 / 20 | $0.64 | 638.55source 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` \| 85.294 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.644011 \| USD \| per_test \| Lower is better \| \| `latency` \| 638.55 \| 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: ±3.51 pp sourcePopulation 33 stderr 3.507 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/swebench/meta~1muse_spark_1_2` |  |  |  |  |  |  |  |
| [DesignArena Image to HTML](https://benchize.com/benchmarks/designarena%3Aimage-to-html.md) | 1,223elo | — | 14 / 35 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=image-to-html) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1223 \| elo \| image-to-html \| Higher is better \| ### Configuration arenaType models category website inputModality image sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 167028 battles 9312 losses 4467 standardError Not reported winRate 52 wins 4845 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=image-to-html) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:37:58.959Z Evidence SHA-256 `94f97ebbdd53a8c56f138b620e59b3a9b35c66c3954dcaaa1b2ed4c71518b404` Source locator `/data/14` |  |  |  |  |  |  |  |
| [Longform Creative Writing](https://benchize.com/benchmarks/eq-bench%3Alongform-writing.md) | 81.5% | — | 12 / 93 | — | — | [eq bench · longform-writing](https://eqbench.com/creative_writing_longform.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `overall_score_100` \| 81.5 \| percent \| overall \| Higher is better \| \| `chapter1_avg` \| 16.49 \| rubric_score \| overall \| Higher is better \| \| `chapter2_avg` \| 16.40 \| rubric_score \| overall \| Higher is better \| \| `chapter3_avg` \| 16.23 \| rubric_score \| overall \| Higher is better \| \| `chapter4_avg` \| 16.14 \| rubric_score \| overall \| Higher is better \| \| `chapter5_avg` \| 16.40 \| rubric_score \| overall \| Higher is better \| \| `chapter6_avg` \| 16.34 \| rubric_score \| overall \| Higher is better \| \| `chapter7_avg` \| 16.25 \| rubric_score \| overall \| Higher is better \| \| `chapter8_avg` \| 16.82 \| rubric_score \| overall \| Higher is better \| \| `final_judgement_avg` \| 16.69 \| rubric_score \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol longform-writing sourceModelVersion muse-spark-1.2 ### Source [Original source](https://eqbench.com/creative_writing_longform.js) Source eq bench Original model label muse-spark-1.2 Source version longform-writing Observed 2026-10-21T16:35:02.575Z Evidence SHA-256 `3ba283ce357ac7620e16db640a961879c30fe3ddc50a27de9a8ed4290784825c` Source locator `/leaderboardDataLongformV3/126` |  |  |  |  |  |  |  |
| [Creative Writing v3](https://benchize.com/benchmarks/eq-bench%3Acreative-writing-v3.md) | 1,840.4elo | — | 18 / 90 | — | — | [eq bench · creative-writing-v3](https://eqbench.com/creative_writing.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo_score` \| 1840.4 \| elo \| overall \| Higher is better \| \| `creative_writing_score` \| 16.44 \| rubric_score \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol creative-writing-v3 sourceModelVersion muse-spark-1.2 ### Source [Original source](https://eqbench.com/creative_writing.js) Source eq bench Original model label muse-spark-1.2 Source version creative-writing-v3 Observed 2026-10-21T16:35:01.421Z Evidence SHA-256 `722ddb132e8d3a5e5c39b8d445f8475f3f7e24893a007260c6f3e3cce5c1ee18` Source locator `/leaderboardDataCreativeWritingV3/19` |  |  |  |  |  |  |  |
| [DesignArena Agentic presentation generation](https://benchize.com/benchmarks/designarena%3Aagentic-slides.md) | 1,198elo | SE ±8.67 | 12 / 19 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=agentic-slides) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1198 \| elo \| agentic-slides \| Higher is better \| ### Configuration arenaType agents category agon_slides inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics Uncertainty Standard error: ±8.67 averageGenerationTimeMs Not reported battles 1758 losses 904 standardError 8.6686 winRate 48.6 wins 854 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=agentic-slides) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:03.963Z Evidence SHA-256 `b732c5aba2e357cf6034f23084d5f95f8e8882f62b8bf3ee340f0cd5cd773724` Source locator `/data/15` |  |  |  |  |  |  |  |
| [Judgemark v4](https://benchize.com/benchmarks/eq-bench%3Ajudgemark-v4.md) | 79.4% | CI 76.16–85.49% | 6 / 38 | — | — | [eq bench · judgemark-v4](https://eqbench.com/judgemark-v4.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.793954 \| score_fraction \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol judgemark-v4 sourceModelVersion muse-spark-1.2 ### Reported statistics Uncertainty Confidence interval: 76.16–85.49% confidenceIntervalHigh 0.854907 confidenceIntervalLow 0.761632 ### Source [Original source](https://eqbench.com/judgemark-v4.js) Source eq bench Original model label muse-spark-1.2 Source version judgemark-v4 Observed 2026-10-21T16:35:03.901Z Evidence SHA-256 `2b0d42aef4f614dd199dc38399be7b88075a919db52020c3759f190defc92a4d` Source locator `/leaderboardDataJudgemarkV4/5` |  |  |  |  |  |  |  |
| [Vals Multimodal Index / mortgage tax](https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Amortgage_tax.md) | 65.42% | SE ±0.93 pp | 18 / 20 | $0.03 | 44.62source 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` \| 65.422 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.026128 \| USD \| per_test \| Lower is better \| \| `latency` \| 44.623 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Meta reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.93 pp sourcePopulation 33 stderr 0.934 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/mortgage_tax/meta~1muse_spark_1_2` |  |  |  |  |  |  |  |
| [DesignArena Agentic HTML slide generation](https://benchize.com/benchmarks/designarena%3Aagentic-html-slides.md) | 1,135elo | — | 11 / 13 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=agentic-html-slides) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1135 \| elo \| agentic-html-slides \| Higher is better \| ### Configuration arenaType agents category agon_slides_html inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs Not reported battles 2091 losses 1255 standardError Not reported winRate 40 wins 836 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=agentic-html-slides) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:04.391Z Evidence SHA-256 `02fccc0ebb2758ba116665bc1fcb2f049b9b2f1251c0f0bb29caed69ffaf0cb0` Source locator `/data/19` |  |  |  |  |  |  |  |
| [DesignArena Overall frontend coding](https://benchize.com/benchmarks/designarena%3Acode.md) | 1,313elo | SE ±1.88 | 16 / 116 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=code) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1313 \| elo \| code \| Higher is better \| ### Configuration arenaType models category allcategories inputModality text sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics Uncertainty Standard error: ±1.88 averageGenerationTimeMs 175059 battles 50396 losses 24178 standardError 1.8758 winRate 52 wins 26218 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=code) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:37:57.301Z Evidence SHA-256 `0c897b58670f5e352bd123db999a40c0d1781a443964c502b90774a76a3a7758` Source locator `/data/17` |  |  |  |  |  |  |  |
| [Rapidata SVG generation — Overall preference](https://benchize.com/benchmarks/rapidata%3Asvg%3Aoverall.md) | 914.18elo | CI 902.93–925.42 | 26 / 37 | — | — | [rapidata · v1](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 914.1774626940947 \| elo \| overall \| Higher is better \| ### Configuration benchmarkId bmk_1MFkc3sXfbKCqf criterion overall participantId par_1SfXdIM0YCuNxN sourceModelVersion muse-spark-1.2 weighted false ### Reported statistics Uncertainty Confidence interval: 902.93–925.42 confidenceIntervalLowerOffset 11.243915311474893 confidenceIntervalUpperOffset 11.24391531147478 totalMatches 20549.135765862822 wins 9736.204869443702 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query) Source rapidata Original model label muse-spark-1.2 Source version v1 Observed 2026-10-21T16:37:39.078Z Evidence SHA-256 `4b73ff7e4ca0ecfd64f7888c2d64f3398a058c945c4644acd54eddb330e16d66` Source locator `/items/47` |  |  |  |  |  |  |  |
| [Vals Multimodal Index / terminal bench 2 1](https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Aterminal_bench_2_1.md) | 69.66% | SE ±0.65 pp | 12 / 20 | $0.5 | 879.27source 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` \| 69.663 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.499472 \| USD \| per_test \| Lower is better \| \| `latency` \| 879.273 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Meta reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.65 pp sourcePopulation 33 stderr 0.649 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/terminal_bench_2_1/meta~1muse_spark_1_2` |  |  |  |  |  |  |  |
| [DesignArena Agentic game development](https://benchize.com/benchmarks/designarena%3Aagentic-game-dev.md) | 1,179elo | SE ±14.4 | 12 / 17 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=agentic-game-dev) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1179 \| elo \| agentic-game-dev \| Higher is better \| ### Configuration arenaType agents category agentic_gamedev inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics Uncertainty Standard error: ±14.4 averageGenerationTimeMs Not reported battles 622 losses 358 standardError 14.4041 winRate 42.4 wins 264 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=agentic-game-dev) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:01.564Z Evidence SHA-256 `2bb291527289cec897df421c3c59427ce53230a312bf61790ba7ac6ca436bb4b` Source locator `/data/16` |  |  |  |  |  |  |  |
| [DesignArena Image to web application](https://benchize.com/benchmarks/designarena%3Aimage-to-webapp.md) | 1,245elo | SE ±10.5 | 8 / 24 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=image-to-webapp) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1245 \| elo \| image-to-webapp \| Higher is better \| ### Configuration arenaType agents category agon_webapps inputModality image sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics Uncertainty Standard error: ±10.5 averageGenerationTimeMs Not reported battles 1243 losses 534 standardError 10.497 winRate 57 wins 709 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=image-to-webapp) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:37:59.412Z Evidence SHA-256 `cc4e49fc057d3b786184ff44b697422e2420a174e8a98a80a77aa65021921ab4` Source locator `/data/8` |  |  |  |  |  |  |  |
| [DesignArena Full-stack application development](https://benchize.com/benchmarks/designarena%3Afullstack.md) | 1,210elo | SE ±8.46 | 14 / 31 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=fullstack) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1210 \| elo \| fullstack \| Higher is better \| ### Configuration arenaType agents category fullstack inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics Uncertainty Standard error: ±8.46 averageGenerationTimeMs Not reported battles 1907 losses 992 standardError 8.4638 winRate 48 wins 915 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=fullstack) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:00.857Z Evidence SHA-256 `aa171459dd44cfad57fba8da746c40b27832b57dc731b1198bdb71c73ddd0f97` Source locator `/data/18` |  |  |  |  |  |  |  |
| [DesignArena UI component generation](https://benchize.com/benchmarks/designarena%3Aui-components.md) | 1,301elo | — | 18 / 112 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ui-components) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1301 \| elo \| ui-components \| Higher is better \| ### Configuration arenaType models category uicomponent inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 171272 battles 1919 losses 921 standardError Not reported winRate 52 wins 998 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ui-components) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:37:57.993Z Evidence SHA-256 `46482ec1b4012638eace65493daea4750e2088098018fd9d5fc46126fc1f8557` Source locator `/data/22` |  |  |  |  |  |  |  |
| [OpenVibeEval Accessibility](https://benchize.com/benchmarks/openvibeeval%3Aaccessibility.md) | 65 | — | 23 / 26 | — | — | [openvibeeval](https://openvibeeval.com/leaderboard/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `adjusted_score` \| 65 \| score \| sample_size_adjusted_accessibility \| Higher is better \| ### Configuration Reasoning effort unknown Model configuration Muse Spark 1.2 thinkingEnabled Not reported ### Reported statistics runCount 8 ### Source [Original source](https://openvibeeval.com/leaderboard/) Source openvibeeval Original model label Muse Spark 1.2 Evaluated 2026-08-06 Observed 2026-10-21T16:32:04.885Z Evidence SHA-256 `9b2e7d6060910e3dc7083a6a7f67377601ce78806b2b6b7693cf8d047dd63fbb` Source locator `/rows/19` |  |  |  |  |  |  |  |
| [Vals Multimodal Index / vibe code bench](https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Avibe_code_bench.md) | 82.85% | SE ±4.14 pp | 6 / 20 | $1.53 | 1,195.22source 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` \| 82.854 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.529642 \| USD \| per_test \| Lower is better \| \| `latency` \| 1195.221 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Meta reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.14 pp sourcePopulation 33 stderr 4.137 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/vibe_code_bench/meta~1muse_spark_1_2` |  |  |  |  |  |  |  |
| [DesignArena ASCII art generation](https://benchize.com/benchmarks/designarena%3Aascii.md) | 1,282elo | — | 7 / 65 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=ascii) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1282 \| elo \| ascii \| Higher is better \| ### Configuration arenaType models category ascii inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 182202 battles 556 losses 245 standardError Not reported winRate 55.9 wins 311 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=ascii) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:03.513Z Evidence SHA-256 `0603b8c65b44ee887f5b566feb469465f59635137a6ac5c6d94c23bcf3776311` Source locator `/data/6` |  |  |  |  |  |  |  |
| [DesignArena Native Android development](https://benchize.com/benchmarks/designarena%3Aandroid.md) | 1,227elo | — | 7 / 23 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=android) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1227 \| elo \| android \| Higher is better \| ### Configuration arenaType agents category nativeapps inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs Not reported battles 844 losses 395 standardError Not reported winRate 53.2 wins 449 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=android) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:03.000Z Evidence SHA-256 `d9d0cd4bea54b696c28f907a98ba42ebf8dd4da9da201b6c70c95f76de35f525` Source locator `/data/9` |  |  |  |  |  |  |  |
| [DesignArena Video to website](https://benchize.com/benchmarks/designarena%3Avideo-to-website.md) | 1,234elo | — | 2 / 10 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=video-to-website) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1234 \| elo \| video-to-website \| Higher is better \| ### Configuration arenaType models category website inputModality video sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 186759 battles 1790 losses 754 standardError Not reported winRate 57.9 wins 1036 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=video-to-website) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:37:59.851Z Evidence SHA-256 `7497b4e107891bf38ad81750242b1b15b51d10f2bfc19781d85918d8f98cbbcb` Source locator `/data/2` |  |  |  |  |  |  |  |
| [Rapidata SVG generation — Alignment](https://benchize.com/benchmarks/rapidata%3Asvg%3Arlb_1MFkk9yZHssERh.md) | 875.02elo | CI 854.71–895.34 | 27 / 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` \| 875.0247774401718 \| elo \| rlb_1MFkk9yZHssERh \| Higher is better \| ### Configuration benchmarkId bmk_1MFkc3sXfbKCqf criterion rlb_1MFkk9yZHssERh participantId par_1SfXdIM0YCuNxN sourceModelVersion muse-spark-1.2 weighted false ### Reported statistics Uncertainty Confidence interval: 854.71–895.34 confidenceIntervalLowerOffset 20.311372354264222 confidenceIntervalUpperOffset 20.311372354264222 totalMatches 6805 wins 3144.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkk9yZHssERh) Source rapidata Original model label muse-spark-1.2 Source version v1 Observed 2026-10-21T16:37:40.342Z Evidence SHA-256 `2f5c8d08728735790b500d930d71b66f04253f1209f7c1c3da0db0846c163fcf` Source locator `/items/48` |  |  |  |  |  |  |  |
| [Vals Multimodal Index / corp fin v2](https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Acorp_fin_v2.md) | 72.73% | SE ±1.52 pp | 3 / 20 | $0.09 | 31.07source 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` \| 72.727 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.086787 \| USD \| per_test \| Lower is better \| \| `latency` \| 31.073 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Meta reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.52 pp sourcePopulation 33 stderr 1.52 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/corp_fin_v2/meta~1muse_spark_1_2` |  |  |  |  |  |  |  |
| [DesignArena 3D design generation](https://benchize.com/benchmarks/designarena%3A3d-design.md) | 1,302elo | — | 21 / 110 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=3d-design) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1302 \| elo \| 3d-design \| Higher is better \| ### Configuration arenaType models category 3d inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 188150 battles 6597 losses 3181 standardError Not reported winRate 51.8 wins 3416 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=3d-design) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:37:58.515Z Evidence SHA-256 `bcc0267f7bc7e9ec112306b3a35413cf78bbccbfaa838356232d5d5ed0b83d0f` Source locator `/data/25` |  |  |  |  |  |  |  |
| [Rapidata SVG generation — Coherence](https://benchize.com/benchmarks/rapidata%3Asvg%3Arlb_1MFkkBzpuU8fTG.md) | 1,010.81elo | CI 991.78–1,029.85 | 16 / 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` \| 1010.8119352938138 \| elo \| rlb_1MFkkBzpuU8fTG \| Higher is better \| ### Configuration benchmarkId bmk_1MFkc3sXfbKCqf criterion rlb_1MFkkBzpuU8fTG participantId par_1SfXdIM0YCuNxN sourceModelVersion muse-spark-1.2 weighted false ### Reported statistics Uncertainty Confidence interval: 991.78–1,029.85 confidenceIntervalLowerOffset 19.03589079063306 confidenceIntervalUpperOffset 19.035890790633175 totalMatches 6872 wins 3517 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1MFkc3sXfbKCqf/standings/query?leaderboard_id%5Beq%5D=rlb_1MFkkBzpuU8fTG) Source rapidata Original model label muse-spark-1.2 Source version v1 Observed 2026-10-21T16:37:39.715Z Evidence SHA-256 `aa3cb94ff16f544c58adeea35b9087d281c785058b8ce1ae0f98a7ff84920930` Source locator `/items/32` |  |  |  |  |  |  |  |
| [Vals Multimodal Index / overall](https://benchize.com/benchmarks/vals-ai%3Avals_multimodal_index%3Aoverall.md) | 69.8% | SE ±0.99 pp | 5 / 20 | $0.51 | 445.98source 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` \| 69.796 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.506189 \| USD \| per_test \| Lower is better \| \| `latency` \| 445.979 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens Not reported provider Meta reasoning Not reported Reasoning effort unknown Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±0.99 pp sourcePopulation 33 stderr 0.989 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_multimodal_index.virVpWMs.json) Source Vals AI Original model label meta/muse_spark_1_2 Source version 1.2 Observed 2026-10-21T16:45:51.881Z Evidence SHA-256 `077b22575f6e075b7b78157d000ec8f94d7ead409c7dcbcf04887630ed572a2d` Source locator `/tasks/overall/meta~1muse_spark_1_2` |  |  |  |  |  |  |  |
| [DesignArena Data visualization generation](https://benchize.com/benchmarks/designarena%3Adata-viz.md) | 1,334elo | — | 8 / 99 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=data-viz) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1334 \| elo \| data-viz \| Higher is better \| ### Configuration arenaType models category dataviz inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 156771 battles 1728 losses 732 standardError Not reported winRate 57.6 wins 996 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=data-viz) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:37:58.264Z Evidence SHA-256 `a895f6f1a25fa8eb01f821c2097ddec4f884de7bd22f1b8a22e82e6679b71849` Source locator `/data/9` |  |  |  |  |  |  |  |
| [DesignArena Website generation](https://benchize.com/benchmarks/designarena%3Awebsite.md) | 1,313elo | — | 11 / 123 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=website) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1313 \| elo \| website \| Higher is better \| ### Configuration arenaType models category website inputModality text sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 162513 battles 31770 losses 15210 standardError Not reported winRate 52.1 wins 16560 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=website) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:37:57.757Z Evidence SHA-256 `51873e97776a3c5ae706b24cc2c60384793dd18398df970e213a8e7c276d8ac0` Source locator `/data/12` |  |  |  |  |  |  |  |
| [DesignArena Mobile application development](https://benchize.com/benchmarks/designarena%3Amobileapps.md) | 1,181elo | SE ±9.99 | 19 / 33 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=mobileapps) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1181 \| elo \| mobileapps \| Higher is better \| ### Configuration arenaType agents category mobileapps inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics Uncertainty Standard error: ±9.99 averageGenerationTimeMs Not reported battles 1305 losses 683 standardError 9.9855 winRate 47.7 wins 622 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=mobileapps) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:02.538Z Evidence SHA-256 `40af33d0e93e729486da375cbe954633e2458af0dd6ca6d9fbdcda90da650f7d` Source locator `/data/24` |  |  |  |  |  |  |  |
| [DesignArena Browser game generation](https://benchize.com/benchmarks/designarena%3Agame-dev.md) | 1,301elo | — | 22 / 117 | — | — | [designarena · public](https://www.designarena.ai/api/leaderboard#board=game-dev) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1301 \| elo \| game-dev \| Higher is better \| ### Configuration arenaType models category gamedev inputModality Not reported sourceModelVersion muse-spark-1.2 variationName public ### Reported statistics averageGenerationTimeMs 208606 battles 12879 losses 6382 standardError Not reported winRate 50.5 wins 6497 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=game-dev) Source designarena Original model label Muse Spark 1.2 Source version public Observed 2026-10-21T16:38:01.100Z Evidence SHA-256 `53db6a89112ce8cdf644568c666d4b8309aece764cfcedb291ffd52ae3934e30` Source locator `/data/26` |  |  |  |  |  |  |  |
| [FrontierSWE v2 abs](https://benchize.com/benchmarks/frontierswe%3Av2%3Aabs.md) | 11.97source score | — | 15 / 15 | — | — | [frontierswe](https://www.frontierswe.com/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `overall` \| 11.970256470588238 \| source_score \| mean \| Higher is better \| \| `overall_best` \| 18.359058823529413 \| source_score \| best \| Higher is better \| \| `overall_worst` \| 6.8378176470588246 \| source_score \| worst \| Higher is better \| \| `implementation` \| 2.6506914285714287 \| source_score \| mean \| Higher is better \| \| `performance` \| 11.448236666666668 \| source_score \| mean \| Higher is better \| \| `research` \| 14.676828571428574 \| source_score \| mean \| Higher is better \| ### Configuration aggregation mean harness proximus normalization abs Reasoning effort unknown ### Source [Original source](https://www.frontierswe.com/) Source frontierswe Original model label Muse Spark 1.2 Observed 2026-10-21T16:31:27.602Z Evidence SHA-256 `818e027068cf61ff1aadd8281b6e49e9c6795221015210601b5e34d0d223e5b5` Source locator `/rows/19` |  |  |  |  |  |  |  |

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Cite as: Muse Spark 1.2 — Benchize, https://benchize.com/models/muse-spark-1-2 (retrieved 2026-10-21)