# Qwen3 30B A3B Thinking 2507

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Alibaba

Canonical URL: https://benchize.com/models/qwen3-30b-a3b-thinking-2507
Last updated: Thu, 22 Oct 2026 06:30:09 GMT

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Alibaba

## Benchmarks

| Benchmark | Score | ± | Rank | Source |  |
| --- | --- | --- | --- | --- | --- |
| [DesignArena Website generation](https://benchize.com/benchmarks/designarena%3Awebsite.md) | 930elo | — | 116 / 123 | [designarena · public](https://www.designarena.ai/api/leaderboard#board=website) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 930 \| elo \| website \| Higher is better \| ### Configuration arenaType models category website inputModality text sourceModelVersion qwen3-30b-a3b-thinking-2507 variationName public ### Reported statistics averageGenerationTimeMs 41274 battles 516 losses 333 standardError Not reported winRate 35.5 wins 183 ### Source [Original source](https://www.designarena.ai/api/leaderboard#board=website) Source designarena Original model label Qwen3 30B-A3B Thinking 2507 Source version public Observed 2026-10-21T16:37:57.757Z Evidence SHA-256 `51873e97776a3c5ae706b24cc2c60384793dd18398df970e213a8e7c276d8ac0` Source locator `/data/181` |  |  |  |  |  |
| [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,291 | — | 141 / 191 | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1291 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_qwen_qwen3_30b_a3b_thinking_2507 ### Reported statistics coverageCount 27 draws 0 judged 26 losses 18 rank 225 ratingDeviation 28 wins 8 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label Qwen3 30B A3B Thinking 2507 Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/214` |  |  |  |  |  |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 70.28% | SE ±6.04 pp | 72 / 124 | [epoch ai · OTIS Mock AIME 2024-2025](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.7027777777777777 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.7027777777777777 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3-30b-a3b-thinking-2507 ### Reported statistics Uncertainty Standard error: ±6.04 pp standardError 0.060418480757624834 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label qwen3-30b-a3b-thinking-2507 Source version OTIS Mock AIME 2024-2025 Evaluated 2026-08-30T22:44:45.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/24` |  |  |  |  |  |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 70.08% | SE ±2.83 pp | 89 / 126 | [epoch ai · GPQA diamond](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.7007575757575758 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.7007575757575758 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3-30b-a3b-thinking-2507 ### Reported statistics Uncertainty Standard error: ±2.83 pp standardError 0.028327897613545493 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label qwen3-30b-a3b-thinking-2507 Source version GPQA diamond Evaluated 2026-08-30T22:44:24.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/17` |  |  |  |  |  |

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Cite as: Qwen3 30B A3B Thinking 2507 — Benchize, https://benchize.com/models/qwen3-30b-a3b-thinking-2507 (retrieved 2026-10-22)