# Qwen3.6 35B A3B

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Alibaba

Canonical URL: https://benchize.com/models/qwen3-6-35b-a3b
Last updated: Thu, 22 Oct 2026 04:30:12 GMT

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Alibaba

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [Judgemark v4](https://benchize.com/benchmarks/eq-bench%3Ajudgemark-v4.md) | 32.65% | CI 30.53–40.36% | 31 / 38 | — | [eq bench · judgemark-v4](https://eqbench.com/judgemark-v4.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.326547 \| score_fraction \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol judgemark-v4 sourceModelVersion Qwen/Qwen3.6-35B-A3B ### Reported statistics Uncertainty Confidence interval: 30.53–40.36% confidenceIntervalHigh 0.403566 confidenceIntervalLow 0.305251 ### Source [Original source](https://eqbench.com/judgemark-v4.js) Source eq bench Original model label Qwen/Qwen3.6-35B-A3B Source version judgemark-v4 Observed 2026-10-21T16:35:03.901Z Evidence SHA-256 `2b0d42aef4f614dd199dc38399be7b88075a919db52020c3759f190defc92a4d` Source locator `/leaderboardDataJudgemarkV4/33` |  |  |  |  |  |  |
| [FrontierMath Tiers 1–3 v2 (private)](https://benchize.com/benchmarks/epoch-ai%3Afrontiermath_tiers_1_3_v2.md) | 17.54% | SE ±2.26 pp | 47 / 50 | — | [epoch ai · FrontierMath-Tiers-1-3-v2-Private](https://epoch.ai/data/benchmark_data.zip#file=frontiermath_tiers_1_3_v2.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.17543859649122806 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.17543859649122806 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion FrontierMath-Tiers-1-3-v2-Private reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3.6-35b-a3b ### Reported statistics Uncertainty Standard error: ±2.26 pp standardError 0.022569134425265196 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=frontiermath_tiers_1_3_v2.csv) Source epoch ai Original model label qwen3.6-35b-a3b Source version FrontierMath-Tiers-1-3-v2-Private Evaluated 2026-08-29T11:06:39.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `d3458d4272f99e04212525904a59fffffa7a94e827c62b26e36e3fd3e15fe587` Source locator `/rows/35` |  |  |  |  |  |  |
| [SWE-rebench](https://benchize.com/benchmarks/swe-rebench%3Aresolved.md) | 24.7% | — | 7 / 8 | $0.27 | [swe rebench](https://swe-rebench.com/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `resolved` \| 24.7 \| percent \| reported \| Higher is better \| \| `pass_at_5` \| 43.2 \| percent \| reported \| Higher is better \| \| `cost_per_problem` \| 0.27 \| USD \| per_problem \| Lower is better \| ### Configuration Reasoning effort unknown Model configuration Qwen3.6-35B-A3B submissionType model thinkingEnabled Not reported ### Source [Original source](https://swe-rebench.com/) Source swe rebench Original model label Qwen3.6-35B-A3B Observed 2026-10-21T16:32:30.269Z Evidence SHA-256 `fbb1b659562843da266aa20ec2295253d727ccd9b9469c78ab32df6fad1fffed` Source locator `/rows/15` |  |  |  |  |  |  |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 83.84% | SE ±2.62 pp | 56 / 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` \| 0.8383838383838383 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.8383838383838383 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3.6-35b-a3b ### Reported statistics Uncertainty Standard error: ±2.62 pp standardError 0.02622591986362927 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label qwen3.6-35b-a3b Source version GPQA diamond Evaluated 2026-08-07T00:12:45.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/93` |  |  |  |  |  |  |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 86.67% | SE ±5.12 pp | 50 / 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` \| 0.8666666666666667 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.8666666666666667 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3.6-35b-a3b ### Reported statistics Uncertainty Standard error: ±5.12 pp standardError 0.051247074319053836 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label qwen3.6-35b-a3b Source version OTIS Mock AIME 2024-2025 Evaluated 2026-08-07T00:03:16.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/103` |  |  |  |  |  |  |

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Cite as: Qwen3.6 35B A3B — Benchize, https://benchize.com/models/qwen3-6-35b-a3b (retrieved 2026-10-22)