# Qwen3.6 27B

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Alibaba

Canonical URL: https://benchize.com/models/qwen3-6-27b
Last updated: Thu, 22 Oct 2026 06:30:09 GMT

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Alibaba

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Source |  |
| --- | --- | --- | --- | --- | --- | --- |
| [FrontierMath Tiers 1–3 v2 (private)](https://benchize.com/benchmarks/epoch-ai%3Afrontiermath_tiers_1_3_v2.md) | 35.09% | SE ±2.83 pp | 33 / 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` \| 0.3508771929824561 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.3508771929824561 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion FrontierMath-Tiers-1-3-v2-Private reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3.6-27b ### Reported statistics Uncertainty Standard error: ±2.83 pp standardError 0.028319255656547093 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=frontiermath_tiers_1_3_v2.csv) Source epoch ai Original model label qwen3.6-27b Source version FrontierMath-Tiers-1-3-v2-Private Evaluated 2026-08-28T12:30:22.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `d3458d4272f99e04212525904a59fffffa7a94e827c62b26e36e3fd3e15fe587` Source locator `/rows/39` |  |  |  |  |  |  |
| [SWE-rebench](https://benchize.com/benchmarks/swe-rebench%3Aresolved.md) | 31.2% | — | 6 / 8 | $0.62 | [swe rebench](https://swe-rebench.com/) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `resolved` \| 31.2 \| percent \| reported \| Higher is better \| \| `pass_at_5` \| 57.7 \| percent \| reported \| Higher is better \| \| `cost_per_problem` \| 0.62 \| USD \| per_problem \| Lower is better \| ### Configuration Reasoning effort unknown Model configuration Qwen3.6-27B submissionType model thinkingEnabled Not reported ### Source [Original source](https://swe-rebench.com/) Source swe rebench Original model label Qwen3.6-27B Observed 2026-10-22T06:00:03.589Z Evidence SHA-256 `fbb1b659562843da266aa20ec2295253d727ccd9b9469c78ab32df6fad1fffed` Source locator `/rows/14` |  |  |  |  |  |  |
| [EQ-Bench 4](https://benchize.com/benchmarks/eq-bench%3Aeqbench4.md) | 1,025.5elo | CI 1,005.8–1,046.3 | 25 / 26 | — | [eq bench · eqbench4](https://eqbench.com/eqbench4/eqbench4_data.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1025.5 \| elo \| overall \| Higher is better \| ### Configuration protocol eqbench4 ### Reported statistics Uncertainty Confidence interval: 1,005.8–1,046.3 confidenceIntervalHigh 1046.3 confidenceIntervalLow 1005.8 scenarios 120 ### Source [Original source](https://eqbench.com/eqbench4/eqbench4_data.js) Source eq bench Original model label qwen3.6-27b Source version eqbench4 Observed 2026-10-22T05:10:04.699Z Evidence SHA-256 `188d8ea4a393978063a6c24dff6c92ce185169827038bfa558091212a68c29d8` Source locator `/models/26` |  |  |  |  |  |  |
| [LiveBench](https://benchize.com/benchmarks/livebench%3Atasks.md) | 93% | — | 8 / 10 | — | [LiveBench](https://api.github.com/repos/LiveBench/livebench.github.io/contents/public/table_2026_06_25.csv?ref=19e766a5de4de07d672ed5bf9f0a69ceed1d39bf) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `AMPS_Hard` \| 93 \| percent \| reported \| Higher is better \| \| `code_completion` \| 71.739 \| percent \| reported \| Higher is better \| \| `code_generation` \| 71.831 \| percent \| reported \| Higher is better \| \| `connections` \| 77.167 \| percent \| reported \| Higher is better \| \| `consecutive_events` \| 70.395 \| percent \| reported \| Higher is better \| \| `integrals_with_game` \| 52 \| percent \| reported \| Higher is better \| \| `javascript` \| 54.545 \| percent \| reported \| Higher is better \| \| `logic_with_navigation` \| 62 \| percent \| reported \| Higher is better \| \| `math_comp` \| 92.157 \| percent \| reported \| Higher is better \| \| `olympiad` \| 82.317 \| percent \| reported \| Higher is better \| \| `paraphrase` \| 49.433 \| percent \| reported \| Higher is better \| \| `plot_unscrambling` \| 42.746 \| percent \| reported \| Higher is better \| \| `python` \| 40 \| percent \| reported \| Higher is better \| \| `simplify` \| 50.733 \| percent \| reported \| Higher is better \| \| `spatial` \| 100 \| percent \| reported \| Higher is better \| \| `story_generation` \| 60.133 \| percent \| reported \| Higher is better \| \| `summarize` \| 52.617 \| percent \| reported \| Higher is better \| \| `tablejoin` \| 42.846 \| percent \| reported \| Higher is better \| \| `tablereformat` \| 98.039 \| percent \| reported \| Higher is better \| \| `theory_of_mind` \| 65.385 \| percent \| reported \| Higher is better \| \| `typescript` \| 23.333 \| percent \| reported \| Higher is better \| \| `typos` \| 70 \| percent \| reported \| Higher is better \| \| `zebra_puzzle` \| 53.75 \| percent \| reported \| Higher is better \| ### Configuration Model configuration qwen3.6-27b sourceRelease 2026_06_25 ### Source [Original source](https://api.github.com/repos/LiveBench/livebench.github.io/contents/public/table_2026_06_25.csv?ref=19e766a5de4de07d672ed5bf9f0a69ceed1d39bf) Source LiveBench Original model label qwen3.6-27b Observed 2026-10-21T16:40:05.068Z Evidence SHA-256 `f0330164423abf9803631fc5b2f2b5427f17c0161c12e15021bb0f9781d2afa8` Source locator `/rows/25` |  |  |  |  |  |  |
| [Judgemark v4](https://benchize.com/benchmarks/eq-bench%3Ajudgemark-v4.md) | 53.37% | CI 51.28–59.34% | 22 / 38 | — | [eq bench · judgemark-v4](https://eqbench.com/judgemark-v4.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.533686 \| score_fraction \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol judgemark-v4 sourceModelVersion Qwen/Qwen3.6-27B ### Reported statistics Uncertainty Confidence interval: 51.28–59.34% confidenceIntervalHigh 0.593391 confidenceIntervalLow 0.512794 ### Source [Original source](https://eqbench.com/judgemark-v4.js) Source eq bench Original model label Qwen/Qwen3.6-27B Source version judgemark-v4 Observed 2026-10-22T05:10:06.884Z Evidence SHA-256 `2b0d42aef4f614dd199dc38399be7b88075a919db52020c3759f190defc92a4d` Source locator `/leaderboardDataJudgemarkV4/23` |  |  |  |  |  |  |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 85.86% | SE ±2.48 pp | 46 / 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` \| 0.8585858585858586 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.8585858585858586 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3.6-27b ### Reported statistics Uncertainty Standard error: ±2.48 pp standardError 0.024825909793343353 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label qwen3.6-27b Source version GPQA diamond Evaluated 2026-08-07T00:24:27.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/87` |  |  |  |  |  |  |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 91.11% | SE ±4.29 pp | 41 / 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` \| 0.9111111111111111 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.9111111111111111 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3.6-27b ### Reported statistics Uncertainty Standard error: ±4.29 pp standardError 0.04290254662948546 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label qwen3.6-27b Source version OTIS Mock AIME 2024-2025 Evaluated 2026-08-07T00:12:36.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/96` |  |  |  |  |  |  |

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Cite as: Qwen3.6 27B — Benchize, https://benchize.com/models/qwen3-6-27b (retrieved 2026-10-22)