Codesota · Models · Qwen3.6-27B11 results · 11 benchmarks
Model card
Qwen3.6-27B.
unknown
§ 02 · Benchmarks
Every benchmark Qwen3.6-27B has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Video-MME | Multimodal · Video Understanding | accuracy | 87.7% | #1 | — | source ↗ |
| 02 | MMMU | Multimodal · Image-Text-to-Text | accuracy | 82.9% | #3 | — | source ↗ |
| 03 | RealWorldQA | Multimodal · Visual Question Answering | accuracy | 84.1% | #3 | — | source ↗ |
| 04 | MMStar | Multimodal · Image-Text-to-Text | accuracy | 81.4% | #4 | — | source ↗ |
| 05 | MVBench | Multimodal · Video Understanding | accuracy | 75.5% | #5 | — | source ↗ |
| 06 | LiveCodeBench | Computer Code · Code Generation | pass-1 | 83.9% | #6 | — | source ↗ |
| 07 | SWE-Bench Verified | Computer Code · Code Generation | accuracy | 77.2% | #7 | — | source ↗ |
| 08 | MMMU-Pro | Multimodal · Visual Question Answering | accuracy | 75.8% | #10 | — | source ↗ |
| 09 | GPQA Diamond | Reasoning · Multi-step Reasoning | accuracy | 87.8% | #11 | — | source ↗ |
| 10 | MMLU-Pro | Reasoning · Commonsense Reasoning | accuracy | 86.2% | #11 | — | source ↗ |
| 11 | HLE | Reasoning · Multi-step Reasoning | accuracy | 24.0% | #17 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where Qwen3.6-27B actually performs.
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
11
results
0 of 11 rows marked verified.