See key specs and per-benchmark scores for each model/mode. Scroll horizontally for all columns. 当前对比 2 个模型的评测数据与核心参数。
Qwen3.6-27B
阿里巴巴
Best overall
Qwen3.6-27B · 87.70
Best single
Qwen3.6-27B · C-Eval 91.40
Modality coverage
Qwen3-32B · 1 modalities
Head to head
3
Benchmarks
3
Wins
0
Losses
+13.90
Average diff
Compare benchmark results across thinking modes and tool usage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Complete scores for each model/mode across selected benchmarks.
3 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Qwen3.6-27B | Qwen3-32B |
|---|---|---|
C-Eval 综合评估 | 91.40Thinking Enabled | 87.30Thinking Enabled |
GPQA Diamond 综合评估 | 87.80Thinking Enabled | 68.40Thinking Enabled |
LiveCodeBench 编程与软件工程 | 83.90Thinking Enabled | 65.70Thinking Enabled |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Qwen3.6-27B阿里巴巴 | Qwen3-32B阿里巴巴 |
|---|---|---|
Core specsRelease | 2026-04-22 | 2025-04-28 |
Context length | 128K | 128K |
Parameters | 270 | 320 |
Active parameters | 270 | 320 |
Max output | 16384 | 16384 |
MoE | No | No |
LicenseCode Open Source | Not provided | Not provided |
Weights Open Source | Not provided | Not provided |
Commercial use | 免费商用授权 | 免费商用授权 |
Modality supportText Input/Output | Not provided | / |
ResourcesPaper / report | Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model | Qwen3: Think Deeper, Act Faster |
DataLearner blog | 阿里正式开源Qwen3.6-27B：代码智能体能力上超越全面超越前代旗舰版本之 Qwen3.5-397B-A17B | 重磅！阿里开源第三代千问大模型：Qwen3系列，最小仅6亿参数规模，最大2350亿参数规模大模型！ |
Qwen3-32B
阿里巴巴
