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。

Gemma 4 31B
DeepMind
Each axis is a category average, normalized to a 100-point radar.
Relative edge: none clear / Relative gap: 综合评估 -5.2
Relative edge: 综合评估 +5.2 / Relative gap: none clear
Method: for each model and benchmark, the chart first averages all scores in the current mode scope instead of taking the best score, then averages those benchmark scores within each category. Only benchmarks with at least two selected models scored are included; missing values are not counted as zero.
Best overall
Qwen3.5-27B · 75.96
Best single
Qwen3.5-27B · MMLU Pro 86.10
Modality coverage
Gemma 4 31B · 3 modalities
Head to head
5
Benchmarks
0
Wins
5
Losses
-5.38
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.
5 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Gemma 4 31B | Qwen3.5-27B |
|---|---|---|
GPQA Diamond 综合评估 | 84.30Thinking Enabled | 85.50Thinking Enabled |
HLE 综合评估 | 26.50Thinking Enabled | Tools | 48.50Thinking Enabled | Tools |
MMLU Pro 综合评估 | 85.20Thinking Enabled | 86.10Thinking Enabled |
LiveCodeBench 编程与软件工程 | 80.00Thinking Enabled | 80.70Thinking Enabled | Tools |
τ²-Bench Agent能力评测 | 76.90Thinking Enabled | Tools | 79.00Thinking Enabled | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Gemma 4 31BDeepMind | Qwen3.5-27B阿里巴巴 |
|---|---|---|
Core specsRelease | 2026-04-02 | 2026-02-25 |
Context length | 256K | 1010K |
Parameters | 31 | 270 |
Active parameters | 31 | 270 |
Max output | 32768 | 248320 |
MoE | No | No |
Supported modes | No mode data | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode) |
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 |
Image Input/Output | / | Not provided |
Video Input/Output | / | Not provided |
ResourcesPaper / report | Gemma 4: Byte for byte, the most capable open models | Qwen3.5: Towards Native Multimodal Agents |
DataLearner blog | Google Gemma 4 正式开源:Apache 2.0 协议、手机端可运行、原生支持多模态和 Agent 工作流 | Not provided |

Qwen3.5-27B
阿里巴巴