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 26B A4B
DeepMind

Qwen3.6-35B-A3B
阿里巴巴
Each axis is a category average, normalized to a 100-point radar.
Relative edge: none clear / Relative gap: 综合评估 -5.5
Relative edge: 综合评估 +5.5 / 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
Qwen3.6-35B-A3B · 69.92
Best single
Qwen3.6-35B-A3B · AIME 2026 92.70
Modality coverage
Qwen3.6-35B-A3B · 3 modalities
Head to head
4
Benchmarks
0
Wins
4
Losses
-3.63
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.
4 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Gemma 4 26B A4B | Qwen3.6-35B-A3B |
|---|---|---|
HLE 综合评估 | 17.20Thinking Enabled | Tools | 21.40Thinking Enabled |
MMLU Pro 综合评估 | 82.60Thinking Enabled | 85.20Thinking Enabled |
LiveCodeBench 编程与软件工程 | 77.10Thinking Enabled | 80.40Thinking Enabled |
AIME 2026 数学推理 | 88.30Thinking Enabled | 92.70Thinking Enabled |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Gemma 4 26B A4BDeepMind | Qwen3.6-35B-A3B阿里巴巴 |
|---|---|---|
Core specsRelease | 2026-04-02 | 2026-04-16 |
Context length | 256K | 200K |
Parameters | 25.2B | 35B |
Active parameters | 3.8B | 3B |
Max output | 32768 | 80000 |
MoE | Yes | Yes |
Supported modes | No mode data | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode) |
LicenseCode Open Source | Open Source · Apache 2.0 | Open Source · Apache 2.0 |
Weights Open Source | Open Source · Apache 2.0 | Open Source · Apache 2.0 |
Commercial use | 免费商用授权 | 免费商用授权 |
Local deploymentWeights | Hugging Face | Hugging Face |
Source repo | Not provided | GitHub |
Modality supportText Input/Output | / | / |
Image Input/Output | / | / |
Video Input/Output | Not provided | / |
ResourcesPaper / report | Gemma 4 Model Card | Qwen3.6-35B-A3B:智能体编程利器,现已开源 |
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 |