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。
Gemini 3.0 Flash
Google Deep Mind
Each axis is a category average, normalized to a 100-point radar.
Relative edge: OpenClaw智能体能力综合测评 +13.3 / Relative gap: AI Agent - 工具使用 -11.7
Relative edge: AI Agent - 工具使用 +11.7 / Relative gap: OpenClaw智能体能力综合测评 -13.3
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
Gemini 3.0 Flash · 65.41
Best single
Gemini 3.0 Flash · GPQA Diamond 90.40
Modality coverage
Gemini 3.0 Flash · 4 modalities
Head to head
7
Benchmarks
4
Wins
3
Losses
+2.59
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.
7 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Gemini 3.0 Flash | Qwen3.6-27B |
|---|---|---|
GPQA Diamond 综合评估 | 90.40Thinking Enabled | 87.80Thinking Enabled |
HLE 综合评估 | 43.50Thinking Enabled ｜ Tools | 24.00Thinking Enabled |
LiveBench 综合评估 | 72.40Thinking Level · High | 65.56Standard Mode |
SWE-Bench Pro - Public 编程与软件工程 | 49.60Thinking Level · High ｜ Tools | 53.50Thinking Enabled ｜ Tools |
SWE-bench Verified 编程与软件工程 | 68.70Thinking Enabled | 77.20Thinking Enabled ｜ Tools |
Terminal Bench 2.0 AI Agent - 工具使用 | 47.60Thinking Enabled ｜ Tools | 59.30Thinking Enabled ｜ Tools |
Claw Bench OpenClaw智能体能力综合测评 | 85.70Thinking Enabled ｜ Tools | 72.40Thinking Enabled ｜ Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Gemini 3.0 FlashGoogle Deep Mind | Qwen3.6-27B阿里巴巴 |
|---|---|---|
Core specsRelease | 2025-12-17 | 2026-04-22 |
Context length | 2000K | 128K |
Parameters | — | 270 |
Active parameters | Not provided | 270 |
Max output | 65536 | 16384 |
MoE | No | No |
Supported modes | 常规模式（Non-Thinking Mode）思考模式（Thinking Mode）深度思考（Deeper Thinking Mode） | No mode data |
LicenseCode Open Source | Not provided | Not provided |
Weights Open Source | Not provided | Not provided |
Commercial use | 不开源 | 免费商用授权 |
Modality supportText Input/Output | / | / |
Image Input/Output | / | / |
Audio Input/Output | / | Not provided |
Video Input/Output | / | / |
ResourcesPaper / report | Gemini 3 Flash: frontier intelligence built for speed | Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Model |
DataLearner blog | Gemini 3 Flash：Google 在 12 月 17 日发布的新一代默认模型 | 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 |
Qwen3.6-27B
阿里巴巴
