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 3.1 Pro Preview
Google Deep Mind
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 综合评估 +13.6 / Relative gap: none clear
Relative edge: none clear / Relative gap: 综合评估 -13.6
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 3.1 Pro Preview · 67.00
Best single
Gemini 3.1 Pro Preview · τ²-Bench - Telecom 99.30
Modality coverage
Gemini 3.1 Pro Preview · 4 modalities
Head to head
9
Benchmarks
7
Wins
2
Losses
+6.27
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.
9 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Gemini 3.1 Pro Preview | Muse Spark |
|---|---|---|
ARC-AGI-2 综合评估 | 77.10Thinking Level · High | 42.50Thinking Enabled |
GPQA Diamond 综合评估 | 94.30Thinking Level · High | 89.50Thinking Enabled |
HLE 综合评估 | 51.40Thinking Level · High ｜ Tools | 50.40Thinking Enabled ｜ Tools |
SWE-bench Verified 编程与软件工程 | 80.60Thinking Level · High ｜ Tools | 77.40Thinking Enabled ｜ Tools |
τ²-Bench - Telecom Agent能力评测 | 99.30Thinking Level · High ｜ Tools | 92.00Thinking Enabled ｜ Tools |
FrontierMath 数学推理 | 36.90Thinking Level · High | 39.00Thinking Enabled |
16.70Standard Mode | 14.60Standard Mode | |
MCP-Atlas AI Agent - 工具使用 | 78.20Thinking Level · High ｜ Tools | 82.20Standard Mode ｜ Tools |
Terminal Bench 2.0 AI Agent - 工具使用 | 68.50Thinking Level · High ｜ Tools | 59.00Thinking Enabled ｜ Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Gemini 3.1 Pro PreviewGoogle Deep Mind | Muse SparkFacebook AI研究实验室 |
|---|---|---|
Core specsRelease | 2026-02-20 | 2026-04-08 |
Context length | 1M | 262K |
Max output | 65536 | Not provided |
MoE | No | No |
LicenseCode Open Source | Not provided | Not provided |
Weights Open Source | Not provided | Not provided |
Commercial use | 不开源 | 不开源 |
Modality supportText Input/Output | / | / |
Image Input/Output | / | / |
Audio Input/Output | / | / |
Video Input/Output | / | / |
ResourcesPaper / report | Gemini 3.1 Pro: A smarter model for your most complex tasks | Introducing Muse Spark: Scaling Towards Personal Superintelligence |
Muse Spark
Facebook AI研究实验室
