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: AI Agent - 信息收集 +78.1 / Relative gap: 多模态理解 -1.5
Relative edge: 多模态理解 +1.5 / Relative gap: AI Agent - 信息收集 -78.1
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 · 62.26
Best single
Gemini 3.1 Pro Preview · GPQA Diamond 94.30
Modality coverage
Gemini 2.5-Pro · 2 modalities
Head to head
7
Benchmarks
6
Wins
1
Losses
+31.43
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 3.1 Pro Preview | Gemini 2.5-Pro |
|---|---|---|
ARC-AGI-2 综合评估 | 77.10Thinking Level · High | 4.90Thinking Enabled |
GPQA Diamond 综合评估 | 94.30Thinking Level · High | 86.40Thinking Enabled |
HLE 综合评估 | 44.40Thinking Level · High | 21.60Thinking Enabled |
MMMU 多模态理解 | 80.50Thinking Level · High | 82.00Thinking Enabled |
FrontierMath 数学推理 | 36.90Thinking Level · High | 11.00Standard Mode |
16.70Standard Mode | 2.10Standard Mode | |
BrowseComp AI Agent - 信息收集 | 85.90Thinking Level · High | Tools | 7.80Thinking 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 | Gemini 2.5-ProGoogle Deep Mind |
|---|---|---|
Core specsRelease | 2026-02-20 | 2025-06-05 |
Context length | 1M | 1000K |
Max output | 32768 | 65536 |
MoE | No | No |
Supported modes | No mode data | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode)深度思考(Deeper Thinking Mode) |
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 | Not provided | / |
Image Input/Output | Not provided | / |
ResourcesPaper / report | Gemini 3.1 Pro: A smarter model for your most complex tasks | Try the latest Gemini 2.5 Pro before general availability. |
DataLearner blog | Not provided | Google发布Gemini 2.5 Pro: Gemini系列第一个2.5版本的模型,最高支持200万上下文,全模态输入,推理大模型,LMArena排名第一 |

Gemini 2.5-Pro
Google Deep Mind