Gemini 3.1 Pro Preview leads on the shared-benchmark average
Ahead on 3 of 5 shared benchmarks, averaging 2.0 points higher
Summarised only from the 5 percentage-scale benchmarks scored by every selected model; details are below. A further 3 historical, reverse-direction or differently scaled metrics are excluded; indexes, cost and time are not added to accuracy percentages.
“Best available” takes each model’s best recorded non-parallel result in the metric’s stated direction per benchmark, so it may combine modes into a virtual configuration that does not exist. Read it with the mode breakdown.

Gemini 3.1 Pro Preview
Google Deep Mind

Claude Opus 4.6
Anthropic
Benchmark-by-benchmark comparison. Changing the thinking mode or tool filters updates the chart and table below.
“Best available” picks the best non-parallel result in the metric’s stated direction separately for each benchmark. The resulting series can combine several reasoning levels and is not one reproducible runtime configuration. Choose a mode filter to compare like-for-like runs.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Each axis is the mean percentage score of one benchmark domain. It is an average, not a capability rating.
Relative edge: 综合评估 +7.3 / Relative gap: 数学推理 -3.4
Relative edge: 数学推理 +3.4 / Relative gap: 综合评估 -7.3
Method: for each model and benchmark, all scores in the current mode scope are averaged (not the best score), then those benchmark scores are averaged within each domain. Only benchmarks scored on a 0-100 scale by at least two of the selected models count — Elo and rating-scale benchmarks such as Codeforces or Arena are excluded, because averaging a 1500 rating with an 85% accuracy produces a meaningless number. Missing values are not counted as zero, and the averages are unweighted, so domains with harder benchmarks read lower.
Every model and runtime mode, benchmark by benchmark. Values are comparable along a row, not between different benchmarks.
30 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Gemini 3.1 Pro Preview | Claude Opus 4.6 |
|---|---|---|
77.10Thinking Level · High | 66.30Extended Thinking | |
17.70Thinking Enabled | 12.60Thinking Level · High | |
51.40Thinking Level · High | Tools | 53.00Extended Thinking | Tools | |
77.13Thinking Level · High | 74.52Thinking Level · High | |
92.60Thinking Level · High | 91.05Extended Thinking | |
94.30Thinking Level · High | 91.31Extended Thinking | |
22.55Standard Mode | Tools | 41.20Thinking Level · High | Tools | |
91.70Thinking Level · High | Tools | 76.00Extended Thinking | |
32.20Thinking Enabled | Tools | 47.10Thinking Enabled | Tools | |
80.60Thinking Level · High | Tools | 80.84Extended Thinking | Tools | |
1461.49Standard Mode | 1555.35Standard Mode | |
72.10Standard Mode | Tools | 77.95Thinking Level · High | Tools | |
1488.90Standard Mode | 1804.10Standard Mode | |
80.50Thinking Level · High | 77.30Extended Thinking | Tools | |
82.40Thinking Enabled | 77.30Thinking Enabled | Tools | |
79.60Standard Mode | 67.60Standard Mode | |
53.80Thinking Enabled | Tools | 48.50Standard Mode | Tools | |
90.80Thinking Level · High | Tools | 91.89Extended Thinking | Tools | |
99.30Thinking Level · High | Tools | 99.25Extended Thinking | Tools | |
26.03Thinking Level · High | Tools | 27.32Thinking Level · High | Tools | |
36.90Thinking Level · High | 40.70Thinking Level · High | |
16.70Standard Mode | 22.90Thinking Level · High | |
77.10Thinking Enabled | 94.00Extended Thinking | |
85.90Thinking Level · High | Tools | 84.00Thinking Enabled | Tools | |
78.20Thinking Level · High | Tools | 76.80Thinking Level · High | Tools | |
76.20Thinking Enabled | Tools | 72.70Extended Thinking | Tools | |
68.50Thinking Level · High | Tools | 65.40Extended Thinking | Tools | |
84.73Thinking Level · High | 85.19Thinking Level · Medium | |
86.70Thinking Enabled | Tools | 87.40Thinking Enabled | Tools | |
81.01Thinking Level · High | 69.90Thinking Level · High |
Official list prices per model API, split by input and output. Unit: USD per 1M tokens.
Architecture, licensing and API modalities. "Not provided" means the field is missing from our database.
| Features & specs | Gemini 3.1 Pro PreviewGoogle Deep Mind | Claude Opus 4.6Anthropic |
|---|---|---|
Core specsRelease | 2026-02-20 | 2026-02-05 |
Context length | 1M | 1000K |
Max output length | 65,536 tokens | 65,536 tokens |
Architecture | Undisclosed | Undisclosed |
Runtime modes | 低高 | 关闭低中高扩展 |
Availability & licensingCode availability | Not public | Not public |
Weight availability | Not public | Not public |
Use & commercial terms | Official service only; subject to provider terms | Official service only; subject to provider terms |
Local deploymentWeight size | Not provided | 0B |
VRAM for weights | Not provided | Not provided |
API modality supportText Input/Output | Input:YesOutput:Yes | Input:YesOutput:Yes |
Image Input/Output | Input:YesOutput:No | Input:YesOutput:No |
Audio Input/Output | Input:YesOutput:No | Input:NoOutput:No |
Video Input/Output | Input:YesOutput:No | Input:NoOutput:No |
ResourcesPaper / report | Gemini 3.1 Pro: A smarter model for your most complex tasks | Introducing Claude Opus 4.6 |