Claude Sonnet 4.5 leads on the shared-benchmark average
Ahead on 10 of 18 shared benchmarks, averaging 5.9 points higher
Summarised only from the 18 percentage-scale benchmarks scored by every selected model; details are below. A further 4 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.

Claude Sonnet 4.5
Anthropic

Gemini 2.5-Pro
Google Deep Mind
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: AI Agent - 工具使用 +16.9 / Relative gap: 数学推理 -11.8
Relative edge: 数学推理 +11.8 / Relative gap: AI Agent - 工具使用 -16.9
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.
34 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Claude Sonnet 4.5 | Gemini 2.5-Pro |
|---|---|---|
63.67Thinking Enabled | 37.00Thinking Enabled | |
13.61Thinking Enabled | 4.86Thinking Enabled | |
1.10Thinking Enabled | 2.60Thinking Enabled | |
33.60Thinking Enabled | Tools | 22.50Thinking Enabled | |
68.1964K | 58.33Thinking Level · High | |
88.00Thinking Enabled | 86.00Standard Mode | |
83.40Thinking Enabled | 86.40Thinking Enabled | |
1389.00Standard Mode | Tools | 1125.00Standard Mode | Tools | |
14.70Standard Mode | Tools | 3.92Standard Mode | Tools | |
71.00Thinking Enabled | 80.10Thinking Enabled | |
45.70Thinking Enabled | 46.30Thinking Enabled | |
77.20Thinking Enabled | Tools | 67.20Thinking Enabled | |
100.00Thinking Enabled | Tools | 88.00Thinking Enabled | |
5.20Standard Mode | 11.00Standard Mode | |
4.2032K | 2.10Standard Mode | |
27.10Thinking Enabled | 55.20Thinking Enabled | |
4.80Thinking Enabled | 17.60Thinking Enabled | |
1674.40Standard Mode | 1418.90Standard Mode | |
42.80Thinking Enabled | Tools | 32.60Thinking Enabled | Tools | |
50.00Thinking Enabled | Tools | 25.30Thinking Enabled | |
55.80Thinking Enabled | Tools | 28.50Thinking Enabled | Tools | |
5.20Thinking Enabled | 10.20Thinking Enabled | |
77.80Thinking Level · High | 82.00Thinking Enabled | |
68.90Thinking Level · High | 74.90Thinking Enabled | |
39.8032K | 46.40Standard Mode | |
54.30Standard Mode | 62.40Thinking Enabled | |
121.9516K | Tools | 38.73Standard Mode | Tools | |
33.00Thinking Enabled | Tools | 25.00Thinking Enabled | Tools | |
98.00Thinking Enabled | Tools | 54.10Thinking Enabled | Tools | |
24.50Thinking Enabled | Tools | 13.66Thinking Level · High | Tools | |
57.30Thinking Enabled | Tools | 49.00Thinking Enabled | Tools | |
24.10Thinking Enabled | Tools | 7.80Thinking Enabled | Tools | |
39.00Thinking Enabled | 22.00Thinking Enabled | |
72.30Thinking Enabled | 69.00Thinking Enabled |
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 | Claude Sonnet 4.5Anthropic | Gemini 2.5-ProGoogle Deep Mind |
|---|---|---|
Core specsRelease | 2025-09-30 | 2025-06-05 |
Context length | 1000K | 1000K |
Max output length | 65,536 tokens | 65,536 tokens |
Architecture | Undisclosed | Undisclosed |
Runtime modes | 关闭深度 | 关闭深度 |
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 |
API modality supportText Input/Output | Input:YesOutput:Yes | Input:YesOutput:Yes |
Image Input/Output | Input:YesOutput:No | Input:YesOutput:No |
ResourcesPaper / report | Introducing Claude Sonnet 4.5 | Try the latest Gemini 2.5 Pro before general availability. |
DataLearner blog | 全球最强编程大模型升级:Anthropic发布Claude Sonnet 4.5!同时还有一波重磅工具更新:Claude Code支持保存状态等 | 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 |