Opus 4.7 leads on the shared-benchmark average
Ahead on 2 of 4 shared benchmarks, averaging 0.7 points higher
Summarised only from the 4 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.

Opus 4.7
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: 编程与软件工程 +10.7 / Relative gap: 综合评估 -4.9
Relative edge: 综合评估 +4.9 / Relative gap: 编程与软件工程 -10.7
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.
29 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Opus 4.7 | Gemini 3.1 Pro Preview |
|---|---|---|
75.80Thinking Level · High | 77.10Thinking Level · High | |
12.00Thinking Level · High | 17.70Thinking Enabled | |
54.70Extended Thinking | Tools | 51.40Thinking Level · High | Tools | |
76.53Deep Thinking Mode | 77.13Thinking Level · High | |
91.50Standard Mode | 92.60Thinking Level · High | |
94.20Extended Thinking | 94.30Thinking Level · High | |
44.12Standard Mode | Tools | 22.55Standard Mode | Tools | |
64.30Extended Thinking | Tools | 54.20Thinking Level · High | Tools | |
87.60Extended Thinking | Tools | 80.60Thinking Level · High | Tools | |
1562.39Standard Mode | 1461.49Standard Mode | |
76.40Standard Mode | Tools | 72.10Standard Mode | Tools | |
1907.10Standard Mode | 1488.90Standard Mode | |
61.70Standard Mode | 79.60Standard Mode | |
43.80Thinking Level · Extra High | 36.90Thinking Level · High | |
22.90Thinking Level · Extra High | 16.70Standard Mode | |
54.50Standard Mode | Tools | 53.80Thinking Enabled | Tools | |
88.60Thinking Level · High | Tools | 99.30Thinking Level · High | Tools | |
40.21Thinking Level · High | Tools | 26.03Thinking Level · High | Tools | |
58.60Thinking Level · High | 77.10Thinking Enabled | |
79.30Extended Thinking | Tools | 85.90Thinking Level · High | Tools | |
79.10Thinking Level · High | Tools | 78.20Thinking Level · High | Tools | |
78.00Extended Thinking | Tools | 76.20Thinking Enabled | Tools | |
69.40Extended Thinking | Tools | 68.50Thinking Level · High | Tools | |
69.70Thinking Level · High | Tools | 73.80Thinking Enabled | Tools | |
46.70Thinking Level · Low | 84.73Thinking Level · High | |
43.75Thinking Level · High | Tools | 41.25Thinking Enabled | Tools | |
1396.00Thinking Level · High | Tools | 904.00Thinking Enabled | |
78.80Thinking Level · High | 82.40Thinking Enabled | |
76.01Thinking Level · High | 81.01Thinking 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 | Opus 4.7Anthropic | Gemini 3.1 Pro PreviewGoogle Deep Mind |
|---|---|---|
Core specsRelease | 2026-04-16 | 2026-02-20 |
Context length | 1000K | 1M |
Max output length | 131,072 tokens | 65,536 tokens |
Architecture | Undisclosed | Undisclosed |
Runtime modes | 关闭中高极高扩展 | 低高 |
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 |
Audio Input/Output | Input:NoOutput:No | Input:YesOutput:No |
Video Input/Output | Input:NoOutput:No | Input:YesOutput:No |
ResourcesPaper / report | Introducing Claude Opus 4.7 | Gemini 3.1 Pro: A smarter model for your most complex tasks |
DataLearner blog | Anthropic发布Claude Opus 4.7:编程能力大幅跃升,视觉分辨率提升超3倍,首个搭载网络安全防护机制的旗舰模型! | Not provided |

Gemini 3.1 Pro Preview
Google Deep Mind