Claude Opus 4.6 leads on the shared-benchmark average
Ahead on 4 of 5 shared benchmarks, averaging 6.5 points higher
Summarised only from the 5 percentage-scale benchmarks scored by every selected model; details are below. A further 2 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 4.5
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: 多模态理解 +1.7 / Relative gap: 数学推理 -19.3
Relative edge: 数学推理 +19.3 / Relative gap: 多模态理解 -1.7
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.
30 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Opus 4.5 | Claude Opus 4.6 |
|---|---|---|
80.00Extended Thinking | 92.00Extended Thinking | |
37.64Extended Thinking | 66.30Extended Thinking | |
4.60Thinking Enabled | 12.60Thinking Level · High | |
43.20Extended Thinking | Tools | 53.00Extended Thinking | Tools | |
72.5864K | 74.52Thinking Level · High | |
87.00Extended Thinking | 91.31Extended Thinking | |
26.50Standard Mode | Tools | 41.20Thinking Level · High | Tools | |
87.10Thinking Enabled | 76.00Extended Thinking | |
80.90Extended Thinking | Tools | 80.84Extended Thinking | Tools | |
1512.0032K | 1555.35Standard Mode | |
63.7016K | Tools | 77.95Thinking Level · High | Tools | |
93.30Extended Thinking | 96.67Thinking Level · High | Tools | |
91.30Thinking Enabled | 99.79Extended Thinking | |
20.70Extended Thinking | 40.70Thinking Level · High | |
4.20Standard Mode | 22.90Thinking Level · High | |
4.8832K | 26.83Thinking Level · High | |
34.3932K | 65.96Thinking Level · High | |
1683.20Standard Mode | 1804.10Standard Mode | |
80.70Thinking Level · High | 77.30Extended Thinking | Tools | |
74.00Thinking Enabled | 77.30Thinking Enabled | Tools | |
62.00Extended Thinking | 67.60Standard Mode | |
47.00Thinking Enabled | Tools | 48.50Standard Mode | Tools | |
81.99Extended Thinking | Tools | 91.89Extended Thinking | Tools | |
92.32Thinking Level · High | Tools | 99.25Extended Thinking | Tools | |
24.74Thinking Level · High | Tools | 27.32Thinking Level · High | Tools | |
58.00Thinking Enabled | 94.00Extended Thinking | |
69.80Thinking Level · High | Tools | 76.80Thinking Level · High | Tools | |
59.30Extended Thinking | Tools | 65.40Extended Thinking | Tools | |
70.70Standard Mode | 78.00Thinking Level · High | |
87.20Extended Thinking | Tools | 87.40Thinking Enabled | Tools |
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 4.5Anthropic | Claude Opus 4.6Anthropic |
|---|---|---|
Core specsRelease | 2025-11-25 | 2026-02-05 |
Context length | 200K | 1000K |
Max output length | 65,536 tokens | 65,536 tokens |
Architecture | Undisclosed | Undisclosed |
Runtime modes | 关闭扩展 | 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 |
ResourcesPaper / report | Introducing Claude Opus 4.5 | Introducing Claude Opus 4.6 |

Claude Opus 4.6
Anthropic