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。
Opus 4.7
Anthropic
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 数学推理 +21.2 / Relative gap: none clear
Relative edge: none clear / Relative gap: 数学推理 -21.2
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
Opus 4.7 · 67.74
Best single
Opus 4.7 · GPQA Diamond 94.20
Modality coverage
Opus 4.7 · 2 modalities
Head to head
8
Benchmarks
8
Wins
0
Losses
+16.13
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.
8 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Opus 4.7 | Opus 4.5 |
|---|---|---|
ARC-AGI 综合评估 | 93.50Thinking Level · High | 80.00Extended Thinking |
ARC-AGI-2 综合评估 | 75.80Thinking Level · High | 37.60Extended Thinking |
GPQA Diamond 综合评估 | 94.20Extended Thinking | 87.00Extended Thinking |
HLE 综合评估 | 54.70Extended Thinking ｜ Tools | 43.20Extended Thinking ｜ Tools |
SWE-bench Verified 编程与软件工程 | 87.60Extended Thinking ｜ Tools | 80.90Extended Thinking ｜ Tools |
FrontierMath 数学推理 | 43.80Thinking Level · Extra High | 20.70Extended Thinking |
22.90Thinking Level · Extra High | 4.20Standard Mode | |
Terminal Bench 2.0 AI Agent - 工具使用 | 69.40Extended Thinking ｜ Tools | 59.30Extended Thinking ｜ Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Opus 4.7Anthropic | Opus 4.5Anthropic |
|---|---|---|
Core specsRelease | 2026-04-16 | 2025-11-25 |
Context length | 1000K | 200K |
Max output | 131072 | 65536 |
MoE | No | No |
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 | / | / |
Image Input/Output | / | / |
ResourcesPaper / report | Introducing Claude Opus 4.7 | Introducing Claude Opus 4.5 |
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 |
Opus 4.5
Anthropic
