Updated daily at 05:00 UTC
Vision-language
Claude Opus 4.7
- Released
- 16 Apr 2026
- Status
- Legacy
- Context
- 1M
- Max output
- 128K
- Input per 1M tokens
- $5.00
- Output per 1M tokens
- $25.00
- Open weights
- No
- License
- proprietary
- Parameters
- —
- Knowledge cutoff
- Jan 2026
- Reasoning
- Yes
- Modalities
- text, image → text
Category scores
Out of 100, from independent and third-party results only, by method category-2026-09-29.1.
| Category | Score | Rank | Coverage |
|---|---|---|---|
| Knowledge & reasoning | 40.2 | 36 | 4 of 4 |
| Coding & software engineering | 37.9 | 7 | 3 of 5 |
| Computer & browser use | 18.2 | 4 | 1 of 1 |
| Vision & multimodal understanding | 4.8 | Not ranked | 1 of 3 |
| Factuality & hallucination | 51.7 | 20 | 1 of 1 |
| Human preference | 52.0 | 25 | 5 of 5 |
Benchmark results
Every result we hold for this model, with who ran it and where it was published.
Knowledge & reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Chess Puzzles | Puzzles solved | 30.0% | Independent | xhigh | 20 Apr 2026 | Epoch AI |
| Chess Puzzles | Puzzles solved | 20.0% | Independent | low | 14 Jul 2026 | Epoch AI |
| Chess Puzzles | Puzzles solved | 7.0% | Independent | max | 6 Aug 2026 | Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 94.7% | Third party | max | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| Earthborne Rangers (EBR-bench) | Objectives reached | 19.0% | Independent | max | 30 Jun 2026 | Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.522 | Third party | max | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 28.0% | Independent | max | 25 Jul 2026 | Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 13.0% | Independent | — | 6 Aug 2026 | Epoch AI |
| SimpleBench | Score (AVG@5) | 61.7% | Third party | unknown | — | https://lmcouncil.ai/benchmarks via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 90.2% | Independent | xhigh | 17 Apr 2026 | Epoch AI |
| GPQA Diamond | Accuracy | 86.4% | Independent | max | 6 Aug 2026 | Epoch AI |
Mathematics
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| FrontierMath Tier 4 | Accuracy | 31.7% | Independent | max | 10 Jun 2026 | Epoch AI |
| FrontierMath Tier 4 (v1) | Accuracy | 22.9% | Independent | xhigh | 17 Apr 2026 | Epoch AI |
| FrontierMath Tiers 1-3 | Accuracy | 70.2% | Independent | max | 10 Jun 2026 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 43.8% | Independent | xhigh | 17 Apr 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 97.8% | Independent | xhigh | 17 Apr 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 86.7% | Independent | max | 6 Aug 2026 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| ExploitBench | Mean capability | 26.5% | Source not stated | — | — | Epoch AI via Epoch AI |
| ExploitBench | Mean capability | 23.9% | Source not stated | — | — | Epoch AI via Epoch AI |
| FrontierCode | Main score (Mean@5) | 38.5% | Third party | unknown | — | https://cognition.com/frontiercode via Epoch AI |
| GSO | OPT@1 | 44.1% | Third party | high | — | https://gso-bench.github.io/index.html via Epoch AI |
| GSO | OPT@1 | 44.1% | Third party | — | — | GSO Leaderboard via Epoch AI |
| MirrorCode | Score | 31.1% | Independent | high | 12 Aug 2026 | Epoch AI |
| PostTrainBench | Average score | 28.6% | Source not stated | xhigh | — | Epoch AI via Epoch AI |
| SWE-bench Verified | % resolved | 83.5% | Independent | max | 20 Apr 2026 | Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 80.2% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| WeirdML (v2) | Average accuracy | 76.4% | Third party | high | — | https://htihle.github.io/weirdml.html via Epoch AI |
| WeirdML (v2) | Average accuracy | 76.4% | Third party | unknown | — | WeirdML Leaderboard via Epoch AI |
| WeirdML (v2) | Average accuracy | 76.4% | Third party | — | — | https://htihle.github.io/weirdml.html via Epoch AI |
| WeirdML (v2) | Average accuracy | 75.5% | Third party | max | — | https://htihle.github.io/weirdml.html via Epoch AI |
Computer & browser use
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| OSWorld 2.0 | Binary completion (500 steps) | 18.2% | Third party | max | — | https://osworld-v2.xlang.ai/ via Epoch AI |
| OSWorld 2.0 | Binary completion (500 steps) | 13.9% | Third party | max | — | https://osworld-v2.xlang.ai/ via Epoch AI |
Professional knowledge work
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| APEX-Agents | Pass@1 (all rubric criteria met) | 49.2% | Source not stated | max | — | Epoch AI via Epoch AI |
Vision & multimodal understanding
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Furniture Assembly | Score | 33.3% | Independent | max | 10 Sep 2026 | Epoch AI |
Factuality & hallucination
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| SimpleQA Verified | Accuracy (% correct) | 51.7% | Independent | xhigh | 27 Aug 2026 | Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Code Arena: WebDev (arena.ai) | Arena score (Elo scale) | 1557 | Independent | high | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Arena score (Elo scale) | 1556 | Independent | — | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Votes | 17538 | Independent | high | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Votes | 16945 | Independent | — | 25 Sep 2026 | Arena |
| Document Arena (arena.ai) | Arena score (Elo scale) | 1494 | Independent | — | 13 Sep 2026 | Arena |
| Document Arena (arena.ai) | Arena score (Elo scale) | 1493 | Independent | high | 13 Sep 2026 | Arena |
| Document Arena (arena.ai) | Votes | 22192 | Independent | — | 13 Sep 2026 | Arena |
| Document Arena (arena.ai) | Votes | 21957 | Independent | high | 13 Sep 2026 | Arena |
| Search Arena (arena.ai) | Arena score (Elo scale) | 1212 | Independent | — | 24 Aug 2026 | Arena |
| Search Arena (arena.ai) | Votes | 91394 | Independent | — | 24 Aug 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1502 | Independent | high | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1495 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 65051 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 64007 | Independent | high | 25 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Arena score (Elo scale) | 1299 | Independent | — | 28 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Arena score (Elo scale) | 1298 | Independent | high | 28 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Votes | 22948 | Independent | — | 28 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Votes | 22559 | Independent | high | 28 Sep 2026 | Arena |
Other Claude Opus versions
- Claude Opus 5.522 Sep 2026
- Claude Opus 524 Jul 2026
- Claude Opus 4.828 May 2026
- Claude Opus 4.65 Feb 2026
- Claude Opus 4.524 Nov 2025
- Claude Opus 4.15 Aug 2025
- Claude Opus 422 May 2025
- Claude 3 Opus4 Mar 2024