Updated daily at 05:00 UTC
Vision-language
Claude Opus 5
- Released
- 24 Jul 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
- May 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 | 59.3 | 10 | 4 of 4 |
| Coding & software engineering | 63.5 | Not ranked | 2 of 5 |
| Agentic tool use | 63.4 | Not ranked | 1 of 2 |
| Computer & browser use | 31.4 | 1 | 1 of 1 |
| Vision & multimodal understanding | 44.0 | Not ranked | 1 of 3 |
| Factuality & hallucination | 59.9 | 14 | 1 of 1 |
| Human preference | 61.1 | 4 | 4 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 | 42.0% | Independent | max | 24 Jul 2026 | Epoch AI |
| Chess Puzzles | Puzzles solved | 33.0% | Independent | — | 6 Aug 2026 | Epoch AI |
| Chess Puzzles | Puzzles solved | 20.0% | Independent | low | 6 Aug 2026 | Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 97.9% | Third party | xhigh | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 97.9% | Third party | high | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 97.6% | Third party | max | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 94.9% | Third party | medium | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 93.1% | Third party | low | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| Earthborne Rangers (EBR-bench) | Objectives reached | 45.7% | Independent | max | 5 Sep 2026 | Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.6445 | Third party | xhigh | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.6367 | Third party | high | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.633 | Third party | max | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.6293 | Third party | medium | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.6258 | Third party | low | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 59.0% | Independent | max | 25 Jul 2026 | Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 37.0% | Independent | — | 6 Aug 2026 | Epoch AI |
| SimpleBench | Score (AVG@5) | 80.6% | Third party | unknown | — | https://lmcouncil.ai/benchmarks via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 93.9% | Independent | max | 24 Jul 2026 | Epoch AI |
| GPQA Diamond | Accuracy | 92.9% | Independent | — | 6 Aug 2026 | Epoch AI |
| GPQA Diamond | Accuracy | 87.9% | Independent | low | 6 Aug 2026 | Epoch AI |
Mathematics
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| FrontierMath Tier 4 | Accuracy | 73.2% | Independent | max | 24 Jul 2026 | Epoch AI |
| FrontierMath Tiers 1-3 | Accuracy | 85.6% | Independent | max | 24 Jul 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 98.9% | Independent | max | 24 Jul 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 97.8% | Independent | — | 6 Aug 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 93.3% | Independent | low | 6 Aug 2026 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| DeepSWE | Pass@1 | 73.6% | Third party | max | — | https://deepswe.datacurve.ai/ via Epoch AI |
| DeepSWE | Pass@1 | 73.2% | Third party | xhigh | — | https://deepswe.datacurve.ai/ via Epoch AI |
| DeepSWE | Pass@1 | 72.8% | Third party | high | — | https://deepswe.datacurve.ai/ via Epoch AI |
| DeepSWE | Pass@1 | 68.9% | Third party | medium | — | https://deepswe.datacurve.ai/ via Epoch AI |
| DeepSWE | Pass@1 | 58.1% | Third party | low | — | https://deepswe.datacurve.ai/ via Epoch AI |
| FrontierCode | Main score (Mean@5) | 53.4% | Third party | max | — | https://cognition.com/frontiercode via Epoch AI |
| PostTrainBench | Average score | 35.0% | Source not stated | unknown | — | Epoch AI via Epoch AI |
| WeirdML (v2) | Average accuracy | 91.8% | Third party | max | — | https://htihle.github.io/weirdml.html via Epoch AI |
| WeirdML (v2) | Average accuracy | 91.6% | Third party | high | — | https://htihle.github.io/weirdml.html via Epoch AI |
| WeirdML (v2) | Average accuracy | 86.3% | Third party | — | — | https://htihle.github.io/weirdml.html via Epoch AI |
Agentic tool use
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| BALROG | Average progress | 63.4% | Third party | max | — | https://balrogai.com/ via Epoch AI |
Computer & browser use
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| OSWorld 2.0 | Binary completion (500 steps) | 31.4% | Third party | max | — | https://osworld-v2.xlang.ai/ via Epoch AI |
| OSWorld 2.0 | Binary completion (500 steps) | 30.2% | Third party | xhigh | — | https://osworld-v2.xlang.ai/ via Epoch AI |
| OSWorld 2.0 | Binary completion (500 steps) | 29.0% | Third party | high | — | https://osworld-v2.xlang.ai/ via Epoch AI |
| OSWorld 2.0 | Binary completion (500 steps) | 25.3% | Third party | medium | — | https://osworld-v2.xlang.ai/ via Epoch AI |
| OSWorld 2.0 | Binary completion (500 steps) | 22.3% | Third party | low | — | 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) | 65.8% | Source not stated | max | — | Epoch AI via Epoch AI |
Vision & multimodal understanding
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Furniture Assembly | Score | 60.8% | Independent | max | 10 Sep 2026 | Epoch AI |
Factuality & hallucination
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| SimpleQA Verified | Accuracy (% correct) | 59.9% | Independent | max | 10 Aug 2026 | Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Code Arena: WebDev (arena.ai) | Arena score (Elo scale) | 1693 | Independent | max | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Arena score (Elo scale) | 1662 | Independent | high | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Votes | 18930 | Independent | high | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Votes | 15627 | Independent | max | 25 Sep 2026 | Arena |
| Document Arena (arena.ai) | Arena score (Elo scale) | 1490 | Independent | high | 13 Sep 2026 | Arena |
| Document Arena (arena.ai) | Votes | 8794 | Independent | high | 13 Sep 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1491 | Independent | high | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1488 | Independent | max | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 55063 | Independent | high | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 26760 | Independent | max | 25 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Arena score (Elo scale) | 1289 | Independent | high | 28 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Votes | 15304 | Independent | high | 28 Sep 2026 | Arena |
Other Claude Opus versions
- Claude Opus 5.522 Sep 2026
- Claude Opus 4.828 May 2026
- Claude Opus 4.716 Apr 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