Updated daily at 05:00 UTC
- Released
- 5 Aug 2025
- Status
- Retired
- Retired
- 5 Aug 2026
- Context
- 200K
- Max output
- 32K
- Input per 1M tokens
- $15.00
- Output per 1M tokens
- $75.00
- Open weights
- No
- License
- proprietary
- Parameters
- —
- Knowledge cutoff
- Jan 2025
- 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 | 26.4 | 66 | 4 of 4 |
| Agentic tool use | 48.3 | Not ranked | 1 of 2 |
| Vision & multimodal understanding | 2.5 | Not ranked | 1 of 3 |
| Human preference | 52.7 | Not ranked | 2 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 | 7.0% | Independent | — | 20 Jul 2026 | Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 80.0% | Third party | unknown | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| Earthborne Rangers (EBR-bench) | Objectives reached | 7.9% | Independent | — | 25 Jun 2026 | Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.3708 | Third party | unknown | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 21.0% | Independent | 24K | 25 Jul 2026 | Epoch AI |
| SimpleBench | Score (AVG@5) | 60.0% | Third party | — | — | SimpleBench Leaderboard via Epoch AI |
| SimpleBench | Score (AVG@5) | 60.0% | Third party | unknown | — | SimpleBench Leaderboard via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 77.3% | Independent | 16K | 5 Aug 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 76.8% | Independent | 27K | 5 Aug 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 73.2% | Independent | — | 5 Aug 2025 | Epoch AI |
Mathematics
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| FrontierMath Tier 4 | Accuracy | 2.4% | Independent | 32K | 11 Jun 2026 | Epoch AI |
| FrontierMath Tier 4 (v1) | Accuracy | 4.2% | Independent | 27K | 5 Aug 2025 | Epoch AI |
| FrontierMath Tiers 1-3 | Accuracy | 12.6% | Independent | 32K | 11 Jun 2026 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 7.2% | Independent | 27K | 5 Aug 2025 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 5.9% | Independent | — | 5 Aug 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 68.9% | Independent | 27K | 5 Aug 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 64.4% | Independent | 16K | 5 Aug 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 40.0% | Independent | — | 5 Aug 2025 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Cybench | Unguided challenges solved | 42.0% | Third party | — | — | Cybench leaderboard via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 66.8% | Third party | 16K | — | METR - Measuring AI Ability to Complete Long Tasks via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 61.6% | Source not stated | — | — | Epoch AI via Epoch AI |
| SWE-bench Verified | % resolved | 73.3% | Independent | — | 11 Feb 2026 | Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 38.0% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 38.0% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 36.9% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 36.9% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 35.1% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 35.1% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 34.8% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 34.8% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| WeirdML (v2) | Average accuracy | 45.9% | Third party | 16K | — | https://htihle.github.io/weirdml.html via Epoch AI |
Agentic tool use
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Deep Research Bench (FutureSearch) | Average score | 48.3% | Third party | — | — | https://evals.futuresearch.ai/#drb via Epoch AI |
Vision & multimodal understanding
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Visual Physics Comprehension Test (VPCT) | Correct | 35.0% | Third party | — | — | VPCT leaderboard via Epoch AI |
| Visual Physics Comprehension Test (VPCT) | Correct | 33.0% | Third party | 16K | — | VPCT leaderboard via Epoch AI |
Writing
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| LLM Creative Story-Writing Benchmark V1 (Lech Mazur) | Mean rubric score (percent of the 10-point scale) | 84.7% | Third party | — | — | lechmazur/writing Github repository via Epoch AI |
| LLM Creative Story-Writing Benchmark V1 (Lech Mazur) | Mean rubric score (percent of the 10-point scale) | 84.5% | Third party | 16K | — | lechmazur/writing Github repository via Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Code Arena: WebDev (arena.ai) | Arena score (Elo scale) | 1390 | Independent | — | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Votes | 6933 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1448 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 76940 | Independent | — | 25 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 4.716 Apr 2026
- Claude Opus 4.65 Feb 2026
- Claude Opus 4.524 Nov 2025
- Claude Opus 422 May 2025
- Claude 3 Opus4 Mar 2024
Sources
- https://www.anthropic.com/news/claude-opus-4-1
- https://web.archive.org/web/20251220000000/https://docs.claude.com/en/docs/about-claude/models/overview
- https://platform.claude.com/docs/en/about-claude/pricing
- https://platform.claude.com/docs/en/about-claude/model-deprecations
- https://platform.claude.com/docs/en/release-notes/overview