Updated daily at 05:00 UTC
- Released
- 22 May 2025
- Status
- Retired
- Retired
- 15 Jun 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 | 47.3 | 22 | 2 of 4 |
| Coding & software engineering | 39.4 | Not ranked | 2 of 5 |
| Agentic tool use | 46.8 | Not ranked | 1 of 2 |
| Vision & multimodal understanding | 28.0 | 15 | 2 of 3 |
| Human preference | 37.4 | 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 |
|---|---|---|---|---|---|---|
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 81.6% | Third party | unknown | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.3743 | Third party | unknown | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| SimpleBench | Score (AVG@5) | 58.8% | Third party | unknown | — | SimpleBench Leaderboard via Epoch AI |
| SimpleBench | Score (AVG@5) | 58.8% | Third party | 12K | — | SimpleBench Leaderboard via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 76.3% | Independent | 16K | 22 May 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 69.2% | Independent | — | 22 May 2025 | Epoch AI |
Mathematics
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| FrontierMath Tier 4 (v1) | Accuracy | 4.2% | Independent | 27K | 1 Jul 2025 | Epoch AI |
| FrontierMath Tier 4 (v1) | Accuracy | 0.0% | Independent | — | 1 Jul 2025 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 4.5% | Independent | — | 4 Jul 2025 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 4.1% | Independent | 27K | 5 Aug 2025 | Epoch AI |
| MATH Level 5 | Accuracy | 85.0% | Independent | — | 22 May 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 64.4% | Independent | 27K | 28 May 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 60.0% | Independent | 16K | 22 May 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 42.2% | Independent | — | 22 May 2025 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Aider Polyglot | Percent correct | 72.0% | Third party | 32K | — | https://aider.chat/docs/leaderboards/ via Epoch AI |
| Aider Polyglot | Percent correct | 70.7% | Third party | — | — | https://aider.chat/docs/leaderboards/ via Epoch AI |
| Cybench | Unguided challenges solved | 38.0% | Third party | — | — | Cybench leaderboard via Epoch AI |
| GSO | OPT@1 | 6.9% | Third party | — | — | GSO Leaderboard via Epoch AI |
| GSO | OPT@1 | 6.9% | Third party | unknown | — | GSO Leaderboard via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 63.9% | Third party | 16K | — | METR - Measuring AI Ability to Complete Long Tasks via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 61.5% | Source not stated | unknown | — | Epoch AI via Epoch AI |
| SWE-bench Verified | % resolved | 70.7% | Independent | — | 6 Feb 2026 | Epoch AI |
| WeirdML (v2) | Average accuracy | 43.7% | 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 | 46.8% | Third party | 2K | — | https://evals.futuresearch.ai/#drb via Epoch AI |
Long context
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Fiction.LiveBench | % correct at 16K tokens (Epoch's column) | 61.1% | Third party | — | — | Fiction.live leaderboard via Epoch AI |
Vision & multimodal understanding
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GeoBench | Country accuracy | 49.0% | Third party | 32K | — | GeoBench leaderboard via Epoch AI |
| Visual Physics Comprehension Test (VPCT) | Correct | 38.0% | Third party | 16K | — | VPCT leaderboard via Epoch AI |
| Visual Physics Comprehension Test (VPCT) | Correct | 33.0% | Third party | — | — | 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) | 83.6% | Third party | 16K | — | lechmazur/writing Github repository via Epoch AI |
| LLM Creative Story-Writing Benchmark V1 (Lech Mazur) | Mean rubric score (percent of the 10-point scale) | 83.1% | Third party | — | — | lechmazur/writing Github repository via Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Text Arena (arena.ai) | Arena score (Elo scale) | 1414 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 42789 | Independent | — | 25 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Arena score (Elo scale) | 1188 | Independent | — | 28 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Votes | 2177 | Independent | — | 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 4.716 Apr 2026
- Claude Opus 4.65 Feb 2026
- Claude Opus 4.524 Nov 2025
- Claude Opus 4.15 Aug 2025
- Claude 3 Opus4 Mar 2024