Updated daily at 05:00 UTC
Vision-language
Claude Opus 4.5
- Released
- 24 Nov 2025
- Status
- Legacy
- Context
- 200K
- Max output
- 64K
- Input per 1M tokens
- $5.00
- Output per 1M tokens
- $25.00
- Open weights
- No
- License
- proprietary
- Parameters
- —
- Knowledge cutoff
- May 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 | 32.1 | 52 | 4 of 4 |
| Coding & software engineering | 26.5 | Not ranked | 1 of 5 |
| Agentic tool use | 49.1 | 3 | 2 of 2 |
| Vision & multimodal understanding | 28.3 | 14 | 3 of 3 |
| Factuality & hallucination | 45.7 | 31 | 1 of 1 |
| Human preference | 59.6 | 7 | 3 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 | 12.0% | Independent | 32K | 8 Dec 2025 | Epoch AI |
| Chess Puzzles | Puzzles solved | 4.0% | Independent | — | 6 Aug 2026 | Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 89.9% | Third party | high | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| Earthborne Rangers (EBR-bench) | Objectives reached | 14.3% | Independent | 128K | 25 Jun 2026 | Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.4446 | Third party | high | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 22.0% | Independent | 48K | 25 Jul 2026 | Epoch AI |
| SimpleBench | Score (AVG@5) | 62.0% | Third party | — | — | SimpleBench Leaderboard via Epoch AI |
| SimpleBench | Score (AVG@5) | 62.0% | Third party | unknown | — | SimpleBench Leaderboard via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 86.0% | Independent | 32K | 24 Nov 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 85.5% | Independent | 16K | 25 Nov 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 80.7% | Independent | — | 24 Nov 2025 | Epoch AI |
Mathematics
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| FrontierMath Tier 4 | Accuracy | 4.9% | Independent | 32K | 11 Jun 2026 | Epoch AI |
| FrontierMath Tier 4 (v1) | Accuracy | 4.2% | Independent | 32K | 25 Nov 2025 | Epoch AI |
| FrontierMath Tier 4 (v1) | Accuracy | 4.2% | Independent | — | 25 Nov 2025 | Epoch AI |
| FrontierMath Tier 4 (v1) | Accuracy | 2.1% | Independent | 16K | 25 Nov 2025 | Epoch AI |
| FrontierMath Tiers 1-3 | Accuracy | 34.4% | Independent | 32K | 11 Jun 2026 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 20.7% | Independent | 32K | 25 Nov 2025 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 20.7% | Independent | — | 25 Nov 2025 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 20.3% | Independent | 16K | 25 Nov 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 86.1% | Independent | 32K | 24 Nov 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 81.7% | Independent | 16K | 24 Nov 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 48.1% | Independent | — | 24 Nov 2025 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Cybench | Unguided challenges solved | 82.0% | Self-reported | unknown | — | Opus 4.5 System Card via Epoch AI |
| GSO | OPT@1 | 26.5% | Third party | — | — | GSO Leaderboard via Epoch AI |
| GSO | OPT@1 | 26.5% | Third party | unknown | — | GSO Leaderboard via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 75.0% | Third party | 16K | — | METR - Measuring AI Ability to Complete Long Tasks via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 73.0% | Source not stated | — | — | Epoch AI via Epoch AI |
| SWE-bench Verified | % resolved | 76.7% | Independent | — | 5 Feb 2026 | Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 63.1% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 63.1% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 59.1% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 59.1% | Third party | 128K | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 58.4% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 57.8% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 54.3% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 52.1% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 51.9% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 51.7% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| WeirdML (v2) | Average accuracy | 63.7% | Third party | 16K | — | https://htihle.github.io/weirdml.html via Epoch AI |
Agentic tool use
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| BALROG | Average progress | 43.5% | Third party | — | — | Balrog Leaderboard via Epoch AI |
| BALROG | Average progress | 43.0% | Third party | unknown | — | https://balrogai.com/ via Epoch AI |
| BALROG | Average progress | 43.0% | Third party | 64K | — | Balrog Leaderboard via Epoch AI |
| Deep Research Bench (FutureSearch) | Average score | 54.8% | Third party | high | — | https://evals.futuresearch.ai/#drb via Epoch AI |
| Deep Research Bench (FutureSearch) | Average score | 53.7% | Third party | low | — | https://evals.futuresearch.ai/#drb via Epoch AI |
Computer & browser use
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| OSWorld-Verified | % tasks completed | 66.3% | Self-reported | — | — | Anthropic annoucement via Epoch AI |
Vision & multimodal understanding
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Furniture Assembly | Score | 28.3% | Independent | 64K | 10 Sep 2026 | Epoch AI |
| GeoBench | Country accuracy | 75.0% | Third party | — | — | GeoBench leaderboard via Epoch AI |
| Visual Physics Comprehension Test (VPCT) | Correct | 40.0% | Third party | 32K | — | Tweet from VPCT creator via Epoch AI |
Factuality & hallucination
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| SimpleQA Verified | Accuracy (% correct) | 45.7% | Independent | 32K | 27 Aug 2026 | Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Code Arena: WebDev (arena.ai) | Arena score (Elo scale) | 1468 | Independent | — | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Votes | 13430 | Independent | — | 25 Sep 2026 | Arena |
| Document Arena (arena.ai) | Arena score (Elo scale) | 1465 | Independent | — | 13 Sep 2026 | Arena |
| Document Arena (arena.ai) | Votes | 7981 | Independent | — | 13 Sep 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1470 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 72766 | 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 4.15 Aug 2025
- Claude Opus 422 May 2025
- Claude 3 Opus4 Mar 2024