Updated daily at 05:00 UTC
Vision-language
Claude Sonnet 4.5
- Released
- 29 Sep 2025
- Status
- Legacy
- Context
- 200K
- Max output
- 64K
- Input per 1M tokens
- $3.00
- Output per 1M tokens
- $15.00
- 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 | 25.1 | 69 | 4 of 4 |
| Coding & software engineering | 14.7 | Not ranked | 1 of 5 |
| Agentic tool use | 52.6 | Not ranked | 1 of 2 |
| Vision & multimodal understanding | 9.7 | Not ranked | 1 of 3 |
| Factuality & hallucination | 30.7 | 52 | 1 of 1 |
| Human preference | 54.2 | 19 | 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) | 83.2% | Third party | unknown | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| Earthborne Rangers (EBR-bench) | Objectives reached | 2.4% | Independent | — | 25 Jun 2026 | Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.3876 | Third party | unknown | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 17.0% | Independent | 48K | 25 Jul 2026 | Epoch AI |
| SimpleBench | Score (AVG@5) | 54.3% | Third party | unknown | — | SimpleBench Leaderboard via Epoch AI |
| SimpleBench | Score (AVG@5) | 54.3% | Third party | 12K | — | SimpleBench Leaderboard via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 82.3% | Independent | 59K | 28 Oct 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 81.7% | Independent | 32K | 21 Oct 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 78.8% | Independent | 16K | 28 Oct 2025 | Epoch AI |
| GPQA Diamond | Accuracy | 73.7% | Independent | — | 29 Sep 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 | 32K | 22 Oct 2025 | Epoch AI |
| FrontierMath Tier 4 (v1) | Accuracy | 2.1% | Independent | — | 29 Sep 2025 | Epoch AI |
| FrontierMath Tiers 1-3 | Accuracy | 23.9% | Independent | 32K | 11 Jun 2026 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 15.2% | Independent | 32K | 16 Nov 2025 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 13.5% | Independent | 59K | 13 Nov 2025 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 9.3% | Independent | — | 16 Nov 2025 | Epoch AI |
| MATH Level 5 | Accuracy | 97.7% | Independent | 32K | 21 Oct 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 77.8% | Independent | 32K | 21 Oct 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 77.8% | Independent | 59K | 28 Oct 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 71.1% | Independent | 16K | 28 Oct 2025 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 35.6% | Independent | — | 29 Sep 2025 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Cybench | Unguided challenges solved | 55.0% | Third party | — | — | Cybench leaderboard via Epoch AI |
| Cybench | Unguided challenges solved | 60.0% | Self-reported | unknown | — | Opus 4.5 System Card via Epoch AI |
| GSO | OPT@1 | 14.7% | Third party | unknown | — | GSO Leaderboard via Epoch AI |
| GSO | OPT@1 | 14.7% | Third party | — | — | GSO Leaderboard via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 67.4% | Third party | 16K | — | METR - Measuring AI Ability to Complete Long Tasks via Epoch AI |
| SWE-bench Verified | % resolved | 71.3% | Independent | — | 5 Feb 2026 | Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 46.5% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 43.1% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 42.8% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 42.8% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 42.7% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 42.6% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 42.6% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 42.5% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 42.5% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 40.1% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 40.1% | Third party | unknown | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 42.7% | Source not stated | unknown | — | Epoch AI via Epoch AI |
| WeirdML (v2) | Average accuracy | 47.7% | Third party | 16K | — | https://htihle.github.io/weirdml.html via Epoch AI |
| WeirdML (v2) | Average accuracy | 46.7% | Third party | — | — | 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 | 52.6% | Third party | 2K | — | DeepResearchBench Leaderboard via Epoch AI |
| Deep Research Bench (FutureSearch) | Average score | 47.5% | 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 | 62.9% | Third party | — | — | OS World Website via Epoch AI |
| OSWorld-Verified | % tasks completed | 58.1% | Third party | — | — | OS World Website via Epoch AI |
| OSWorld-Verified | % tasks completed | 42.9% | Third party | — | — | OS World Website via Epoch AI |
Vision & multimodal understanding
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Visual Physics Comprehension Test (VPCT) | Correct | 39.8% | Third party | 32K | — | VPCT leaderboard via Epoch AI |
| Visual Physics Comprehension Test (VPCT) | Correct | 38.0% | Third party | — | — | VPCT leaderboard via Epoch AI |
Factuality & hallucination
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| SimpleQA Verified | Accuracy (% correct) | 30.7% | Independent | 59K | 27 Aug 2026 | Epoch AI |
| SimpleQA Verified | Accuracy (% correct) | 23.7% | Independent | — | 10 Aug 2026 | Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Code Arena: WebDev (arena.ai) | Arena score (Elo scale) | 1384 | Independent | — | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Votes | 15728 | Independent | — | 25 Sep 2026 | Arena |
| Document Arena (arena.ai) | Arena score (Elo scale) | 1449 | Independent | — | 13 Sep 2026 | Arena |
| Document Arena (arena.ai) | Votes | 31455 | Independent | — | 13 Sep 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1455 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 82451 | Independent | — | 25 Sep 2026 | Arena |
Other Claude Sonnet versions
- Claude Sonnet 5.528 Sep 2026
- Claude Sonnet 530 Jun 2026
- Claude Sonnet 4.617 Feb 2026
- Claude Sonnet 422 May 2025
- Claude 3.7 Sonnet24 Feb 2025
- Claude 3.5 Sonnet20 Jun 2024
- Claude 3 Sonnet4 Mar 2024