Anthropic, proprietary

# Claude 3.7 Sonnet

> Claude 3.7 Sonnet by Anthropic, released February 2025. Ranked #164 of 354 with a Noometry Index of 39.5. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/claude-3-7-sonnet
- Last updated: 2026-10-10
- Title: Claude 3.7 Sonnet Benchmarks, Price & Rank (October 2026)

Claude 3.7 Sonnet by Anthropic ranks 164th of 354 ranked models on the Noometry Index as of October 2026, with a score of 39.5. Its strongest category is long context, where it ranks 10th.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #164 of 354
- **Index score:** 39.5
- **Evidence:** Confirmed 58 results
- **Provider:** [Anthropic](https://noometry.com/providers/anthropic)
- **Released:** February 24, 2025
- **Weights:** Proprietary
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Claude 3.7 Sonnet category scores

1.  Coding 40.6
2.  Agentic & Tool Use 34.1
3.  Reasoning 18.6
4.  Math 37.5
5.  Knowledge 39.8
6.  Multimodal 33.7
7.  Multilingual 44.1
8.  Instruction Following 72.9
9.  Long Context 50.3
10.  Writing & Preference 54.4
11.  020406080

Claude 3.7 Sonnet category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 40.6 | #136 | 7 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 34.1 | #50 | 4 |
| [Reasoning](https://noometry.com/best/reasoning) | 18.6 | #277 | 7 |
| [Math](https://noometry.com/best/math) | 37.5 | #153 | 5 |
| [Knowledge](https://noometry.com/best/knowledge) | 39.8 | #130 | 6 |
| [Multimodal](https://noometry.com/best/multimodal) | 33.7 | #95 | 3 |
| [Multilingual](https://noometry.com/best/multilingual) | 44.1 | #179 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 72.9 | #125 | 3 |
| [Long Context](https://noometry.com/best/long-context) | 50.3 | #10 | 2 |
| [Writing & Preference](https://noometry.com/best/writing) | 54.4 | #150 | 7 |

## Strengths and weaknesses

Categories where Claude 3.7 Sonnet places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Claude 3.7 Sonnet: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Long Context](https://noometry.com/best/long-context) | 50.3 | +9.3 | #10 of 296, top 4% |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 34.1 | +3.8 | #50 of 154, top 33% |
| [Coding](https://noometry.com/best/coding) | 40.6 | +1.9 | #136 of 340, top 40% |

### Weakest categories

Claude 3.7 Sonnet: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 18.6 | −5.0 | #277 of 350, top 80% |
| [Multimodal](https://noometry.com/best/multimodal) | 33.7 | −4.8 | #95 of 128, top 75% |
| [Multilingual](https://noometry.com/best/multilingual) | 44.1 | −3.3 | #179 of 297, top 61% |

## Closest competitors

The models ranked just above and below Claude 3.7 Sonnet. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Claude 3.7 Sonnet
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Step 1o Turbo 202506](https://noometry.com/models/step-1o-turbo-202506) | #160 | 39.7 | — | — | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-step-1o-turbo-202506) |
| [Nova 2 Lite](https://noometry.com/models/nova-2-lite) | #161 | 39.7 | $0.85 | — | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-nova-2-lite) |
| [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale) | #162 | 39.7 | $0.85 | — | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-deepseek-v3-2-speciale) |
| [Hunyuan Turbo 0110](https://noometry.com/models/hunyuan-turbo) | #163 | 39.6 | — | — | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-hunyuan-turbo) |
| [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | #165 | 39.5 | $2 | — | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-claude-haiku-4-5) |
| [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | #166 | 39.5 | $0.41 | 73 | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-deepseek-v3) |
| [Grok 4 Fast](https://noometry.com/models/grok-4-fast) | #167 | 39.4 | — | 577 | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-grok-4-fast) |
| [Olmo 3.1 32b Instruct](https://noometry.com/models/olmo-3-1-32b-instruct) | #168 | 39.4 | — | — | [Compare](https://noometry.com/compare/claude-3-7-sonnet-vs-olmo-3-1-32b-instruct) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Claude 3.7 Sonnet Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SWE-bench Verified](https://noometry.com/benchmarks/swe-bench-verified) | 61% | #28 of 32, top 88% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-04 |
| [SWE-bench Verified (bash only)](https://noometry.com/benchmarks/swe-bench-bash-only) | 52.8% | #28 of 39, top 72% |  | [SWE-bench](https://www.swebench.com/) | 2025-07-20 |
| [Aider Polyglot](https://noometry.com/benchmarks/aider-polyglot) | 60.4% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Aider Polyglot](https://noometry.com/benchmarks/aider-polyglot) | 64.9% | #10 of 44, top 23% | 32K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GSO](https://noometry.com/benchmarks/gso-bench) | 3.8% | #27 of 31, top 88% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Coding](https://noometry.com/benchmarks/livebench-coding) | 74.5% | #4 of 39, top 11% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1361 | #167 of 294, top 57% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [CadEval](https://noometry.com/benchmarks/cadeval) | 54% | #5 of 14, top 36% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Claude 3.7 Sonnet Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [TheAgentCompany](https://noometry.com/benchmarks/the-agent-company) | 30.9% | #4 of 14, top 29% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Cybench](https://noometry.com/benchmarks/cybench) | 20% | #11 of 21, top 53% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DeepResearch Bench](https://noometry.com/benchmarks/deepresearch-bench) | 43.6% | #17 of 24, top 71% | 2K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [OSWorld](https://noometry.com/benchmarks/osworld) | 35.8% | #6 of 8, top 75% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [METR Time Horizons](https://noometry.com/benchmarks/metr-time-horizons) | 55.8% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [METR Time Horizons](https://noometry.com/benchmarks/metr-time-horizons) | 60% | #18 of 32, top 57% | 16K | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Claude 3.7 Sonnet Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 0% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 0.7% |  | 16K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 0.4% |  | 1K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 0.9% | #69 of 83, top 84% | 8K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SimpleBench](https://noometry.com/benchmarks/simplebench) | 46.4% | #46 of 77, top 60% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SimpleBench](https://noometry.com/benchmarks/simplebench) | 46.4% |  | 12K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 13.6% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 28.6% | #66 of 83, top 80% | 16K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 11.6% |  | 1K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 21.2% |  | 8K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [EnigmaEval](https://noometry.com/benchmarks/enigmaeval) | 4.2% | #24 of 38, top 64% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench Reasoning](https://noometry.com/benchmarks/livebench-reasoning) | 87.8% | #5 of 39, top 13% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1333 | #172 of 297, top 58% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LiveBench Data Analysis](https://noometry.com/benchmarks/livebench-data-analysis) | 74% | #2 of 39, top 6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 141.16 | #105 of 213, top 50% |  | [Epoch AI](https://epoch.ai/eci) | 2025-02-24 |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 61.8 | #5 of 72, top 7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LiveBench](https://noometry.com/benchmarks/livebench) | 76.1% | #3 of 39, top 8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Claude 3.7 Sonnet Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 21.9% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-25 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 46.7% |  | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-26 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 53.3% |  | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-12 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 57.8% | #105 of 173, top 61% | 64K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-13 |
| [Omni-MATH](https://noometry.com/benchmarks/omni-math) | 33% | #34 of 57, top 60% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [LiveBench Math](https://noometry.com/benchmarks/livebench-math) | 79% | #5 of 39, top 13% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1337 | #168 of 285, top 59% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MATH Level 5](https://noometry.com/benchmarks/math-level-5) | 68.2% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-24 |
| [MATH Level 5](https://noometry.com/benchmarks/math-level-5) | 86.3% |  | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-26 |
| [MATH Level 5](https://noometry.com/benchmarks/math-level-5) | 90% |  | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-12 |
| [MATH Level 5](https://noometry.com/benchmarks/math-level-5) | 91.2% | #13 of 79, top 17% | 64K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-13 |
| [FrontierMath (Feb 2025 set)](https://noometry.com/benchmarks/frontiermath-2025-02) | 3.1% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-06 |
| [FrontierMath (Feb 2025 set)](https://noometry.com/benchmarks/frontiermath-2025-02) | 4.1% | #49 of 68, top 73% | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-06 |
| [FrontierMath (Feb 2025 set)](https://noometry.com/benchmarks/frontiermath-2025-02) | 3.4% |  | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-13 |
| [FrontierMath (Feb 2025 set)](https://noometry.com/benchmarks/frontiermath-2025-02) | 3.1% |  | 64K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-13 |

### Knowledge

Claude 3.7 Sonnet Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 66% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-24 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 76.8% |  | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-02-26 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 76.8% |  | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-03-10 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 79.7% | #80 of 186, top 44% | 64K | [Epoch AI](https://epoch.ai/benchmarks) | 2025-05-26 |
| [Humanity's Last Exam](https://noometry.com/benchmarks/hle) | 8% | #29 of 41, top 71% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [MMLU-Pro](https://noometry.com/benchmarks/mmlu-pro) | 78.4% | #21 of 58, top 37% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [Confabulations](https://noometry.com/benchmarks/confabulations) (lower is better) | 14.7% | #17 of 51, top 34% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/confabulations) |  |
| [Confabulations](https://noometry.com/benchmarks/confabulations) (lower is better) | 19.8% |  |  | [Lech Mazur benchmarks](https://github.com/lechmazur/confabulations) |  |
| [GPQA (HELM)](https://noometry.com/benchmarks/helm-gpqa) | 60.8% | #22 of 57, top 39% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1321 | #169 of 273, top 62% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Claude 3.7 Sonnet Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1169 | #91 of 122, top 75% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [GeoBench](https://noometry.com/benchmarks/geobench) | 68% | #13 of 25, top 52% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GeoBench](https://noometry.com/benchmarks/geobench) | 65% |  | 15K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [VPCT](https://noometry.com/benchmarks/vpct) | 39% | #15 of 24, top 63% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [VPCT](https://noometry.com/benchmarks/vpct) | 35% |  | 64K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SpatialViz-Bench](https://noometry.com/benchmarks/spatialviz-bench) | 33.9% | #5 of 8, top 63% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Multilingual

Claude 3.7 Sonnet Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1296 | #179 of 297, top 61% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1299 | #189 of 285, top 67% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1303 | #161 of 223, top 73% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1301 | #150 of 231, top 65% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1267 | #135 of 211, top 64% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1249 | #146 of 213, top 69% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1311 | #170 of 283, top 61% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1298 | #161 of 226, top 72% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Claude 3.7 Sonnet Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LiveBench Instruction Following](https://noometry.com/benchmarks/livebench-if) | 81.3% | #9 of 39, top 24% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [IFEval](https://noometry.com/benchmarks/ifeval) | 83.4% | #29 of 57, top 51% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1352 | #144 of 298, top 49% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Claude 3.7 Sonnet Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Fiction.LiveBench](https://noometry.com/benchmarks/fiction-livebench) | 50% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Fiction.LiveBench](https://noometry.com/benchmarks/fiction-livebench) | 83.3% | #8 of 47, top 18% | 8K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1373 | #137 of 291, top 48% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Claude 3.7 Sonnet Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1314 | #183 of 297, top 62% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1332 | #144 of 295, top 49% | thinking-32k | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Short-Story Creative Writing](https://noometry.com/benchmarks/lech-mazur-writing) | 79.4% |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Short-Story Creative Writing](https://noometry.com/benchmarks/lech-mazur-writing) | 81.1% | #13 of 39, top 34% | 16K | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1412 | #70 of 115, top 61% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [WildBench](https://noometry.com/benchmarks/wildbench) | 81.4% | #23 of 57, top 41% |  | [HELM Capabilities](https://crfm.stanford.edu/helm/capabilities/latest/) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1339 | #163 of 295, top 56% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LiveBench Language](https://noometry.com/benchmarks/livebench-language) | 59.9% | #5 of 39, top 13% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare Claude 3.7 Sonnet

-   [Claude 3.7 Sonnet vs Claude 3.5 Sonnet](https://noometry.com/compare/claude-3-5-sonnet-vs-claude-3-7-sonnet)
-   [Claude 3.7 Sonnet vs Hunyuan Turbo 0110](https://noometry.com/compare/claude-3-7-sonnet-vs-hunyuan-turbo)
-   [Claude 3.7 Sonnet vs Claude Haiku 4.5](https://noometry.com/compare/claude-3-7-sonnet-vs-claude-haiku-4-5)
-   [Claude 3.7 Sonnet vs DeepSeek-V3.2-Speciale](https://noometry.com/compare/claude-3-7-sonnet-vs-deepseek-v3-2-speciale)
-   [Claude 3.7 Sonnet vs DeepSeek-V3](https://noometry.com/compare/claude-3-7-sonnet-vs-deepseek-v3)
-   [Claude 3.7 Sonnet vs Nova 2 Lite](https://noometry.com/compare/claude-3-7-sonnet-vs-nova-2-lite)
-   [Claude 3.7 Sonnet vs Grok 4 Fast](https://noometry.com/compare/claude-3-7-sonnet-vs-grok-4-fast)
-   [Claude 3.7 Sonnet vs GPT-6 Astra](https://noometry.com/compare/claude-3-7-sonnet-vs-gpt-6-astra)
-   [Claude 3.7 Sonnet vs Gemini 3.8 Flash](https://noometry.com/compare/claude-3-7-sonnet-vs-gemini-3-8-flash)
-   [Claude 3.7 Sonnet vs Kimi K3](https://noometry.com/compare/claude-3-7-sonnet-vs-kimi-k3)
-   [Claude 3.7 Sonnet vs Grok 4.6](https://noometry.com/compare/claude-3-7-sonnet-vs-grok-4-6)
-   [Claude 3.7 Sonnet vs Qwen3.8 Max](https://noometry.com/compare/claude-3-7-sonnet-vs-qwen3-8-max)
-   [Claude 3.7 Sonnet vs GLM-5.3](https://noometry.com/compare/claude-3-7-sonnet-vs-glm-5-3)
-   [Claude 3.7 Sonnet vs Muse Spark 1.3](https://noometry.com/compare/claude-3-7-sonnet-vs-muse-spark-1-3)

## Other Anthropic models

-   [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1)69.0
-   [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5)68.6
-   [Claude Opus 5](https://noometry.com/models/claude-opus-5)67.8
-   [Claude Fable 5](https://noometry.com/models/claude-fable-5)66.8
-   [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5)61.9
-   [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8)60.7
-   [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7)58.3
-   [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6)58.2

## Frequently asked questions

### How good is Claude 3.7 Sonnet?

Claude 3.7 Sonnet by Anthropic ranks 164th of 354 ranked models on the Noometry Index as of October 2026, with a score of 39.5. Its strongest category is long context, where it ranks 10th.

### Is Claude 3.7 Sonnet open source?

No. Claude 3.7 Sonnet is proprietary and available only through Anthropic's API and partner platforms.

### What are Claude 3.7 Sonnet's strengths and weaknesses?

Relative to other ranked models, Claude 3.7 Sonnet places best in long context, agentic & tool use, coding and lowest in reasoning, multimodal, multilingual.

### What is Claude 3.7 Sonnet best at?

Its best category is long context, where it ranks 10th on Noometry.

### Cite this page

Noometry. (2026). Claude 3.7 Sonnet benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/claude-3-7-sonnet

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/claude-3-7-sonnet.md).