# Claude 3.7 Sonnet vs GPT-5-Codex

> Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 37.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-gpt-5-codex
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 18.6.

## Snapshot

| | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 39.5 | 37.9 |
| Rank | 164 | 192 |
| Context | — | 400K |
| Input $/M | — | $1.25 |
| Output $/M | — | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude 3.7 Sonnet: 40.6 (#136)
- GPT-5-Codex: 42.4 (#103)

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| WeirdML | — | 54.5% |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| CadEval | 54% | — |

## Agentic & Tool Use

- Claude 3.7 Sonnet: 34.1 (#50)
- GPT-5-Codex: 31.0 (#72)

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |

## Reasoning

- Claude 3.7 Sonnet: 18.6 (#277)
- GPT-5-Codex: 30.9 (#83)

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 70.3% |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LMArena Hard Prompts | 1333 | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |

## Math

- Claude 3.7 Sonnet: 37.5 (#153)
- GPT-5-Codex: —

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| LMArena Math | 1337 | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |

## Knowledge

- Claude 3.7 Sonnet: 39.8 (#130)
- GPT-5-Codex: —

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| LMArena Expert | 1321 | — |

## Multimodal

- Claude 3.7 Sonnet: 33.7 (#95)
- GPT-5-Codex: —

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |

## Multilingual

- Claude 3.7 Sonnet: 44.1 (#179)
- GPT-5-Codex: —

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1296 | — |
| LMArena Chinese | 1299 | — |
| LMArena French | 1303 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1298 | — |

## Instruction Following

- Claude 3.7 Sonnet: 72.9 (#125)
- GPT-5-Codex: —

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
| LMArena Instruction Following | 1352 | — |

## Long Context

- Claude 3.7 Sonnet: 50.3 (#10)
- GPT-5-Codex: —

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |

## Writing & Preference

- Claude 3.7 Sonnet: 54.4 (#150)
- GPT-5-Codex: —

| Benchmark | Claude 3.7 Sonnet | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1314 | — |
| LMArena Creative Writing | 1332 | — |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LMArena Multi-Turn | 1339 | — |
| LiveBench Language | 59.9% | — |

## FAQ

### Is Claude 3.7 Sonnet better than GPT-5-Codex?

Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 37.9 on the Noometry Index.

### Is Claude 3.7 Sonnet or GPT-5-Codex better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 40.6 in the Noometry coding category.

### How many benchmarks do Claude 3.7 Sonnet and GPT-5-Codex share?

0 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and GPT-5-Codex has 3.