# Claude Sonnet 5 vs GPT-6 Sol

> Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 49.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-sonnet-5-vs-gpt-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Claude Sonnet 5 scores higher in 6 categories and GPT-6 Sol in 4 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5 leads 66.1 to 35.8.
- The biggest single-benchmark swing is NYT Connections (extended): 75.1% for Claude Sonnet 5 and 90.1% for GPT-6 Sol.
- Both cost about the same: $2 input and $10 output per million tokens.
- GPT-6 Sol accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 54.5 | 49.2 |
| Rank | 26 | 46 |
| Context | 1M | 1.05M |
| Input $/M | $2 | $2 |
| Output $/M | $10 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Sonnet 5: 55.5 (#20)
- GPT-6 Sol: 59.6 (#11)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| DeepSWE | 53.8% | 68.8% |
| FrontierCode | 42.7% | 49.3% |
| LMArena WebDev | 1540 | 1692 |
| LMArena Coding | 1483 | 1453 |
| CursorBench | 34.1% | — |
| SciCode | 53.6% | — |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
| ALE-Bench | 1,463 | — |

## Agentic & Tool Use

- Claude Sonnet 5: 42.7 (#16)
- GPT-6 Sol: 33.5 (#49)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| APEX-Agents | 54.5% | — |
| GBAEval | 65.3% | — |
| GDP.pdf | — | 28% |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |

## Reasoning

- Claude Sonnet 5: 48.2 (#37)
- GPT-6 Sol: 49.3 (#34)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | 75.1% | 90.1% |
| LMArena Hard Prompts | 1461 | 1420 |
| SimpleBench | 60.6% | — |
| CritPt | 16.9% | — |
| Chess Puzzles | 35% | — |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | 35% | — |
| DTBench | 92.5% | — |
| LMCA | 50% | — |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 156.34 | — |
| ForecastBench | 61.1 | — |

## Math

- Claude Sonnet 5: 66.1 (#21)
- GPT-6 Sol: 35.8 (#135)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1467 | 1404 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 94.7% | — |
| ProofBench | 77% | — |

## Knowledge

- Claude Sonnet 5: 55.7 (#42)
- GPT-6 Sol: 43.0 (#87)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| LMArena Expert | 1491 | 1449 |
| GPQA Diamond | 90.5% | — |
| SimpleQA Verified | 33.7% | — |
| Vectara Hallucination Rate | — | 6.5% |

## Multimodal

- Claude Sonnet 5: 42.4 (#26)
- GPT-6 Sol: 47.6 (#9)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1275 | — |
| Blueprint-Bench 2 | 24.9% | — |
| Furniture Assembly | — | 58.3% |
| LMArena Document | 1466 | — |

## Multilingual

- Claude Sonnet 5: 54.0 (#55)
- GPT-6 Sol: 51.0 (#113)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1431 | 1389 |
| LMArena Chinese | 1475 | 1416 |
| LMArena Russian | 1452 | 1407 |
| LMArena Spanish | 1436 | 1377 |
| LMArena French | 1457 | — |
| LMArena German | 1448 | — |
| LMArena Japanese | 1422 | — |
| LMArena Korean | 1411 | — |

## Instruction Following

- Claude Sonnet 5: 76.6 (#39)
- GPT-6 Sol: 74.4 (#97)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1453 | 1406 |

## Long Context

- Claude Sonnet 5: 44.8 (#53)
- GPT-6 Sol: 43.2 (#100)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1464 | 1415 |

## Writing & Preference

- Claude Sonnet 5: 69.4 (#24)
- GPT-6 Sol: 72.3 (#15)

| Benchmark | Claude Sonnet 5 | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1443 | 1396 |
| LMArena Creative Writing | 1416 | 1392 |
| EQ-Bench Creative Writing | 1794 | 2125 |
| LMArena Multi-Turn | 1454 | 1405 |
| EQ-Bench 4 | 1236 | — |

## FAQ

### Is Claude Sonnet 5 better than GPT-6 Sol?

Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 49.2 on the Noometry Index.

### Which is cheaper, Claude Sonnet 5 or GPT-6 Sol?

GPT-6 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Claude Sonnet 5 lists at $2 and $10.

### Is Claude Sonnet 5 or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 55.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 1M.

### How many benchmarks do Claude Sonnet 5 and GPT-6 Sol share?

18 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and GPT-6 Sol has 22.