# Claude 3.7 Sonnet vs Qwen3.8 Max

> Qwen3.8 Max is the stronger model overall, scoring 56.8 to 39.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-qwen3-8-max
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 1 category and Qwen3.8 Max in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.8 Max leads 54.4 to 18.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 100% for Qwen3.8 Max.

## Snapshot

| | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.5 | 56.8 |
| Rank | 164 | 22 |
| Context | — | 1M |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude 3.7 Sonnet: 40.6 (#136)
- Qwen3.8 Max: 53.5 (#29)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1361 | 1502 |
| SWE-bench Verified | 61% | — |
| DeepSWE | — | 57.5% |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |

## Agentic & Tool Use

- Claude 3.7 Sonnet: 34.1 (#50)
- Qwen3.8 Max: 45.4 (#14)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| TheAgentCompany | 30.9% | — |
| τ²-bench Banking | — | 55.1% |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| GDP.pdf | — | 23.2% |
| METR Time Horizons | 60% | — |

## Reasoning

- Claude 3.7 Sonnet: 18.6 (#277)
- Qwen3.8 Max: 54.4 (#26)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1496 |
| Epoch Capabilities Index | 141.16 | 156.41 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| NYT Connections (extended) | — | 88.3% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 46.2% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |

## Math

- Claude 3.7 Sonnet: 37.5 (#153)
- Qwen3.8 Max: 73.2 (#20)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 100% |
| LMArena Math | 1337 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| ProofBench | — | 58% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |

## Knowledge

- Claude 3.7 Sonnet: 39.8 (#130)
- Qwen3.8 Max: 61.7 (#27)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | 79.7% | 92.7% |
| LMArena Expert | 1321 | 1507 |
| Humanity's Last Exam | 8% | — |
| SimpleQA Verified | — | 47.3% |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |

## Multimodal

- Claude 3.7 Sonnet: 33.7 (#95)
- Qwen3.8 Max: 37.2 (#75)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | 1169 | 1314 |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| Furniture Assembly | — | 20% |
| SpatialViz-Bench | 33.9% | — |

## Multilingual

- Claude 3.7 Sonnet: 44.1 (#179)
- Qwen3.8 Max: 56.7 (#18)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1296 | 1472 |
| LMArena Chinese | 1299 | 1538 |
| LMArena French | 1303 | 1503 |
| LMArena German | 1301 | 1483 |
| LMArena Japanese | 1267 | 1467 |
| LMArena Korean | 1249 | 1461 |
| LMArena Russian | 1311 | 1481 |
| LMArena Spanish | 1298 | 1492 |

## Instruction Following

- Claude 3.7 Sonnet: 72.9 (#125)
- Qwen3.8 Max: 77.6 (#17)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1352 | 1479 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |

## Long Context

- Claude 3.7 Sonnet: 50.3 (#10)
- Qwen3.8 Max: 45.6 (#31)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1373 | 1489 |
| Fiction.LiveBench | 83.3% | — |

## Writing & Preference

- Claude 3.7 Sonnet: 54.4 (#150)
- Qwen3.8 Max: 67.1 (#30)

| Benchmark | Claude 3.7 Sonnet | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1314 | 1483 |
| LMArena Creative Writing | 1332 | 1479 |
| LMArena Multi-Turn | 1339 | 1489 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |

## FAQ

### Is Claude 3.7 Sonnet better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 39.5 on the Noometry Index.

### Is Claude 3.7 Sonnet or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 40.6 in the Noometry coding category.

### How many benchmarks do Claude 3.7 Sonnet and Qwen3.8 Max share?

21 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Qwen3.8 Max has 39.