# Claude 3.7 Sonnet vs GLM-4.6V

> GLM-4.6V is the stronger model overall, scoring 41.3 to 39.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-glm-4-6v
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 3 categories and GLM-4.6V in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 18.6.
- GLM-4.6V has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 39.5 | 41.3 |
| Rank | 164 | 137 |
| Context | — | 128K |
| Input $/M | — | $0.30 |
| Output $/M | — | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.7 Sonnet: 40.6 (#136)
- GLM-4.6V: 40.9 (#128)

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1361 | 1390 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |

## Agentic & Tool Use

- Claude 3.7 Sonnet: 34.1 (#50)
- GLM-4.6V: —

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |

## Reasoning

- Claude 3.7 Sonnet: 18.6 (#277)
- GLM-4.6V: 27.6 (#115)

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1368 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |

## Math

- Claude 3.7 Sonnet: 37.5 (#153)
- GLM-4.6V: —

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| 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)
- GLM-4.6V: 38.0 (#149)

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1321 | 1371 |
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |

## Multimodal

- Claude 3.7 Sonnet: 33.7 (#95)
- GLM-4.6V: 34.8 (#90)

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Vision | 1169 | 1164 |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |

## Multilingual

- Claude 3.7 Sonnet: 44.1 (#179)
- GLM-4.6V: 48.6 (#141)

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1296 | 1359 |
| LMArena Chinese | 1299 | 1425 |
| LMArena Russian | 1311 | 1340 |
| LMArena French | 1303 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Spanish | 1298 | — |

## Instruction Following

- Claude 3.7 Sonnet: 72.9 (#125)
- GLM-4.6V: 71.4 (#151)

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1352 | 1352 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |

## Long Context

- Claude 3.7 Sonnet: 50.3 (#10)
- GLM-4.6V: 41.3 (#143)

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1373 | 1358 |
| Fiction.LiveBench | 83.3% | — |

## Writing & Preference

- Claude 3.7 Sonnet: 54.4 (#150)
- GLM-4.6V: 56.6 (#137)

| Benchmark | Claude 3.7 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Text | 1314 | 1377 |
| LMArena Creative Writing | 1332 | 1347 |
| LMArena Multi-Turn | 1339 | 1360 |
| 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 GLM-4.6V?

GLM-4.6V is the stronger model overall, scoring 41.3 to 39.5 on the Noometry Index.

### Is Claude 3.7 Sonnet or GLM-4.6V better for coding?

They score almost the same on coding (40.6 vs 40.9); test both on your own repository before choosing.

### How many benchmarks do Claude 3.7 Sonnet and GLM-4.6V share?

12 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and GLM-4.6V has 12.