# Claude 3 Sonnet vs GLM-4.6V

> GLM-4.6V is the stronger model overall, scoring 40.9 to 28.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-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 Sonnet scores higher in 0 categories and GLM-4.6V in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.6V leads 37.4 to 21.1.
- GLM-4.6V has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 28.8 | 40.9 |
| Rank | 311 | 133 |
| Context | — | 128K |
| Input $/M | — | $0.30 |
| Output $/M | — | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Claude 3 Sonnet: 29.2 (#296)
- GLM-4.6V: 40.2 (#128)

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1223 | 1390 |
| WeirdML | 10.2% | — |
| BigCodeBench Instruct | 42.7% | — |
| BigCodeBench Complete | 53.8% | — |
| HumanEval+ | 64% | — |
| MBPP+ | 69.3% | — |

## Reasoning

- Claude 3 Sonnet: 19.7 (#232)
- GLM-4.6V: 26.5 (#117)

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1197 | 1368 |
| DTBench | 53.6% | — |
| Epoch Capabilities Index | 120.69 | — |
| WinoGrande | 75.1% | — |

## Math

- Claude 3 Sonnet: 10.0 (#305)
- GLM-4.6V: —

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | — |
| LMArena Math | 1213 | — |
| MATH Level 5 | 18.2% | — |

## Knowledge

- Claude 3 Sonnet: 21.1 (#271)
- GLM-4.6V: 37.4 (#148)

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1173 | 1372 |
| GPQA Diamond | 40.6% | — |
| MMLU | 75.9% | — |

## Multimodal

- Claude 3 Sonnet: 24.7 (#120)
- GLM-4.6V: 34.2 (#83)

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Vision | 984 | 1164 |

## Multilingual

- Claude 3 Sonnet: 38.0 (#229)
- GLM-4.6V: 48.8 (#135)

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1205 | 1359 |
| LMArena Chinese | 1188 | 1426 |
| LMArena Russian | 1227 | 1341 |
| LMArena French | 1228 | — |
| LMArena German | 1204 | — |
| LMArena Japanese | 1131 | — |
| LMArena Korean | 1128 | — |
| LMArena Spanish | 1204 | — |

## Instruction Following

- Claude 3 Sonnet: 63.1 (#230)
- GLM-4.6V: 71.6 (#145)

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1200 | 1351 |

## Long Context

- Claude 3 Sonnet: 36.7 (#223)
- GLM-4.6V: 41.3 (#138)

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1211 | 1358 |

## Writing & Preference

- Claude 3 Sonnet: 42.3 (#233)
- GLM-4.6V: 56.8 (#132)

| Benchmark | Claude 3 Sonnet | GLM-4.6V |
|---|---|---|
| LMArena Text | 1218 | 1377 |
| LMArena Creative Writing | 1186 | 1347 |
| LMArena Multi-Turn | 1227 | 1359 |

## FAQ

### Is Claude 3 Sonnet better than GLM-4.6V?

GLM-4.6V is the stronger model overall, scoring 40.9 to 28.8 on the Noometry Index.

### Is Claude 3 Sonnet or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.2 versus 29.2 in the Noometry coding category.

### How many benchmarks do Claude 3 Sonnet and GLM-4.6V share?

12 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and GLM-4.6V has 12.