# Claude 3.5 Haiku vs GLM-4.6V

> GLM-4.6V is the stronger model overall, scoring 41.3 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-5-haiku-vs-glm-4-6v
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Claude 3.5 Haiku 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 38.0 to 18.7.
- GLM-4.6V has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 29.2 | 41.3 |
| Rank | 315 | 137 |
| Context | — | 128K |
| Input $/M | — | $0.30 |
| Output $/M | — | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.5 Haiku: 32.9 (#265)
- GLM-4.6V: 40.9 (#128)

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| LMArena Coding | 1286 | 1390 |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |

## Agentic & Tool Use

- Claude 3.5 Haiku: 28.0 (#95)
- GLM-4.6V: —

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| BALROG | 19.3% | — |

## Reasoning

- Claude 3.5 Haiku: 17.7 (#290)
- GLM-4.6V: 27.6 (#115)

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1368 |
| CritPt | 0% | — |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| Epoch Capabilities Index | 127.15 | — |
| LiveBench | 43.5% | — |

## Math

- Claude 3.5 Haiku: 14.7 (#300)
- GLM-4.6V: —

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| LMArena Math | 1244 | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Claude 3.5 Haiku: 18.7 (#281)
- GLM-4.6V: 38.0 (#149)

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| LMArena Expert | 1208 | 1371 |
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |

## Multimodal

- Claude 3.5 Haiku: 26.8 (#117)
- GLM-4.6V: 34.8 (#90)

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| LMArena Vision | 1092 | 1164 |
| GeoBench | 34% | — |

## Multilingual

- Claude 3.5 Haiku: 40.0 (#218)
- GLM-4.6V: 48.6 (#141)

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| LMArena Non-English | 1238 | 1359 |
| LMArena Chinese | 1229 | 1425 |
| LMArena Russian | 1253 | 1340 |
| LMArena French | 1264 | — |
| LMArena German | 1237 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1173 | — |
| LMArena Spanish | 1261 | — |

## Instruction Following

- Claude 3.5 Haiku: 62.9 (#234)
- GLM-4.6V: 71.4 (#151)

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | 1241 | 1352 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |

## Long Context

- Claude 3.5 Haiku: 38.3 (#200)
- GLM-4.6V: 41.3 (#143)

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | 1261 | 1358 |

## Writing & Preference

- Claude 3.5 Haiku: 42.7 (#234)
- GLM-4.6V: 56.6 (#137)

| Benchmark | Claude 3.5 Haiku | GLM-4.6V |
|---|---|---|
| LMArena Text | 1255 | 1377 |
| LMArena Creative Writing | 1233 | 1347 |
| LMArena Multi-Turn | 1265 | 1360 |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |

## FAQ

### Is Claude 3.5 Haiku better than GLM-4.6V?

GLM-4.6V is the stronger model overall, scoring 41.3 to 29.2 on the Noometry Index.

### Is Claude 3.5 Haiku or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 32.9 in the Noometry coding category.

### How many benchmarks do Claude 3.5 Haiku and GLM-4.6V share?

12 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GLM-4.6V has 12.