# GLM-4.5 vs Hunyuan Large 2025 02 10

> GLM-4.5 is the stronger model overall, scoring 41.4 to 38.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-hunyuan-large
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GLM-4.5 scores higher in 7 categories and Hunyuan Large 2025 02 10 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 53.0 to 42.1.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Tencent |
| Noometry Index | 41.4 | 38.0 |
| Rank | 125 | 183 |
| Context | 131K | — |
| Input $/M | $0.60 | — |
| Output $/M | $2.20 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5: 41.1 (#121)
- Hunyuan Large 2025 02 10: 37.6 (#177)

| Benchmark | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Coding | 1434 | 1307 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 27.7 (#99)
- Hunyuan Large 2025 02 10: 24.5 (#147)

| Benchmark | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1286 |
| Kagi LLM Benchmark | 57.9% | — |

## Math

- GLM-4.5: 36.3 (#119)
- Hunyuan Large 2025 02 10: 33.1 (#178)

| Benchmark | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Math | 1427 | 1281 |

## Knowledge

- GLM-4.5: 35.5 (#172)
- Hunyuan Large 2025 02 10: 34.5 (#188)

| Benchmark | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Expert | 1433 | 1276 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |

## Multilingual

- GLM-4.5: 53.0 (#74)
- Hunyuan Large 2025 02 10: 42.1 (#195)

| Benchmark | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1417 | 1265 |
| LMArena Chinese | 1465 | 1346 |
| LMArena Russian | 1414 | 1266 |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- Hunyuan Large 2025 02 10: 67.6 (#192)

| Benchmark | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1277 |

## Long Context

- GLM-4.5: 38.2 (#196)
- Hunyuan Large 2025 02 10: 40.8 (#144)

| Benchmark | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1413 | 1342 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- Hunyuan Large 2025 02 10: 48.9 (#191)

| Benchmark | GLM-4.5 | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Text | 1430 | 1288 |
| LMArena Creative Writing | 1395 | 1264 |
| LMArena Multi-Turn | 1415 | 1284 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

### Is GLM-4.5 better than Hunyuan Large 2025 02 10?

GLM-4.5 is the stronger model overall, scoring 41.4 to 38.0 on the Noometry Index.

### Is GLM-4.5 or Hunyuan Large 2025 02 10 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.1 versus 37.6 in the Noometry coding category.

### How many benchmarks do GLM-4.5 and Hunyuan Large 2025 02 10 share?

12 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Hunyuan Large 2025 02 10 has 12.