# GLM-4.5V vs Qwen3.5 122B-A10B

> Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 39.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-qwen3-5-122b-a10b
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 2 categories and Qwen3.5 122B-A10B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 122B-A10B leads 60.0 to 52.5.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $0.40 / $3.20 for Qwen3.5 122B-A10B.
- Qwen3.5 122B-A10B accepts more context: 262K tokens versus 64K.

## Snapshot

| | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 39.8 | 42.1 |
| Rank | 158 | 119 |
| Context | 64K | 262K |
| Input $/M | $0.60 | $0.40 |
| Output $/M | $1.80 | $3.20 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 39.5 (#155)
- Qwen3.5 122B-A10B: 39.1 (#162)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Coding | 1347 | 1436 |
| LMArena WebDev | — | 1360 |
| SciCode | — | 35.6% |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- Qwen3.5 122B-A10B: 27.2 (#123)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1421 |
| Kagi LLM Benchmark | 59.8% | — |
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |

## Math

- GLM-4.5V: 37.4 (#159)
- Qwen3.5 122B-A10B: 39.1 (#112)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | 1354 | 1432 |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- Qwen3.5 122B-A10B: 38.8 (#142)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Expert | 1353 | 1432 |
| Vectara Hallucination Rate | — | 11.2% |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- Qwen3.5 122B-A10B: 39.6 (#57)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | 1154 | 1245 |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- Qwen3.5 122B-A10B: 51.6 (#107)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | 1303 | 1400 |
| LMArena Chinese | 1337 | 1462 |
| LMArena Russian | 1298 | 1400 |
| LMArena Spanish | 1336 | 1424 |
| LMArena French | — | 1442 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1367 |
| LMArena Korean | — | 1352 |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- Qwen3.5 122B-A10B: 73.8 (#115)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | 1311 | 1399 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- Qwen3.5 122B-A10B: 43.0 (#109)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | 1304 | 1410 |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- Qwen3.5 122B-A10B: 60.0 (#105)

| Benchmark | GLM-4.5V | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | 1333 | 1417 |
| LMArena Creative Writing | 1295 | 1368 |
| LMArena Multi-Turn | 1332 | 1416 |

## FAQ

### Is GLM-4.5V better than Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 39.8 on the Noometry Index.

### Which is cheaper, GLM-4.5V or Qwen3.5 122B-A10B?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Qwen3.5 122B-A10B lists at $0.40 and $3.20.

### Is GLM-4.5V or Qwen3.5 122B-A10B better for coding?

They score almost the same on coding (39.5 vs 39.1); test both on your own repository before choosing.

### Which has the bigger context window?

Qwen3.5 122B-A10B does, with 262K tokens against 64K.

### How many benchmarks do GLM-4.5V and Qwen3.5 122B-A10B share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen3.5 122B-A10B has 27.