# GLM-4.6V vs Mistral Medium 3.5

> GLM-4.6V is the stronger model overall, scoring 41.3 to 40.2 on the Noometry Index.

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

## Summary

- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 2 categories and Mistral Medium 3.5 in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 17.3.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 128K.

## Snapshot

| | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.3 | 40.2 |
| Rank | 137 | 152 |
| Context | 128K | 262K |
| Input $/M | $0.30 | $1.50 |
| Output $/M | $0.90 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-4.6V: 40.9 (#128)
- Mistral Medium 3.5: 36.0 (#213)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1390 | 1461 |
| LMArena WebDev | — | 1264 |

## Reasoning

- GLM-4.6V: 27.6 (#115)
- Mistral Medium 3.5: 17.3 (#295)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1436 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| Epoch Capabilities Index | — | 141.35 |

## Math

- GLM-4.6V: —
- Mistral Medium 3.5: 39.1 (#113)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | — | 1431 |

## Knowledge

- GLM-4.6V: 38.0 (#149)
- Mistral Medium 3.5: 40.0 (#126)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1371 | 1432 |

## Multimodal

- GLM-4.6V: 34.8 (#90)
- Mistral Medium 3.5: 38.3 (#65)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1164 | 1223 |

## Multilingual

- GLM-4.6V: 48.6 (#141)
- Mistral Medium 3.5: 51.9 (#100)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1359 | 1404 |
| LMArena Chinese | 1425 | 1442 |
| LMArena Russian | 1340 | 1395 |
| LMArena French | — | 1448 |
| LMArena German | — | 1451 |
| LMArena Korean | — | 1385 |
| LMArena Spanish | — | 1409 |

## Instruction Following

- GLM-4.6V: 71.4 (#151)
- Mistral Medium 3.5: 74.6 (#90)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1415 |

## Long Context

- GLM-4.6V: 41.3 (#143)
- Mistral Medium 3.5: 43.2 (#103)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1358 | 1415 |

## Writing & Preference

- GLM-4.6V: 56.6 (#137)
- Mistral Medium 3.5: 58.5 (#117)

| Benchmark | GLM-4.6V | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1377 | 1421 |
| LMArena Creative Writing | 1347 | 1374 |
| LMArena Multi-Turn | 1360 | 1423 |
| EQ-Bench 4 | — | 993 |

## FAQ

### Is GLM-4.6V better than Mistral Medium 3.5?

GLM-4.6V is the stronger model overall, scoring 41.3 to 40.2 on the Noometry Index.

### Which is cheaper, GLM-4.6V or Mistral Medium 3.5?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

### Is GLM-4.6V or Mistral Medium 3.5 better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 36.0 in the Noometry coding category.

### Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 128K.

### How many benchmarks do GLM-4.6V and Mistral Medium 3.5 share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral Medium 3.5 has 22.