# GLM-4.6V vs Mistral Medium

> GLM-4.6V is the stronger model overall, scoring 40.9 to 36.0 on the Noometry Index.

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

## Summary

- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 3 categories and Mistral Medium in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.6V leads 37.4 to 24.9.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 128K.

## Snapshot

| | GLM-4.6V | Mistral Medium |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 40.9 | 36.0 |
| Rank | 133 | 211 |
| Context | 128K | 262K |
| Input $/M | $0.30 | $1.50 |
| Output $/M | $0.90 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-4.6V: 40.2 (#128)
- Mistral Medium: 33.8 (#241)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Coding | 1390 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |

## Agentic & Tool Use

- GLM-4.6V: —
- Mistral Medium: 28.1 (#84)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- GLM-4.6V: 26.5 (#117)
- Mistral Medium: 23.3 (#165)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |

## Math

- GLM-4.6V: —
- Mistral Medium: 27.2 (#238)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1409 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- GLM-4.6V: 37.4 (#148)
- Mistral Medium: 24.9 (#260)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Expert | 1372 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |

## Multimodal

- GLM-4.6V: 34.2 (#83)
- Mistral Medium: 34.6 (#82)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Vision | 1164 | 1172 |

## Multilingual

- GLM-4.6V: 48.8 (#135)
- Mistral Medium: 52.3 (#86)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1359 | 1408 |
| LMArena Chinese | 1426 | 1448 |
| LMArena Russian | 1341 | 1411 |
| LMArena French | — | 1460 |
| LMArena German | — | 1433 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1382 |
| LMArena Spanish | — | 1433 |

## Instruction Following

- GLM-4.6V: 71.6 (#145)
- Mistral Medium: 73.9 (#111)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1351 | 1398 |

## Long Context

- GLM-4.6V: 41.3 (#138)
- Mistral Medium: 42.9 (#108)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1358 | 1406 |

## Writing & Preference

- GLM-4.6V: 56.8 (#132)
- Mistral Medium: 60.2 (#97)

| Benchmark | GLM-4.6V | Mistral Medium |
|---|---|---|
| LMArena Text | 1377 | 1424 |
| LMArena Creative Writing | 1347 | 1391 |
| LMArena Multi-Turn | 1359 | 1418 |
| Short-Story Creative Writing | — | 77.3% |

## FAQ

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

GLM-4.6V is the stronger model overall, scoring 40.9 to 36.0 on the Noometry Index.

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

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

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

GLM-4.6V scores higher on coding benchmarks: 40.2 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

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

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

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Mistral Medium has 36.