# GLM-4.5 vs Mistral Medium

> GLM-4.5 is the stronger model overall, scoring 41.4 to 36.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-mistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. GLM-4.5 scores higher in 6 categories and Mistral Medium in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5 leads 35.5 to 24.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 50% for Mistral Medium.
- GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 131K.

## Snapshot

| | GLM-4.5 | Mistral Medium |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.4 | 36.0 |
| Rank | 125 | 211 |
| Context | 131K | 262K |
| Input $/M | $0.60 | $1.50 |
| Output $/M | $2.20 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.1 (#121)
- Mistral Medium: 33.8 (#241)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| WeirdML | 40.6% | 43.7% |
| LMArena Coding | 1434 | 1434 |
| ALE-Bench | 344.82 | 763.98 |
| FrontierCode | — | 8% |
| SWE-bench Verified (bash only) | 54.2% | — |
| SciCode | — | 40.2% |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- GLM-4.5: —
- Mistral Medium: 28.1 (#84)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- GLM-4.5: 27.7 (#99)
- Mistral Medium: 23.3 (#165)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 50% |
| LMArena Hard Prompts | 1430 | 1426 |
| CritPt | — | 0% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |

## Math

- GLM-4.5: 36.3 (#119)
- Mistral Medium: 27.2 (#238)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| LMArena Math | 1427 | 1409 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- GLM-4.5: 35.5 (#172)
- Mistral Medium: 24.9 (#260)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| Humanity's Last Exam | 8.3% | 4.5% |
| LMArena Expert | 1433 | 1408 |
| GPQA Diamond | — | 59.5% |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 22.7% |

## Multimodal

- GLM-4.5: —
- Mistral Medium: 34.6 (#82)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |

## Multilingual

- GLM-4.5: 53.0 (#74)
- Mistral Medium: 52.3 (#86)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1417 | 1408 |
| LMArena Chinese | 1465 | 1448 |
| LMArena French | 1423 | 1460 |
| LMArena German | 1406 | 1433 |
| LMArena Japanese | 1416 | 1378 |
| LMArena Korean | 1382 | 1382 |
| LMArena Russian | 1414 | 1411 |
| LMArena Spanish | 1454 | 1433 |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- Mistral Medium: 73.9 (#111)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1405 | 1398 |

## Long Context

- GLM-4.5: 38.2 (#196)
- Mistral Medium: 42.9 (#108)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1413 | 1406 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- Mistral Medium: 60.2 (#97)

| Benchmark | GLM-4.5 | Mistral Medium |
|---|---|---|
| LMArena Text | 1430 | 1424 |
| LMArena Creative Writing | 1395 | 1391 |
| Short-Story Creative Writing | 73.4% | 77.3% |
| LMArena Multi-Turn | 1415 | 1418 |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

### Is GLM-4.5 better than Mistral Medium?

GLM-4.5 is the stronger model overall, scoring 41.4 to 36.0 on the Noometry Index.

### Which is cheaper, GLM-4.5 or Mistral Medium?

GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Mistral Medium lists at $1.50 and $7.50.

### Is GLM-4.5 or Mistral Medium better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.1 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Mistral Medium does, with 262K tokens against 131K.

### How many benchmarks do GLM-4.5 and Mistral Medium share?

22 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mistral Medium has 36.