# GLM-4.6 vs Magistral Medium

> GLM-4.6 is the stronger model overall, scoring 41.4 to 35.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-magistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and Magistral Medium in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6 leads 23.7 to 8.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 47.4% for GLM-4.6 and 16.2% for Magistral Medium.
- GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $2 / $5 for Magistral Medium.
- Magistral Medium accepts more context: 262K tokens versus 205K.

## Snapshot

| | GLM-4.6 | Magistral Medium |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.4 | 35.2 |
| Rank | 135 | 227 |
| Context | 205K | 262K |
| Input $/M | $0.60 | $2 |
| Output $/M | $2.20 | $5 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 40.1 (#148)
- Magistral Medium: 39.1 (#161)

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| SciCode | 38.4% | 39.2% |
| LMArena Coding | 1449 | 1319 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1340 | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.3 (#66)
- Magistral Medium: —

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.7 (#172)
- Magistral Medium: 8.6 (#348)

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 47.4% | 16.2% |
| CritPt | 1.1% | 0.3% |
| LMArena Hard Prompts | 1440 | 1267 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 6.1% |

## Math

- GLM-4.6: 39.1 (#111)
- Magistral Medium: 35.1 (#189)

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| LMArena Math | 1432 | 1250 |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 40.2 (#124)
- Magistral Medium: 33.5 (#202)

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| LMArena Expert | 1431 | 1223 |
| Vectara Hallucination Rate | 9.5% | — |

## Multilingual

- GLM-4.6: 53.5 (#66)
- Magistral Medium: 39.6 (#224)

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1426 | 1232 |
| LMArena Chinese | 1499 | 1227 |
| LMArena French | 1459 | 1267 |
| LMArena German | 1447 | 1248 |
| LMArena Japanese | 1393 | 1175 |
| LMArena Korean | 1400 | 1125 |
| LMArena Russian | 1419 | 1224 |
| LMArena Spanish | 1436 | 1271 |

## Instruction Following

- GLM-4.6: 74.3 (#98)
- Magistral Medium: 66.0 (#211)

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1410 | 1254 |

## Long Context

- GLM-4.6: 43.4 (#94)
- Magistral Medium: 39.3 (#183)

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1422 | 1295 |

## Writing & Preference

- GLM-4.6: 61.1 (#90)
- Magistral Medium: 46.3 (#219)

| Benchmark | GLM-4.6 | Magistral Medium |
|---|---|---|
| LMArena Text | 1440 | 1255 |
| LMArena Creative Writing | 1411 | 1245 |
| LMArena Multi-Turn | 1427 | 1275 |
| EQ-Bench Creative Writing | 1411 | — |

## FAQ

### Is GLM-4.6 better than Magistral Medium?

GLM-4.6 is the stronger model overall, scoring 41.4 to 35.2 on the Noometry Index.

### Which is cheaper, GLM-4.6 or Magistral Medium?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Magistral Medium lists at $2 and $5.

### Is GLM-4.6 or Magistral Medium better for coding?

They score almost the same on coding (40.1 vs 39.1); test both on your own repository before choosing.

### Which has the bigger context window?

Magistral Medium does, with 262K tokens against 205K.

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

20 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Magistral Medium has 22.