# GLM-4.7-Flash vs Magistral Medium

> GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 35.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-magistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.7-Flash leads 20.9 to 8.6.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $5 for Magistral Medium.
- Magistral Medium accepts more context: 262K tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 35.2 |
| Rank | 180 | 227 |
| Context | 200K | 262K |
| Input $/M | $0.06 | $2 |
| Output $/M | $0.40 | $5 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Magistral Medium: 39.1 (#161)

| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Coding | 1383 | 1319 |
| SciCode | — | 39.2% |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Magistral Medium: 8.6 (#348)

| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1267 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Magistral Medium: 35.1 (#189)

| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Math | 1355 | 1250 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Magistral Medium: 33.5 (#202)

| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Expert | 1357 | 1223 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Magistral Medium: 39.6 (#224)

| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1330 | 1232 |
| LMArena Chinese | 1403 | 1227 |
| LMArena French | 1332 | 1267 |
| LMArena German | 1337 | 1248 |
| LMArena Korean | 1283 | 1125 |
| LMArena Russian | 1332 | 1224 |
| LMArena Spanish | 1350 | 1271 |
| LMArena Japanese | — | 1175 |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Magistral Medium: 66.0 (#211)

| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1327 | 1254 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Magistral Medium: 39.3 (#183)

| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1345 | 1295 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Magistral Medium: 46.3 (#219)

| Benchmark | GLM-4.7-Flash | Magistral Medium |
|---|---|---|
| LMArena Text | 1351 | 1255 |
| LMArena Creative Writing | 1297 | 1245 |
| LMArena Multi-Turn | 1342 | 1275 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Magistral Medium?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 35.2 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or Magistral Medium?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Magistral Medium lists at $2 and $5.

### Is GLM-4.7-Flash or Magistral Medium better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 39.1 in the Noometry coding category.

### Which has the bigger context window?

Magistral Medium does, with 262K tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Magistral Medium share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Magistral Medium has 22.