# GLM-4.7-Flash vs Magistral Small

> GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 29.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-magistral-small
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. GLM-4.7-Flash scores higher in 4 categories and Magistral Small in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.7-Flash leads 20.2 to 6.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 30% for Magistral Small.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
- GLM-4.7-Flash accepts more context: 200K tokens versus 128K.

## Snapshot

| | GLM-4.7-Flash | Magistral Small |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.4 | 29.9 |
| Rank | 175 | 289 |
| Context | 200K | 128K |
| Input $/M | $0.06 | $0.50 |
| Output $/M | $0.40 | $1.50 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Magistral Small: 37.8 (#172)

| Benchmark | GLM-4.7-Flash | Magistral Small |
|---|---|---|
| SciCode | — | 35.2% |
| LMArena Coding | 1383 | — |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Magistral Small: 6.9 (#345)

| Benchmark | GLM-4.7-Flash | Magistral Small |
|---|---|---|
| Chess Puzzles | 0% | 3% |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 6.3% |
| ARC-AGI-1 | — | 5% |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | 1356 | — |
| DTBench | — | 61.3% |
| Epoch Capabilities Index | — | 133.19 |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Magistral Small: 24.9 (#253)

| Benchmark | GLM-4.7-Flash | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 30% |
| LMArena Math | 1354 | — |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Magistral Small: 30.9 (#215)

| Benchmark | GLM-4.7-Flash | Magistral Small |
|---|---|---|
| GPQA Diamond | 60.5% | 56.1% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Magistral Small: —

| Benchmark | GLM-4.7-Flash | Magistral Small |
|---|---|---|
| LMArena Non-English | 1331 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1336 | — |
| LMArena Korean | 1284 | — |
| LMArena Russian | 1333 | — |
| LMArena Spanish | 1351 | — |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- Magistral Small: —

| Benchmark | GLM-4.7-Flash | Magistral Small |
|---|---|---|
| LMArena Instruction Following | 1327 | — |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Magistral Small: —

| Benchmark | GLM-4.7-Flash | Magistral Small |
|---|---|---|
| LMArena Longer Query | 1345 | — |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Magistral Small: —

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

## FAQ

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

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 29.9 on the Noometry Index.

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

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Magistral Small lists at $0.50 and $1.50.

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

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 37.8 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.7-Flash does, with 200K tokens against 128K.

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

3 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Magistral Small has 10.