# GLM-4.7-Flash vs Mistral Small 3.2

> GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. GLM-4.7-Flash scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.7-Flash leads 34.4 to 24.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.06 / $0.40 for GLM-4.7-Flash.
- Mistral Small 3.2 accepts more context: 256K tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.4 | 30.8 |
| Rank | 175 | 271 |
| Context | 200K | 256K |
| Input $/M | $0.06 | $0.0938 |
| Output $/M | $0.40 | $0.25 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Coding | 1383 | — |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| Kagi LLM Benchmark | — | 40.4% |
| LMArena Hard Prompts | 1356 | — |
| Epoch Capabilities Index | — | 131.73 |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Mistral Small 3.2: 24.9 (#251)

| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 30.3% |
| LMArena Math | 1354 | — |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Mistral Small 3.2: 26.8 (#249)

| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 60.5% | 49.1% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| 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)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1327 | — |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1345 | — |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Mistral Small 3.2: 45.1 (#219)

| Benchmark | GLM-4.7-Flash | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1125 | 1255 |
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| LMArena Multi-Turn | 1342 | — |

## FAQ

### Is GLM-4.7-Flash better than Mistral Small 3.2?

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 30.8 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GLM-4.7-Flash lists at $0.06 and $0.40.

### Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Mistral Small 3.2 share?

4 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Small 3.2 has 6.