# GLM-4.7-Flash vs Ministral 8B

> GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 28.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-ministral-8b
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. GLM-4.7-Flash scores higher in 8 categories and Ministral 8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7-Flash leads 35.5 to 12.6.
- The biggest single-benchmark swing is GPQA Diamond: 60.5% for GLM-4.7-Flash and 27.1% for Ministral 8B.
- Both cost about the same: $0.06 input and $0.40 output per million tokens.
- Ministral 8B accepts more context: 262K tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 28.2 |
| Rank | 180 | 325 |
| Context | 200K | 262K |
| Input $/M | $0.06 | $0.15 |
| Output $/M | $0.40 | $0.15 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Ministral 8B: 35.0 (#230)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| LMArena Coding | 1383 | 1202 |

## Agentic & Tool Use

- GLM-4.7-Flash: —
- Ministral 8B: 16.4 (#148)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 11.1% |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Ministral 8B: 18.4 (#281)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1191 |
| Chess Puzzles | 0% | — |
| DTBench | — | 45.7% |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Ministral 8B: 25.7 (#267)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| LMArena Math | 1355 | 1188 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| MATH Level 5 | — | 14.9% |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Ministral 8B: 12.6 (#297)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| GPQA Diamond | 60.5% | 27.1% |
| Vectara Hallucination Rate | 9.3% | 7.4% |
| LMArena Expert | 1357 | 1170 |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Ministral 8B: 35.1 (#247)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1330 | 1165 |
| LMArena Chinese | 1403 | 1193 |
| LMArena Russian | 1332 | 1195 |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Spanish | 1350 | — |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Ministral 8B: 60.5 (#250)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1327 | 1161 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Ministral 8B: 36.7 (#227)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1345 | 1212 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Ministral 8B: 39.6 (#246)

| Benchmark | GLM-4.7-Flash | Ministral 8B |
|---|---|---|
| LMArena Text | 1351 | 1191 |
| LMArena Creative Writing | 1297 | 1175 |
| LMArena Multi-Turn | 1342 | 1166 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Ministral 8B?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 28.2 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or Ministral 8B?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Ministral 8B lists at $0.15 and $0.15.

### Is GLM-4.7-Flash or Ministral 8B better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 35.0 in the Noometry coding category.

### Which has the bigger context window?

Ministral 8B does, with 262K tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Ministral 8B share?

14 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Ministral 8B has 17.