# GLM-4.7-Flash vs Mistral Large 4

> Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 7.1× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-mistral-large-4
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 4 leads 60.4 to 47.4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.8 | 43.1 |
| Rank | 180 | 99 |
| Context | 200K | 1.05M |
| Input $/M | $0.06 | $0.68 |
| Output $/M | $0.40 | $2.09 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Mistral Large 4: 48.6 (#57)

| Benchmark | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1383 | 1475 |
| LMArena WebDev | — | 1541 |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Mistral Large 4: 22.5 (#192)

| Benchmark | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1444 |
| NYT Connections (extended) | — | 27.4% |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Mistral Large 4: 40.4 (#91)

| Benchmark | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1355 | 1488 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Mistral Large 4: 36.6 (#166)

| Benchmark | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1357 | 1447 |
| GPQA Diamond | 60.5% | — |
| SimpleQA Verified | — | 20% |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Mistral Large 4: 52.6 (#82)

| Benchmark | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1330 | 1415 |
| LMArena Chinese | 1403 | 1491 |
| LMArena Russian | 1332 | 1414 |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Spanish | 1350 | — |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Mistral Large 4: 75.0 (#76)

| Benchmark | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1424 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Mistral Large 4: 43.6 (#89)

| Benchmark | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1345 | 1429 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Mistral Large 4: 60.4 (#97)

| Benchmark | GLM-4.7-Flash | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1351 | 1427 |
| LMArena Creative Writing | 1297 | 1361 |
| LMArena Multi-Turn | 1342 | 1424 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 7.1× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7-Flash or Mistral Large 4?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

### Is GLM-4.7-Flash or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 40.6 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Mistral Large 4 share?

12 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Large 4 has 15.