# GLM-4.7-Flash vs Mistral Medium 3.5

> Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 21× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-mistral-medium-3-5
- 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 2 categories and Mistral Medium 3.5 in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.6 to 47.7.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 38.4 | 39.6 |
| Rank | 175 | 151 |
| Context | 200K | 262K |
| Input $/M | $0.06 | $1.50 |
| Output $/M | $0.40 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- Mistral Medium 3.5: 35.7 (#208)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1383 | 1461 |
| LMArena WebDev | — | 1263 |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- Mistral Medium 3.5: 16.6 (#290)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1436 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | — | 141.42 |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- Mistral Medium 3.5: 36.4 (#113)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1354 | 1432 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- Mistral Medium 3.5: 39.3 (#123)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1357 | 1431 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multimodal

- GLM-4.7-Flash: —
- Mistral Medium 3.5: 37.6 (#64)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- Mistral Medium 3.5: 52.1 (#93)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1331 | 1405 |
| LMArena Chinese | 1403 | 1443 |
| LMArena French | 1332 | 1448 |
| LMArena German | 1336 | 1453 |
| LMArena Korean | 1284 | 1387 |
| LMArena Russian | 1333 | 1396 |
| LMArena Spanish | 1351 | 1406 |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- Mistral Medium 3.5: 74.7 (#87)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1414 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- Mistral Medium 3.5: 43.2 (#101)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1345 | 1414 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- Mistral Medium 3.5: 58.6 (#113)

| Benchmark | GLM-4.7-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1351 | 1421 |
| LMArena Creative Writing | 1297 | 1372 |
| LMArena Multi-Turn | 1342 | 1423 |
| EQ-Bench Creative Writing | 1125 | — |
| EQ-Bench 4 | — | 993 |

## FAQ

### Is GLM-4.7-Flash better than Mistral Medium 3.5?

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 21× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7-Flash or Mistral Medium 3.5?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

### Is GLM-4.7-Flash or Mistral Medium 3.5 better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 35.7 in the Noometry coding category.

### Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and Mistral Medium 3.5 share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Medium 3.5 has 22.