# GLM-4.7 vs Mistral Medium 3.5

> GLM-4.7 is the stronger model overall, scoring 41.7 to 39.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-mistral-medium-3-5
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.7 scores higher in 6 categories and Mistral Medium 3.5 in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.7 leads 43.6 to 35.7.
- GLM-4.7 is cheaper at $0.60 / $2.20 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 205K.

## Snapshot

| | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.7 | 39.6 |
| Rank | 117 | 151 |
| Context | 205K | 262K |
| Input $/M | $0.60 | $1.50 |
| Output $/M | $2.20 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-4.7: 43.6 (#74)
- Mistral Medium 3.5: 35.7 (#208)

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1435 | 1263 |
| LMArena Coding | 1454 | 1461 |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |

## Agentic & Tool Use

- GLM-4.7: 26.4 (#96)
- Mistral Medium 3.5: —

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |

## Reasoning

- GLM-4.7: 23.7 (#161)
- Mistral Medium 3.5: 16.6 (#290)

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1436 |
| Epoch Capabilities Index | 143.53 | 141.42 |
| SimpleBench | 47.7% | — |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |

## Math

- GLM-4.7: 37.7 (#92)
- Mistral Medium 3.5: 36.4 (#113)

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1423 | 1432 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GLM-4.7: 47.0 (#74)
- Mistral Medium 3.5: 39.3 (#123)

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1424 | 1431 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |

## Multimodal

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

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

## Multilingual

- GLM-4.7: 53.0 (#75)
- Mistral Medium 3.5: 52.1 (#93)

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1417 | 1405 |
| LMArena Chinese | 1495 | 1443 |
| LMArena French | 1432 | 1448 |
| LMArena German | 1426 | 1453 |
| LMArena Korean | 1401 | 1387 |
| LMArena Russian | 1423 | 1396 |
| LMArena Spanish | 1433 | 1406 |
| LMArena Japanese | 1439 | — |

## Instruction Following

- GLM-4.7: 74.6 (#90)
- Mistral Medium 3.5: 74.7 (#87)

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1414 |

## Long Context

- GLM-4.7: 42.8 (#111)
- Mistral Medium 3.5: 43.2 (#101)

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1432 | 1414 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |

## Writing & Preference

- GLM-4.7: 61.1 (#89)
- Mistral Medium 3.5: 58.6 (#113)

| Benchmark | GLM-4.7 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1436 | 1421 |
| LMArena Creative Writing | 1401 | 1372 |
| LMArena Multi-Turn | 1446 | 1423 |
| EQ-Bench Creative Writing | 1413 | — |
| EQ-Bench 4 | — | 993 |

## FAQ

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

GLM-4.7 is the stronger model overall, scoring 41.7 to 39.6 on the Noometry Index.

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

GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

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

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 35.7 in the Noometry coding category.

### Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 205K.

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

18 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Mistral Medium 3.5 has 22.