# GLM-4.7 vs Mistral Medium

> GLM-4.7 is the stronger model overall, scoring 42.0 to 36.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-mistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. GLM-4.7 scores higher in 7 categories and Mistral Medium in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 83.3% for GLM-4.7 and 32.2% for Mistral Medium.
- GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 205K.

## Snapshot

| | GLM-4.7 | Mistral Medium |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 36.3 |
| Rank | 124 | 218 |
| Context | 205K | 262K |
| Input $/M | $0.60 | $1.50 |
| Output $/M | $2.20 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-4.7: 44.0 (#79)
- Mistral Medium: 34.2 (#243)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| SciCode | 45.1% | 40.2% |
| LMArena Coding | 1454 | 1434 |
| ALE-Bench | 399.48 | 763.98 |
| FrontierCode | — | 8% |
| LMArena WebDev | 1435 | — |
| WeirdML | — | 43.7% |

## Agentic & Tool Use

- GLM-4.7: 26.5 (#103)
- Mistral Medium: 28.3 (#90)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Berkeley Function Calling Leaderboard | — | 37.7% |
| Vending-Bench 2 | 2,377 | — |

## Reasoning

- GLM-4.7: 24.3 (#164)
- Mistral Medium: 24.0 (#167)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| CritPt | 1.7% | 0% |
| LMArena Hard Prompts | 1443 | 1426 |
| SimpleBench | 47.7% | — |
| Kagi LLM Benchmark | — | 50% |
| Chess Puzzles | 6% | — |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 143.51 | — |

## Math

- GLM-4.7: 38.6 (#135)
- Mistral Medium: 28.1 (#245)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 83.3% | 32.2% |
| ProofBench | 6% | 9% |
| LMArena Math | 1423 | 1408 |
| FrontierMath (Feb 2025 set) | 2.4% | 0.3% |
| MATH Level 5 | — | 81.6% |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GLM-4.7: 47.0 (#80)
- Mistral Medium: 25.0 (#265)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| GPQA Diamond | 83.3% | 59.5% |
| Vectara Hallucination Rate | 11.7% | 22.7% |
| LMArena Expert | 1424 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| SimpleQA Verified | 32.2% | — |

## Multimodal

- GLM-4.7: —
- Mistral Medium: 35.3 (#88)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |

## Multilingual

- GLM-4.7: 52.8 (#79)
- Mistral Medium: 52.1 (#91)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1417 | 1408 |
| LMArena Chinese | 1495 | 1447 |
| LMArena French | 1432 | 1459 |
| LMArena German | 1424 | 1432 |
| LMArena Japanese | 1439 | 1378 |
| LMArena Korean | 1399 | 1380 |
| LMArena Russian | 1423 | 1411 |
| LMArena Spanish | 1434 | 1433 |

## Instruction Following

- GLM-4.7: 74.4 (#95)
- Mistral Medium: 73.7 (#116)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1411 | 1398 |

## Long Context

- GLM-4.7: 42.8 (#116)
- Mistral Medium: 42.9 (#114)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1432 | 1406 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |

## Writing & Preference

- GLM-4.7: 60.9 (#93)
- Mistral Medium: 60.0 (#103)

| Benchmark | GLM-4.7 | Mistral Medium |
|---|---|---|
| LMArena Text | 1435 | 1424 |
| LMArena Creative Writing | 1401 | 1391 |
| LMArena Multi-Turn | 1446 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
| EQ-Bench Creative Writing | 1413 | — |

## FAQ

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

GLM-4.7 is the stronger model overall, scoring 42.0 to 36.3 on the Noometry Index.

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

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

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

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 34.2 in the Noometry coding category.

### Which has the bigger context window?

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

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

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