# GLM-4.7 vs Mistral Small 3.2

> GLM-4.7 is the stronger model overall, scoring 42.0 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.5× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. GLM-4.7 scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 26.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 83.3% for GLM-4.7 and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- Mistral Small 3.2 accepts more context: 256K tokens versus 205K.

## Snapshot

| | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 31.2 |
| Rank | 124 | 280 |
| Context | 205K | 256K |
| Input $/M | $0.60 | $0.0938 |
| Output $/M | $2.20 | $0.25 |
| Weights | Open | Open |

## Coding

- GLM-4.7: 44.0 (#79)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| LMArena Coding | 1454 | — |
| ALE-Bench | 399.48 | — |

## Agentic & Tool Use

- GLM-4.7: 26.5 (#103)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |

## Reasoning

- GLM-4.7: 24.3 (#164)
- Mistral Small 3.2: 18.1 (#287)

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 6% | 1% |
| Epoch Capabilities Index | 143.51 | 131.74 |
| SimpleBench | 47.7% | — |
| Kagi LLM Benchmark | — | 40.4% |
| CritPt | 1.7% | — |
| LMArena Hard Prompts | 1443 | — |

## Math

- GLM-4.7: 38.6 (#135)
- Mistral Small 3.2: 26.3 (#260)

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 83.3% | 30.3% |
| ProofBench | 6% | — |
| LMArena Math | 1423 | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GLM-4.7: 47.0 (#80)
- Mistral Small 3.2: 26.7 (#256)

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 83.3% | 49.1% |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |
| LMArena Expert | 1424 | — |

## Multilingual

- GLM-4.7: 52.8 (#79)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1495 | — |
| LMArena French | 1432 | — |
| LMArena German | 1424 | — |
| LMArena Japanese | 1439 | — |
| LMArena Korean | 1399 | — |
| LMArena Russian | 1423 | — |
| LMArena Spanish | 1434 | — |

## Instruction Following

- GLM-4.7: 74.4 (#95)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1411 | — |

## Long Context

- GLM-4.7: 42.8 (#116)
- Mistral Small 3.2: —

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
| LMArena Longer Query | 1432 | — |

## Writing & Preference

- GLM-4.7: 60.9 (#93)
- Mistral Small 3.2: 45.0 (#224)

| Benchmark | GLM-4.7 | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1413 | 1255 |
| LMArena Text | 1435 | — |
| LMArena Creative Writing | 1401 | — |
| LMArena Multi-Turn | 1446 | — |

## FAQ

### Is GLM-4.7 better than Mistral Small 3.2?

GLM-4.7 is the stronger model overall, scoring 42.0 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.5× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7 or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

### Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 205K.

### How many benchmarks do GLM-4.7 and Mistral Small 3.2 share?

5 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Mistral Small 3.2 has 6.