# GLM-4.5 vs Mistral Small 3.2

> GLM-4.5 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-4.5's lead doesn't matter for your workload.

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

## Summary

- They share 2 benchmarks with published results for both. GLM-4.5 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 math, where GLM-4.5 leads 39.0 to 26.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 40.4% 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-4.5.
- Mistral Small 3.2 accepts more context: 256K tokens versus 131K.

## Snapshot

| | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 31.2 |
| Rank | 122 | 280 |
| Context | 131K | 256K |
| Input $/M | $0.60 | $0.0938 |
| Output $/M | $2.20 | $0.25 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.4 (#125)
- Mistral Small 3.2: —

| Benchmark | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 28.6 (#100)
- Mistral Small 3.2: 18.1 (#287)

| Benchmark | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 40.4% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1429 | — |
| Epoch Capabilities Index | — | 131.74 |

## Math

- GLM-4.5: 39.0 (#116)
- Mistral Small 3.2: 26.3 (#260)

| Benchmark | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1427 | — |

## Knowledge

- GLM-4.5: 35.9 (#179)
- Mistral Small 3.2: 26.7 (#256)

| Benchmark | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |

## Multilingual

- GLM-4.5: 52.8 (#77)
- Mistral Small 3.2: —

| Benchmark | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- Mistral Small 3.2: —

| Benchmark | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1404 | — |

## Long Context

- GLM-4.5: 38.2 (#201)
- Mistral Small 3.2: —

| Benchmark | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1412 | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- Mistral Small 3.2: 45.0 (#224)

| Benchmark | GLM-4.5 | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1343 | 1255 |
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| LMArena Multi-Turn | 1415 | — |

## FAQ

### Is GLM-4.5 better than Mistral Small 3.2?

GLM-4.5 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-4.5's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5 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-4.5 lists at $0.60 and $2.20.

### Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 131K.

### How many benchmarks do GLM-4.5 and Mistral Small 3.2 share?

2 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mistral Small 3.2 has 6.