# GLM-4.6 vs Mistral Small 3.2

> GLM-4.6 is the stronger model overall, scoring 40.9 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 7.5× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GLM-4.6 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 writing & preference, where GLM-4.6 leads 61.3 to 45.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 47.4% for GLM-4.6 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-4.6.
- Mistral Small 3.2 accepts more context: 256K tokens versus 205K.

## Snapshot

| | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 40.9 | 30.8 |
| Rank | 132 | 271 |
| Context | 205K | 256K |
| Input $/M | $0.60 | $0.0938 |
| Output $/M | $2.20 | $0.25 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 39.9 (#137)
- Mistral Small 3.2: —

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| LMArena Coding | 1449 | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.1 (#60)
- Mistral Small 3.2: —

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.1 (#168)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 47.4% | 40.4% |
| CritPt | 1.1% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1440 | — |
| Epoch Capabilities Index | — | 131.73 |

## Math

- GLM-4.6: 36.4 (#115)
- Mistral Small 3.2: 24.9 (#251)

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1431 | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 39.6 (#118)
- Mistral Small 3.2: 26.8 (#249)

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| Vectara Hallucination Rate | 9.5% | — |
| LMArena Expert | 1432 | — |

## Multilingual

- GLM-4.6: 53.6 (#62)
- Mistral Small 3.2: —

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1426 | — |
| LMArena Chinese | 1500 | — |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1418 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.5 (#93)
- Mistral Small 3.2: —

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1410 | — |

## Long Context

- GLM-4.6: 43.4 (#91)
- Mistral Small 3.2: —

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1423 | — |

## Writing & Preference

- GLM-4.6: 61.3 (#86)
- Mistral Small 3.2: 45.1 (#219)

| Benchmark | GLM-4.6 | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1411 | 1255 |
| LMArena Text | 1440 | — |
| LMArena Creative Writing | 1411 | — |
| LMArena Multi-Turn | 1427 | — |

## FAQ

### Is GLM-4.6 better than Mistral Small 3.2?

GLM-4.6 is the stronger model overall, scoring 40.9 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 7.5× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.6 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-4.6 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-4.6 and Mistral Small 3.2 share?

2 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Mistral Small 3.2 has 6.