# GLM-4.6 vs Mistral Small 3.1

> GLM-4.6 is the stronger model overall, scoring 40.9 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 2.5× 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-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and Mistral Small 3.1 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.3 to 37.2.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- GLM-4.6 accepts more context: 205K tokens versus 128K.

## Snapshot

| | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 40.9 | 31.4 |
| Rank | 132 | 263 |
| Context | 205K | 128K |
| Input $/M | $0.60 | $0.35 |
| Output $/M | $2.20 | $0.56 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 39.9 (#137)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1449 | 1309 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.1 (#60)
- Mistral Small 3.1: —

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.1 (#168)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1278 |
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | — | 1% |
| Epoch Capabilities Index | — | 127.48 |

## Math

- GLM-4.6: 36.4 (#115)
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 1431 | 1261 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 39.6 (#118)
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1432 | 1258 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| Vectara Hallucination Rate | 9.5% | — |
| GPQA (HELM) | — | 39.2% |

## Multimodal

- GLM-4.6: —
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |

## Multilingual

- GLM-4.6: 53.6 (#62)
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1426 | 1255 |
| LMArena Chinese | 1500 | 1254 |
| LMArena French | 1459 | 1270 |
| LMArena German | 1447 | 1266 |
| LMArena Japanese | 1394 | 1210 |
| LMArena Korean | 1401 | 1206 |
| LMArena Russian | 1418 | 1263 |
| LMArena Spanish | 1436 | 1283 |

## Instruction Following

- GLM-4.6: 74.5 (#93)
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1410 | 1264 |
| IFEval | — | 75% |

## Long Context

- GLM-4.6: 43.4 (#91)
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1423 | 1300 |

## Writing & Preference

- GLM-4.6: 61.3 (#86)
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | GLM-4.6 | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1440 | 1278 |
| LMArena Creative Writing | 1411 | 1253 |
| EQ-Bench Creative Writing | 1411 | 761 |
| LMArena Multi-Turn | 1427 | 1270 |
| WildBench | — | 78.8% |

## FAQ

### Is GLM-4.6 better than Mistral Small 3.1?

GLM-4.6 is the stronger model overall, scoring 40.9 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 2.5× 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 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

### Is GLM-4.6 or Mistral Small 3.1 better for coding?

GLM-4.6 scores higher on coding benchmarks: 39.9 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 128K.

### How many benchmarks do GLM-4.6 and Mistral Small 3.1 share?

18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Mistral Small 3.1 has 28.