# GLM-4.6 vs Mistral Small 3

> GLM-4.6 is the stronger model overall, scoring 41.4 to 31.2 on the Noometry Index. Mistral Small 3 costs 17× 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
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.1 to 32.2.
- Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
- GLM-4.6 accepts more context: 205K tokens versus 33K.

## Snapshot

| | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.4 | 31.2 |
| Rank | 135 | 278 |
| Context | 205K | 33K |
| Input $/M | $0.60 | $0.05 |
| Output $/M | $2.20 | $0.08 |
| Weights | Open | Open |

## Coding

- GLM-4.6: 40.1 (#148)
- Mistral Small 3: 36.5 (#207)

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| LMArena Coding | 1449 | 1246 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1340 | — |
| SciCode | 38.4% | — |
| BigCodeBench Instruct | — | 45.3% |
| BigCodeBench Complete | — | 50.4% |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.3 (#66)
- Mistral Small 3: —

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.7 (#172)
- Mistral Small 3: 18.9 (#273)

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1233 |
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 127.07 |

## Math

- GLM-4.6: 39.1 (#111)
- Mistral Small 3: 16.3 (#295)

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| LMArena Math | 1432 | 1240 |
| OTIS Mock AIME 2024-2025 | — | 6.7% |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 40.2 (#124)
- Mistral Small 3: 25.1 (#263)

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| LMArena Expert | 1431 | 1202 |
| GPQA Diamond | — | 47.3% |
| Confabulations | — | 25.2% |
| Vectara Hallucination Rate | 9.5% | — |

## Multilingual

- GLM-4.6: 53.5 (#66)
- Mistral Small 3: 37.3 (#236)

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1426 | 1198 |
| LMArena Chinese | 1499 | 1204 |
| LMArena French | 1459 | 1203 |
| LMArena German | 1447 | 1211 |
| LMArena Japanese | 1393 | 1111 |
| LMArena Korean | 1400 | 1188 |
| LMArena Russian | 1419 | 1216 |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.3 (#98)
- Mistral Small 3: 63.7 (#229)

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1410 | 1214 |

## Long Context

- GLM-4.6: 43.4 (#94)
- Mistral Small 3: 37.8 (#211)

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1422 | 1246 |

## Writing & Preference

- GLM-4.6: 61.1 (#90)
- Mistral Small 3: 32.2 (#280)

| Benchmark | GLM-4.6 | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1440 | 1234 |
| LMArena Creative Writing | 1411 | 1195 |
| EQ-Bench Creative Writing | 1411 | 707 |
| LMArena Multi-Turn | 1427 | 1217 |

## FAQ

### Is GLM-4.6 better than Mistral Small 3?

GLM-4.6 is the stronger model overall, scoring 41.4 to 31.2 on the Noometry Index. Mistral Small 3 costs 17× 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?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

### Is GLM-4.6 or Mistral Small 3 better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 36.5 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 33K.

### How many benchmarks do GLM-4.6 and Mistral Small 3 share?

17 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Mistral Small 3 has 24.