# GLM-4.7 vs Mistral Small 3.1

> GLM-4.7 is the stronger model overall, scoring 41.7 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-4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. GLM-4.7 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 knowledge, where GLM-4.7 leads 47.0 to 22.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 83.3% for GLM-4.7 and 3.9% for Mistral Small 3.1.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- GLM-4.7 accepts more context: 205K tokens versus 128K.

## Snapshot

| | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 41.7 | 31.4 |
| Rank | 117 | 263 |
| Context | 205K | 128K |
| Input $/M | $0.60 | $0.35 |
| Output $/M | $2.20 | $0.56 |
| Weights | Open | Open |

## Coding

- GLM-4.7: 43.6 (#74)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1454 | 1309 |
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |

## Agentic & Tool Use

- GLM-4.7: 26.4 (#96)
- Mistral Small 3.1: —

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |

## Reasoning

- GLM-4.7: 23.7 (#161)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 6% | 1% |
| LMArena Hard Prompts | 1443 | 1278 |
| Epoch Capabilities Index | 143.53 | 127.48 |
| SimpleBench | 47.7% | — |
| CritPt | 1.7% | — |

## Math

- GLM-4.7: 37.7 (#92)
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 83.3% | 3.9% |
| LMArena Math | 1423 | 1261 |
| ProofBench | 6% | — |
| Omni-MATH | — | 24.8% |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GLM-4.7: 47.0 (#74)
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 83.3% | 41.9% |
| LMArena Expert | 1424 | 1258 |
| SimpleQA Verified | 32.2% | — |
| MMLU-Pro | — | 61% |
| Vectara Hallucination Rate | 11.7% | — |
| GPQA (HELM) | — | 39.2% |

## Multimodal

- GLM-4.7: —
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |

## Multilingual

- GLM-4.7: 53.0 (#75)
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1417 | 1255 |
| LMArena Chinese | 1495 | 1254 |
| LMArena French | 1432 | 1270 |
| LMArena German | 1426 | 1266 |
| LMArena Japanese | 1439 | 1210 |
| LMArena Korean | 1401 | 1206 |
| LMArena Russian | 1423 | 1263 |
| LMArena Spanish | 1433 | 1283 |

## Instruction Following

- GLM-4.7: 74.6 (#90)
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1264 |
| IFEval | — | 75% |

## Long Context

- GLM-4.7: 42.8 (#111)
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1432 | 1300 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |

## Writing & Preference

- GLM-4.7: 61.1 (#89)
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | GLM-4.7 | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1436 | 1278 |
| LMArena Creative Writing | 1401 | 1253 |
| EQ-Bench Creative Writing | 1413 | 761 |
| LMArena Multi-Turn | 1446 | 1270 |
| WildBench | — | 78.8% |

## FAQ

### Is GLM-4.7 better than Mistral Small 3.1?

GLM-4.7 is the stronger model overall, scoring 41.7 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-4.7's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.7 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-4.7 lists at $0.60 and $2.20.

### Is GLM-4.7 or Mistral Small 3.1 better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 128K.

### How many benchmarks do GLM-4.7 and Mistral Small 3.1 share?

22 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Mistral Small 3.1 has 28.