# GLM-5.3-Flash vs Mistral Small 3.1

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and Mistral Small 3.1 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3-Flash leads 53.1 to 13.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 3.9% for Mistral Small 3.1.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
- GLM-5.3-Flash accepts more context: 1M tokens versus 128K.

## Snapshot

| | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 49.6 | 31.4 |
| Rank | 45 | 263 |
| Context | 1M | 128K |
| Input $/M | $0.15 | $0.35 |
| Output $/M | $0.50 | $0.56 |
| Weights | Open | Open |

## Coding

- GLM-5.3-Flash: 53.7 (#26)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1506 | 1309 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| LMArena WebDev | 1614 | — |
| SciCode | 51.6% | — |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.3 (#41)
- Mistral Small 3.1: —

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 31.7 (#69)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 14% | 1% |
| LMArena Hard Prompts | 1490 | 1278 |
| Epoch Capabilities Index | 151.9 | 127.48 |
| CritPt | 15.4% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |

## Math

- GLM-5.3-Flash: 53.1 (#38)
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.9% | 3.9% |
| LMArena Math | 1499 | 1261 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 21% | — |
| Omni-MATH | — | 24.8% |

## Knowledge

- GLM-5.3-Flash: 58.4 (#33)
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 90.2% | 41.9% |
| LMArena Expert | 1512 | 1258 |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |

## Multimodal

- GLM-5.3-Flash: 42.6 (#25)
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1304 | 1136 |

## Multilingual

- GLM-5.3-Flash: 56.2 (#24)
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1462 | 1255 |
| LMArena Chinese | 1529 | 1254 |
| LMArena French | 1495 | 1270 |
| LMArena German | 1457 | 1266 |
| LMArena Japanese | 1420 | 1210 |
| LMArena Korean | 1443 | 1206 |
| LMArena Russian | 1472 | 1263 |
| LMArena Spanish | 1471 | 1283 |

## Instruction Following

- GLM-5.3-Flash: 77.8 (#17)
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1480 | 1264 |
| IFEval | — | 75% |

## Long Context

- GLM-5.3-Flash: 45.3 (#41)
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1479 | 1300 |

## Writing & Preference

- GLM-5.3-Flash: 65.4 (#49)
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | GLM-5.3-Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1471 | 1278 |
| LMArena Creative Writing | 1440 | 1253 |
| LMArena Multi-Turn | 1471 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |

## FAQ

### Is GLM-5.3-Flash better than Mistral Small 3.1?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 31.4 on the Noometry Index.

### Which is cheaper, GLM-5.3-Flash or Mistral Small 3.1?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

### Is GLM-5.3-Flash or Mistral Small 3.1 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 128K.

### How many benchmarks do GLM-5.3-Flash and Mistral Small 3.1 share?

22 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Mistral Small 3.1 has 28.