# GLM-5.3-Flash vs Mistral Large 3

> GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 39.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-mistral-large-3
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and Mistral Large 3 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 15.2.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
- GLM-5.3-Flash accepts more context: 1M tokens versus 262K.

## Snapshot

| | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 51.8 | 39.1 |
| Rank | 41 | 176 |
| Context | 1M | 262K |
| Input $/M | $0.15 | $0.25 |
| Output $/M | $0.50 | $0.75 |
| Weights | Open | Open |

## Coding

- GLM-5.3-Flash: 53.1 (#31)
- Mistral Large 3: 34.4 (#237)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1609 | 1230 |
| LMArena Coding | 1508 | 1448 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| FrontierSWE | 18.1% | — |
| SciCode | 51.6% | — |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.2 (#47)
- Mistral Large 3: —

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 48.0 (#42)
- Mistral Large 3: 15.2 (#319)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1491 | 1429 |
| ARC-AGI-2 | 65.8% | — |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| ARC-AGI-1 | 91% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Thematic Generalization | — | 23% |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 151.88 | — |

## Math

- GLM-5.3-Flash: 53.3 (#47)
- Mistral Large 3: 38.7 (#129)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1500 | 1414 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |

## Knowledge

- GLM-5.3-Flash: 58.4 (#36)
- Mistral Large 3: 36.0 (#177)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1513 | 1421 |
| GPQA Diamond | 90.2% | — |
| Vectara Hallucination Rate | — | 14.5% |

## Multimodal

- GLM-5.3-Flash: 42.8 (#27)
- Mistral Large 3: 38.2 (#66)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1296 | 1221 |

## Multilingual

- GLM-5.3-Flash: 56.0 (#25)
- Mistral Large 3: 52.5 (#84)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1462 | 1413 |
| LMArena Chinese | 1527 | 1447 |
| LMArena French | 1496 | 1455 |
| LMArena German | 1470 | 1437 |
| LMArena Japanese | 1429 | 1394 |
| LMArena Korean | 1446 | 1384 |
| LMArena Russian | 1469 | 1411 |
| LMArena Spanish | 1471 | 1440 |

## Instruction Following

- GLM-5.3-Flash: 77.5 (#20)
- Mistral Large 3: 74.0 (#108)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1478 | 1403 |

## Long Context

- GLM-5.3-Flash: 45.4 (#39)
- Mistral Large 3: 43.1 (#105)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1482 | 1413 |

## Writing & Preference

- GLM-5.3-Flash: 65.3 (#50)
- Mistral Large 3: 60.0 (#101)

| Benchmark | GLM-5.3-Flash | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1471 | 1428 |
| LMArena Creative Writing | 1442 | 1386 |
| LMArena Multi-Turn | 1467 | 1429 |
| EQ-Bench Creative Writing | — | 1412 |

## FAQ

### Is GLM-5.3-Flash better than Mistral Large 3?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 39.1 on the Noometry Index.

### Which is cheaper, GLM-5.3-Flash or Mistral Large 3?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

### Is GLM-5.3-Flash or Mistral Large 3 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 34.4 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 262K.

### How many benchmarks do GLM-5.3-Flash and Mistral Large 3 share?

19 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Mistral Large 3 has 24.