# GLM-5.3-Flash vs Mistral Medium 3.5

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 39.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-mistral-medium-3-5
- 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 Medium 3.5 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 39.3.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- GLM-5.3-Flash accepts more context: 1M tokens versus 262K.

## Snapshot

| | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 49.6 | 39.6 |
| Rank | 45 | 151 |
| Context | 1M | 262K |
| Input $/M | $0.15 | $1.50 |
| Output $/M | $0.50 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-5.3-Flash: 53.7 (#26)
- Mistral Medium 3.5: 35.7 (#208)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1614 | 1263 |
| LMArena Coding | 1506 | 1461 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| SciCode | 51.6% | — |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.3 (#41)
- Mistral Medium 3.5: —

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 31.7 (#69)
- Mistral Medium 3.5: 16.6 (#290)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1436 |
| Epoch Capabilities Index | 151.9 | 141.42 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| 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 Medium 3.5: 36.4 (#113)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1499 | 1432 |
| 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 (#33)
- Mistral Medium 3.5: 39.3 (#123)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1512 | 1431 |
| GPQA Diamond | 90.2% | — |

## Multimodal

- GLM-5.3-Flash: 42.6 (#25)
- Mistral Medium 3.5: 37.6 (#64)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1304 | 1222 |

## Multilingual

- GLM-5.3-Flash: 56.2 (#24)
- Mistral Medium 3.5: 52.1 (#93)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1462 | 1405 |
| LMArena Chinese | 1529 | 1443 |
| LMArena French | 1495 | 1448 |
| LMArena German | 1457 | 1453 |
| LMArena Korean | 1443 | 1387 |
| LMArena Russian | 1472 | 1396 |
| LMArena Spanish | 1471 | 1406 |
| LMArena Japanese | 1420 | — |

## Instruction Following

- GLM-5.3-Flash: 77.8 (#17)
- Mistral Medium 3.5: 74.7 (#87)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1480 | 1414 |

## Long Context

- GLM-5.3-Flash: 45.3 (#41)
- Mistral Medium 3.5: 43.2 (#101)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1479 | 1414 |

## Writing & Preference

- GLM-5.3-Flash: 65.4 (#49)
- Mistral Medium 3.5: 58.6 (#113)

| Benchmark | GLM-5.3-Flash | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1471 | 1421 |
| LMArena Creative Writing | 1440 | 1372 |
| LMArena Multi-Turn | 1471 | 1423 |
| EQ-Bench 4 | — | 993 |

## FAQ

### Is GLM-5.3-Flash better than Mistral Medium 3.5?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 39.6 on the Noometry Index.

### Which is cheaper, GLM-5.3-Flash or Mistral Medium 3.5?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

### Is GLM-5.3-Flash or Mistral Medium 3.5 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 35.7 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 Medium 3.5 share?

19 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Mistral Medium 3.5 has 22.
