# GLM-5.3 vs Mistral Medium 3.5

> GLM-5.3 is the stronger model overall, scoring 54.6 to 39.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-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 scores higher in 8 categories and Mistral Medium 3.5 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.3 leads 45.2 to 16.6.
- The biggest single-benchmark swing is NYT Connections (extended): 74.2% for GLM-5.3 and 12.9% for Mistral Medium 3.5.
- GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- GLM-5.3 accepts more context: 1M tokens versus 262K.

## Snapshot

| | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 54.6 | 39.6 |
| Rank | 25 | 151 |
| Context | 1M | 262K |
| Input $/M | $1.40 | $1.50 |
| Output $/M | $4.40 | $7.50 |
| Weights | Open | Open |

## Coding

- GLM-5.3: 59.0 (#12)
- Mistral Medium 3.5: 35.7 (#208)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1623 | 1263 |
| LMArena Coding | 1499 | 1461 |
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| WeirdML | 75.4% | — |
| ALE-Bench | 1,317 | — |

## Agentic & Tool Use

- GLM-5.3: 36.3 (#34)
- Mistral Medium 3.5: —

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| APEX-Agents | 56.6% | — |
| Vending-Bench 2 | 8,164 | — |

## Reasoning

- GLM-5.3: 45.2 (#42)
- Mistral Medium 3.5: 16.6 (#290)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| NYT Connections (extended) | 74.2% | 12.9% |
| LMArena Hard Prompts | 1491 | 1436 |
| Epoch Capabilities Index | 155.56 | 141.42 |
| Kagi LLM Benchmark | — | 41.4% |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |

## Math

- GLM-5.3: 62.1 (#27)
- Mistral Medium 3.5: 36.4 (#113)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1493 | 1432 |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| ProofBench | 49% | — |

## Knowledge

- GLM-5.3: 58.3 (#34)
- Mistral Medium 3.5: 39.3 (#123)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1512 | 1431 |
| GPQA Diamond | 90.9% | — |
| SimpleQA Verified | 41% | — |

## Multimodal

- GLM-5.3: —
- Mistral Medium 3.5: 37.6 (#64)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |

## Multilingual

- GLM-5.3: 55.9 (#27)
- Mistral Medium 3.5: 52.1 (#93)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1457 | 1405 |
| LMArena Chinese | 1523 | 1443 |
| LMArena French | 1499 | 1448 |
| LMArena German | 1505 | 1453 |
| LMArena Korean | 1478 | 1387 |
| LMArena Russian | 1460 | 1396 |
| LMArena Spanish | 1444 | 1406 |
| LMArena Japanese | 1438 | — |

## Instruction Following

- GLM-5.3: 77.8 (#15)
- Mistral Medium 3.5: 74.7 (#87)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1481 | 1414 |

## Long Context

- GLM-5.3: 45.5 (#32)
- Mistral Medium 3.5: 43.2 (#101)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1485 | 1414 |

## Writing & Preference

- GLM-5.3: 75.9 (#6)
- Mistral Medium 3.5: 58.6 (#113)

| Benchmark | GLM-5.3 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1473 | 1421 |
| LMArena Creative Writing | 1459 | 1372 |
| LMArena Multi-Turn | 1473 | 1423 |
| EQ-Bench Creative Writing | 2075 | — |
| EQ-Bench 4 | — | 993 |

## FAQ

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

GLM-5.3 is the stronger model overall, scoring 54.6 to 39.6 on the Noometry Index.

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

GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

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

GLM-5.3 scores higher on coding benchmarks: 59.0 versus 35.7 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do GLM-5.3 and Mistral Medium 3.5 share?

19 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and Mistral Medium 3.5 has 22.