# Chatgpt 4o Latest 20250326 vs Mistral Medium 3.5

> Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 39.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/chatgpt-4o-vs-mistral-medium-3-5
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 5 categories and Mistral Medium 3.5 in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Chatgpt 4o Latest 20250326 leads 32.8 to 16.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 75% for Chatgpt 4o Latest 20250326 and 41.4% for Mistral Medium 3.5.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 43.2 | 39.6 |
| Rank | 84 | 151 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Proprietary | Open |

## Coding

- Chatgpt 4o Latest 20250326: 41.0 (#122)
- Mistral Medium 3.5: 35.7 (#208)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1413 | 1461 |
| LMArena WebDev | — | 1263 |

## Reasoning

- Chatgpt 4o Latest 20250326: 32.8 (#64)
- Mistral Medium 3.5: 16.6 (#290)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 75% | 41.4% |
| LMArena Hard Prompts | 1424 | 1436 |
| NYT Connections (extended) | — | 12.9% |
| Epoch Capabilities Index | — | 141.42 |

## Math

- Chatgpt 4o Latest 20250326: 35.8 (#134)
- Mistral Medium 3.5: 36.4 (#113)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1407 | 1432 |

## Knowledge

- Chatgpt 4o Latest 20250326: 38.7 (#131)
- Mistral Medium 3.5: 39.3 (#123)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1400 | 1431 |
| Confabulations | 16.6% | — |

## Multimodal

- Chatgpt 4o Latest 20250326: 38.9 (#54)
- Mistral Medium 3.5: 37.6 (#64)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1243 | 1222 |

## Multilingual

- Chatgpt 4o Latest 20250326: 53.1 (#72)
- Mistral Medium 3.5: 52.1 (#93)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1419 | 1405 |
| LMArena Chinese | 1456 | 1443 |
| LMArena French | 1447 | 1448 |
| LMArena German | 1424 | 1453 |
| LMArena Korean | 1397 | 1387 |
| LMArena Russian | 1429 | 1396 |
| LMArena Spanish | 1435 | 1406 |
| LMArena Japanese | 1406 | — |

## Instruction Following

- Chatgpt 4o Latest 20250326: 74.2 (#102)
- Mistral Medium 3.5: 74.7 (#87)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1403 | 1414 |

## Long Context

- Chatgpt 4o Latest 20250326: 43.1 (#104)
- Mistral Medium 3.5: 43.2 (#101)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1413 | 1414 |

## Writing & Preference

- Chatgpt 4o Latest 20250326: 62.8 (#68)
- Mistral Medium 3.5: 58.6 (#113)

| Benchmark | Chatgpt 4o Latest 20250326 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1429 | 1421 |
| LMArena Creative Writing | 1406 | 1372 |
| LMArena Multi-Turn | 1454 | 1423 |
| EQ-Bench Creative Writing | 1501 | — |
| EQ-Bench 4 | — | 993 |

## FAQ

### Is Chatgpt 4o Latest 20250326 better than Mistral Medium 3.5?

Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 39.6 on the Noometry Index.

### Is Chatgpt 4o Latest 20250326 or Mistral Medium 3.5 better for coding?

Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.0 versus 35.7 in the Noometry coding category.

### How many benchmarks do Chatgpt 4o Latest 20250326 and Mistral Medium 3.5 share?

18 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Mistral Medium 3.5 has 22.
