# DeepSeek-V3.2-Speciale vs Mistral Medium 3.5

> DeepSeek-V3.2-Speciale and Mistral Medium 3.5 score almost the same on the Noometry Index (39.1 vs 39.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-mistral-medium-3-5
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 16.6.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 128K.

## Snapshot

| | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.1 | 39.6 |
| Rank | 159 | 151 |
| Context | 128K | 262K |
| Input $/M | $0.58 | $1.50 |
| Output $/M | $1.68 | $7.50 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Mistral Medium 3.5: 35.7 (#208)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | — | 1263 |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1461 |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Mistral Medium 3.5: 16.6 (#290)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| LMArena Hard Prompts | — | 1436 |
| Epoch Capabilities Index | — | 141.42 |

## Math

- DeepSeek-V3.2-Speciale: —
- Mistral Medium 3.5: 36.4 (#113)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | — | 1432 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Mistral Medium 3.5: 39.3 (#123)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | — | 1431 |

## Multimodal

- DeepSeek-V3.2-Speciale: —
- Mistral Medium 3.5: 37.6 (#64)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Mistral Medium 3.5: 52.1 (#93)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | — | 1405 |
| LMArena Chinese | — | 1443 |
| LMArena French | — | 1448 |
| LMArena German | — | 1453 |
| LMArena Korean | — | 1387 |
| LMArena Russian | — | 1396 |
| LMArena Spanish | — | 1406 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Mistral Medium 3.5: 74.7 (#87)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | — | 1414 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Mistral Medium 3.5: 43.2 (#101)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1414 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Mistral Medium 3.5: 58.6 (#113)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | — | 1421 |
| LMArena Creative Writing | — | 1372 |
| EQ-Bench Creative Writing | 1276 | — |
| EQ-Bench 4 | — | 993 |
| LMArena Multi-Turn | — | 1423 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Mistral Medium 3.5?

DeepSeek-V3.2-Speciale and Mistral Medium 3.5 score almost the same on the Noometry Index (39.1 vs 39.6), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.2-Speciale or Mistral Medium 3.5?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

### Is DeepSeek-V3.2-Speciale or Mistral Medium 3.5 better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 35.7 in the Noometry coding category.

### Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 128K.

### How many benchmarks do DeepSeek-V3.2-Speciale and Mistral Medium 3.5 share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mistral Medium 3.5 has 22.