# DeepSeek-V3.2-Speciale vs Mistral Small 3.2

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 6.4× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-mistral-small-3-2
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 2 categories and Mistral Small 3.2 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 18.1.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Mistral Small 3.2 accepts more context: 256K tokens versus 128K.

## Snapshot

| | DeepSeek-V3.2-Speciale | Mistral Small 3.2 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.7 | 31.2 |
| Rank | 162 | 280 |
| Context | 128K | 256K |
| Input $/M | $0.58 | $0.0938 |
| Output $/M | $1.68 | $0.25 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 40.4 (#140)
- Mistral Small 3.2: —

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Small 3.2 |
|---|---|---|
| WeirdML | 46.7% | — |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.9 (#73)
- Mistral Small 3.2: 18.1 (#287)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Small 3.2 |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| Epoch Capabilities Index | — | 131.74 |

## Math

- DeepSeek-V3.2-Speciale: —
- Mistral Small 3.2: 26.3 (#260)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Mistral Small 3.2: 26.7 (#256)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.0 (#222)
- Mistral Small 3.2: 45.0 (#224)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1255 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Mistral Small 3.2?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 6.4× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.2-Speciale or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

### Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 128K.

### How many benchmarks do DeepSeek-V3.2-Speciale and Mistral Small 3.2 share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mistral Small 3.2 has 6.