# DeepSeek-V3.2-Speciale vs Mistral 7B

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 22.9 on the Noometry Index. Mistral 7B costs 3.4× 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-7b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 12.6.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- DeepSeek-V3.2-Speciale accepts more context: 128K tokens versus 8K.

## Snapshot

| | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.1 | 22.9 |
| Rank | 159 | 346 |
| Context | 128K | 8K |
| Input $/M | $0.58 | $0.25 |
| Output $/M | $1.68 | $0.25 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Mistral 7B: 25.9 (#321)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| WeirdML | 46.7% | — |
| BigCodeBench Instruct | — | 19.5% |
| LMArena Coding | — | 1082 |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Mistral 7B: 12.6 (#331)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| SimpleBench | 52.6% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1067 |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| Epoch Capabilities Index | — | 111.97 |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- DeepSeek-V3.2-Speciale: —
- Mistral 7B: 7.6 (#319)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| LMArena Math | — | 1085 |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Mistral 7B: 7.3 (#306)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| GPQA Diamond | — | 15.2% |
| LMArena Expert | — | 1036 |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Mistral 7B: 26.0 (#278)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| LMArena Non-English | — | 1012 |
| LMArena Chinese | — | 1009 |
| LMArena French | — | 1036 |
| LMArena German | — | 987 |
| LMArena Japanese | — | 878 |
| LMArena Russian | — | 1018 |
| LMArena Spanish | — | 1026 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Mistral 7B: 54.5 (#275)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | — | 1060 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Mistral 7B: 32.2 (#266)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| LMArena Longer Query | — | 1060 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Mistral 7B: 30.9 (#281)

| Benchmark | DeepSeek-V3.2-Speciale | Mistral 7B |
|---|---|---|
| LMArena Text | — | 1090 |
| LMArena Creative Writing | — | 1068 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1062 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Mistral 7B?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 22.9 on the Noometry Index. Mistral 7B costs 3.4× 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 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

### Is DeepSeek-V3.2-Speciale or Mistral 7B better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 25.9 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-V3.2-Speciale does, with 128K tokens against 8K.

### How many benchmarks do DeepSeek-V3.2-Speciale and Mistral 7B share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mistral 7B has 37.