# DeepSeek V4.1 Flash vs Mistral Small 3.2

> DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 2.0× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 17.5.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 256K.

## Snapshot

| | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 50.3 | 30.8 |
| Rank | 40 | 271 |
| Context | 1M | 256K |
| Input $/M | $0.15 | $0.0938 |
| Output $/M | $0.60 | $0.25 |
| Weights | Open | Open |

## Coding

- DeepSeek V4.1 Flash: 52.8 (#29)
- Mistral Small 3.2: —

| Benchmark | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1620 | — |
| SciCode | 51.9% | — |
| LMArena Coding | 1511 | — |
| ALE-Bench | 1,092 | — |

## Reasoning

- DeepSeek V4.1 Flash: 46.2 (#39)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| Epoch Capabilities Index | 155.01 | 131.73 |
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1485 | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |

## Math

- DeepSeek V4.1 Flash: 48.4 (#52)
- Mistral Small 3.2: 24.9 (#251)

| Benchmark | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| ProofBench | 54% | — |
| LMArena Math | 1493 | — |

## Knowledge

- DeepSeek V4.1 Flash: 41.6 (#97)
- Mistral Small 3.2: 26.8 (#249)

| Benchmark | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1505 | — |

## Multilingual

- DeepSeek V4.1 Flash: 55.5 (#29)
- Mistral Small 3.2: —

| Benchmark | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1452 | — |
| LMArena Chinese | 1506 | — |
| LMArena French | 1448 | — |
| LMArena Russian | 1473 | — |
| LMArena Spanish | 1499 | — |

## Instruction Following

- DeepSeek V4.1 Flash: 77.6 (#24)
- Mistral Small 3.2: —

| Benchmark | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1475 | — |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#46)
- Mistral Small 3.2: —

| Benchmark | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1476 | — |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.8 (#43)
- Mistral Small 3.2: 45.1 (#219)

| Benchmark | DeepSeek V4.1 Flash | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1540 | 1255 |
| LMArena Text | 1465 | — |
| LMArena Creative Writing | 1436 | — |
| LMArena Multi-Turn | 1460 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than Mistral Small 3.2?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 2.0× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek V4.1 Flash 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 V4.1 Flash lists at $0.15 and $0.60.

### Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 256K.

### How many benchmarks do DeepSeek V4.1 Flash and Mistral Small 3.2 share?

2 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Mistral Small 3.2 has 6.