# DeepSeek V4 Flash vs Mistral Small 3.1

> DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 31.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-flash-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Mistral Small 3.1 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 14.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for DeepSeek V4 Flash and 3.9% for Mistral Small 3.1.
- DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
- DeepSeek V4 Flash accepts more context: 1M tokens versus 128K.

## Snapshot

| | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 53.6 | 31.7 |
| Rank | 35 | 269 |
| Context | 1M | 128K |
| Input $/M | $0.15 | $0.35 |
| Output $/M | $0.60 | $0.56 |
| Weights | Open | Open |

## Coding

- DeepSeek V4 Flash: 47.9 (#59)
- Mistral Small 3.1: 38.3 (#179)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1457 | 1309 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |

## Reasoning

- DeepSeek V4 Flash: 53.7 (#30)
- Mistral Small 3.1: 19.7 (#254)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 33% | 1% |
| LMArena Hard Prompts | 1444 | 1278 |
| Epoch Capabilities Index | 154.49 | 127.48 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |

## Math

- DeepSeek V4 Flash: 60.3 (#37)
- Mistral Small 3.1: 14.7 (#301)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.4% | 3.9% |
| LMArena Math | 1427 | 1262 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| ProofBench | 56% | — |
| Omni-MATH | — | 24.8% |

## Knowledge

- DeepSeek V4 Flash: 55.4 (#48)
- Mistral Small 3.1: 22.6 (#271)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 91% | 41.9% |
| LMArena Expert | 1441 | 1257 |
| SimpleQA Verified | 33.6% | — |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |

## Multimodal

- DeepSeek V4 Flash: —
- Mistral Small 3.1: 33.2 (#99)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |

## Multilingual

- DeepSeek V4 Flash: 53.0 (#72)
- Mistral Small 3.1: 41.2 (#209)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1420 | 1255 |
| LMArena Chinese | 1468 | 1253 |
| LMArena French | 1439 | 1273 |
| LMArena German | 1418 | 1266 |
| LMArena Japanese | 1406 | 1208 |
| LMArena Korean | 1384 | 1206 |
| LMArena Russian | 1428 | 1263 |
| LMArena Spanish | 1436 | 1283 |

## Instruction Following

- DeepSeek V4 Flash: 74.9 (#81)
- Mistral Small 3.1: 63.6 (#230)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1421 | 1264 |
| IFEval | — | 75% |

## Long Context

- DeepSeek V4 Flash: 43.8 (#85)
- Mistral Small 3.1: 39.5 (#178)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1434 | 1299 |

## Writing & Preference

- DeepSeek V4 Flash: 63.8 (#61)
- Mistral Small 3.1: 37.0 (#259)

| Benchmark | DeepSeek V4 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1432 | 1277 |
| LMArena Creative Writing | 1403 | 1253 |
| EQ-Bench Creative Writing | 1559 | 761 |
| LMArena Multi-Turn | 1449 | 1270 |
| WildBench | — | 78.8% |

## FAQ

### Is DeepSeek V4 Flash better than Mistral Small 3.1?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 31.7 on the Noometry Index.

### Which is cheaper, DeepSeek V4 Flash or Mistral Small 3.1?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

### Is DeepSeek V4 Flash or Mistral Small 3.1 better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 38.3 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4 Flash does, with 1M tokens against 128K.

### How many benchmarks do DeepSeek V4 Flash and Mistral Small 3.1 share?

22 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Mistral Small 3.1 has 28.