# DeepSeek V4.1 Flash vs Mistral Large 4

> DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-mistral-large-4
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Mistral Large 4 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 22.5.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4.1 Flash and 27.4% for Mistral Large 4.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 52.8 | 43.1 |
| Rank | 38 | 99 |
| Context | 1M | 1.05M |
| Input $/M | $0.15 | $0.68 |
| Output $/M | $0.60 | $2.09 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4.1 Flash: 52.9 (#32)
- Mistral Large 4: 48.6 (#57)

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1619 | 1541 |
| LMArena Coding | 1506 | 1475 |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: 31.2 (#69)
- Mistral Large 4: —

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |

## Reasoning

- DeepSeek V4.1 Flash: 50.2 (#36)
- Mistral Large 4: 22.5 (#192)

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 89.6% | 27.4% |
| LMArena Hard Prompts | 1483 | 1444 |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |

## Math

- DeepSeek V4.1 Flash: 66.7 (#25)
- Mistral Large 4: 40.4 (#91)

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1477 | 1488 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |

## Knowledge

- DeepSeek V4.1 Flash: 57.9 (#38)
- Mistral Large 4: 36.6 (#166)

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1506 | 1447 |
| GPQA Diamond | 89.8% | — |
| SimpleQA Verified | — | 20% |

## Multimodal

- DeepSeek V4.1 Flash: 39.1 (#61)
- Mistral Large 4: —

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |

## Multilingual

- DeepSeek V4.1 Flash: 55.0 (#35)
- Mistral Large 4: 52.6 (#82)

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1448 | 1415 |
| LMArena Chinese | 1497 | 1491 |
| LMArena Russian | 1471 | 1414 |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Spanish | 1459 | — |

## Instruction Following

- DeepSeek V4.1 Flash: 77.3 (#26)
- Mistral Large 4: 75.0 (#76)

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1474 | 1424 |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#47)
- Mistral Large 4: 43.6 (#89)

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1475 | 1429 |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.4 (#48)
- Mistral Large 4: 60.4 (#97)

| Benchmark | DeepSeek V4.1 Flash | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1462 | 1427 |
| LMArena Creative Writing | 1435 | 1361 |
| LMArena Multi-Turn | 1457 | 1424 |
| EQ-Bench Creative Writing | 1540 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than Mistral Large 4?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.1 on the Noometry Index.

### Which is cheaper, DeepSeek V4.1 Flash or Mistral Large 4?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

### Is DeepSeek V4.1 Flash or Mistral Large 4 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 48.6 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1M.

### How many benchmarks do DeepSeek V4.1 Flash and Mistral Large 4 share?

14 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral Large 4 has 15.