# DeepSeek V4.1 Flash vs Mistral 7B

> DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 23.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-mistral-7b
- Last updated: 2026-10-11
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 8.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 0.3% for Mistral 7B.
- Both cost about the same: $0.15 input and $0.60 output per million tokens.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 8K.

## Snapshot

| | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 52.8 | 23.0 |
| Rank | 38 | 351 |
| Context | 1M | 8K |
| Input $/M | $0.15 | $0.25 |
| Output $/M | $0.60 | $0.25 |
| Weights | Open | Open |

## Coding

- DeepSeek V4.1 Flash: 52.9 (#32)
- Mistral 7B: 26.4 (#326)

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| LMArena Coding | 1506 | 1082 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 1,092 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: 31.2 (#69)
- Mistral 7B: —

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |

## Reasoning

- DeepSeek V4.1 Flash: 50.2 (#36)
- Mistral 7B: 13.1 (#336)

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1067 |
| DTBench | 89.9% | 42.5% |
| Epoch Capabilities Index | 154.9 | 112.21 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | — | 0% |
| Mystery Game Puzzles | 43% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- DeepSeek V4.1 Flash: 66.7 (#25)
- Mistral 7B: 8.1 (#325)

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 0.3% |
| LMArena Math | 1477 | 1085 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 54% | — |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- DeepSeek V4.1 Flash: 57.9 (#38)
- Mistral 7B: 7.4 (#311)

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| GPQA Diamond | 89.8% | 15.2% |
| LMArena Expert | 1506 | 1036 |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multimodal

- DeepSeek V4.1 Flash: 39.1 (#61)
- Mistral 7B: —

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |

## Multilingual

- DeepSeek V4.1 Flash: 55.0 (#35)
- Mistral 7B: 25.8 (#283)

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1448 | 1012 |
| LMArena Chinese | 1497 | 1009 |
| LMArena French | 1452 | 1037 |
| LMArena German | 1484 | 987 |
| LMArena Japanese | 1412 | 878 |
| LMArena Russian | 1471 | 1018 |
| LMArena Spanish | 1459 | 1026 |
| LMArena Korean | 1452 | — |

## Instruction Following

- DeepSeek V4.1 Flash: 77.3 (#26)
- Mistral 7B: 54.2 (#280)

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1474 | 1060 |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#47)
- Mistral 7B: 32.2 (#271)

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1475 | 1060 |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.4 (#48)
- Mistral 7B: 30.7 (#286)

| Benchmark | DeepSeek V4.1 Flash | Mistral 7B |
|---|---|---|
| LMArena Text | 1462 | 1090 |
| LMArena Creative Writing | 1435 | 1068 |
| LMArena Multi-Turn | 1457 | 1062 |
| EQ-Bench Creative Writing | 1540 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than Mistral 7B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 23.0 on the Noometry Index.

### Which is cheaper, DeepSeek V4.1 Flash or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.

### Is DeepSeek V4.1 Flash or Mistral 7B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 26.4 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 8K.

### How many benchmarks do DeepSeek V4.1 Flash and Mistral 7B share?

20 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral 7B has 37.