# DeepSeek V4.1 Flash vs Mistral Nemo

> DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 26.4 on the Noometry Index. Mistral Nemo costs 1.7× 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-nemo
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek V4.1 Flash leads 57.9 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 89.8% for DeepSeek V4.1 Flash and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 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 128K.

## Snapshot

| | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 52.8 | 26.4 |
| Rank | 38 | 337 |
| Context | 1M | 128K |
| Input $/M | $0.15 | $0.15 |
| Output $/M | $0.60 | $0.15 |
| Weights | Open | Open |

## Coding

- DeepSeek V4.1 Flash: 52.9 (#32)
- Mistral Nemo: —

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

## Agentic & Tool Use

- DeepSeek V4.1 Flash: 31.2 (#69)
- Mistral Nemo: 23.5 (#125)

| Benchmark | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| APEX-Agents | 39.5% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
| GDP.pdf | 19.8% | — |

## Reasoning

- DeepSeek V4.1 Flash: 50.2 (#36)
- Mistral Nemo: 20.7 (#232)

| Benchmark | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| DTBench | 89.9% | 48.6% |
| Epoch Capabilities Index | 154.9 | 118.68 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| PIQA | — | 83.5% |

## Math

- DeepSeek V4.1 Flash: 66.7 (#25)
- Mistral Nemo: 25.5 (#268)

| Benchmark | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |

## Knowledge

- DeepSeek V4.1 Flash: 57.9 (#38)
- Mistral Nemo: 12.3 (#298)

| Benchmark | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 89.8% | 29.9% |
| LMArena Expert | 1506 | — |
| BoolQ | — | 82.5% |

## Multimodal

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

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

## Multilingual

- DeepSeek V4.1 Flash: 55.0 (#35)
- Mistral Nemo: —

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

## Instruction Following

- DeepSeek V4.1 Flash: 77.3 (#26)
- Mistral Nemo: —

| Benchmark | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1474 | — |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#47)
- Mistral Nemo: —

| Benchmark | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1475 | — |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.4 (#48)
- Mistral Nemo: 28.5 (#296)

| Benchmark | DeepSeek V4.1 Flash | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1540 | 881 |
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| LMArena Multi-Turn | 1457 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than Mistral Nemo?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 26.4 on the Noometry Index. Mistral Nemo costs 1.7× 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 Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 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 128K.

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

4 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral Nemo has 10.