# DeepSeek V4 Flash vs Mistral Nemo

> DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 26.4 on the Noometry Index. Mistral Nemo costs 1.7× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v4-flash-vs-mistral-nemo
- Last updated: 2026-10-11
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 4 categories and Mistral Nemo in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek V4 Flash leads 55.4 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 91% for DeepSeek V4 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 Flash.
- DeepSeek V4 Flash accepts more context: 1M tokens versus 128K.

## Snapshot

| | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 53.6 | 26.4 |
| Rank | 35 | 337 |
| Context | 1M | 128K |
| Input $/M | $0.15 | $0.15 |
| Output $/M | $0.60 | $0.15 |
| Weights | Open | Open |

## Coding

- DeepSeek V4 Flash: 47.9 (#59)
- Mistral Nemo: —

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

## Agentic & Tool Use

- DeepSeek V4 Flash: —
- Mistral Nemo: 23.5 (#125)

| Benchmark | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |

## Reasoning

- DeepSeek V4 Flash: 53.7 (#30)
- Mistral Nemo: 20.7 (#232)

| Benchmark | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| DTBench | 90.9% | 48.6% |
| Epoch Capabilities Index | 154.49 | 118.68 |
| 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% | — |
| Chess Puzzles | 33% | — |
| LMArena Hard Prompts | 1444 | — |
| Mystery Game Puzzles | 34% | — |
| LMCA | 41.7% | — |
| PIQA | — | 83.5% |

## Math

- DeepSeek V4 Flash: 60.3 (#37)
- Mistral Nemo: 25.5 (#268)

| Benchmark | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
| LMArena Math | 1427 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |

## Knowledge

- DeepSeek V4 Flash: 55.4 (#48)
- Mistral Nemo: 12.3 (#298)

| Benchmark | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 91% | 29.9% |
| SimpleQA Verified | 33.6% | — |
| LMArena Expert | 1441 | — |
| BoolQ | — | 82.5% |

## Multilingual

- DeepSeek V4 Flash: 53.0 (#72)
- Mistral Nemo: —

| Benchmark | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1468 | — |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- DeepSeek V4 Flash: 74.9 (#81)
- Mistral Nemo: —

| Benchmark | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1421 | — |

## Long Context

- DeepSeek V4 Flash: 43.8 (#85)
- Mistral Nemo: —

| Benchmark | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1434 | — |

## Writing & Preference

- DeepSeek V4 Flash: 63.8 (#61)
- Mistral Nemo: 28.5 (#296)

| Benchmark | DeepSeek V4 Flash | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1559 | 881 |
| LMArena Text | 1432 | — |
| LMArena Creative Writing | 1403 | — |
| LMArena Multi-Turn | 1449 | — |

## FAQ

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

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 26.4 on the Noometry Index. Mistral Nemo costs 1.7× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.

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

### Which has the bigger context window?

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

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

4 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Mistral Nemo has 10.