Noometry

Model comparison

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.

Last verified . 4 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mistral Nemo Mistral AI

26.4

Rank #337 Confirmed

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.

Side by side

DeepSeek V4.1 FlashMistral Nemo
ProviderDeepSeekMistral AI
Noometry Index52.826.4
Released2026-09-092024-07-01
WeightsOpenOpen
Context window1M128K
Max output393K128K
Input $ / M tokens$0.15$0.15
Output $ / M tokens$0.60$0.15
Results tracked3710

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Category by category

Coding Not comparable

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
LMArena WebDev1619—
SciCode51.9%—
LMArena Coding1506—
ALE-Bench1,092—

Agentic & Tool Use DeepSeek V4.1 Flash leads

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
APEX-Agents39.5%—
Berkeley Function Calling Leaderboard—27.6%
BALROG—17.6%
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
DTBench89.9%48.6%
Epoch Capabilities Index154.9118.68
NYT Connections (extended)89.6%—
CritPt14.3%—
LMArena Hard Prompts1483—
Mystery Game Puzzles43%—
LMCA47%—
Surface Evolver Bench46.3%—
PIQA—83.5%

Math DeepSeek V4.1 Flash leads

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
LMArena Math1477—
MATH Level 5—10.8%
GSM8K—84.2%

Knowledge DeepSeek V4.1 Flash leads

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
GPQA Diamond89.8%29.9%
LMArena Expert1506—
BoolQ—82.5%

Multimodal Not comparable

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual Not comparable

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
LMArena Non-English1448—
LMArena Chinese1497—
LMArena French1452—
LMArena German1484—
LMArena Japanese1412—
LMArena Korean1452—
LMArena Russian1471—
LMArena Spanish1459—

Instruction Following Not comparable

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
LMArena Instruction Following1474—

Long Context Not comparable

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
LMArena Longer Query1475—

Writing & Preference DeepSeek V4.1 Flash leads

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

BenchmarkDeepSeek V4.1 FlashMistral Nemo
EQ-Bench Creative Writing1540881
LMArena Text1462—
LMArena Creative Writing1435—
LMArena Multi-Turn1457—

Frequently asked questions

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.

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