Model comparison

DeepSeek V4.1 Flash vs Mistral

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 29.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mistral Mistral AI

29.9

Rank #303 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Mistral 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 22.3.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 Flash and Mistral specifications
DeepSeek V4.1 FlashMistral
ProviderDeepSeekMistral AI
Noometry Index52.829.9
Released2026-09-09—
WeightsOpenProprietary
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked3722

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Mistral: 33.8 (#250)

Coding benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
LMArena Coding15061162
LMArena WebDev1619—
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Mistral: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Mistral: 22.2 (#200)

Reasoning benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
LMArena Hard Prompts14831149
NYT Connections (extended)89.6%—
CritPt14.3%—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Mistral: 22.3 (#278)

Math benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
LMArena Math14771180
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
Omni-MATH—7.2%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Mistral: 16.6 (#288)

Knowledge benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
LMArena Expert15061125
GPQA Diamond89.8%—
MMLU-Pro—27.7%
GPQA (HELM)—30.3%

Multimodal Not comparable

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

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

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Mistral: 32.8 (#254)

Multilingual benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
LMArena Non-English14481129
LMArena Chinese14971109
LMArena French14521180
LMArena German14841155
LMArena Japanese14121013
LMArena Korean14521032
LMArena Russian14711168
LMArena Spanish14591143

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Mistral: 52.6 (#288)

Instruction Following benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
LMArena Instruction Following14741152
IFEval—56.8%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Mistral: 35.0 (#245)

Long Context benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
LMArena Longer Query14751153

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Mistral: 37.0 (#260)

Writing & Preference benchmarks
BenchmarkDeepSeek V4.1 FlashMistral
LMArena Text14621165
LMArena Creative Writing14351158
LMArena Multi-Turn14571147
EQ-Bench Creative Writing1540—
WildBench—66%

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mistral?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 29.9 on the Noometry Index.

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

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 33.8 in the Noometry coding category.

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

17 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral has 22.

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