Noometry

Model comparison

DeepSeek V4.1 Flash vs Mistral Small 3.1

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 31.4 on the Noometry Index.

Last verified . 16 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

Mistral Small 3.1 Mistral AI

31.4

Rank #263 Confirmed

Summary

  • They share 16 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Mistral Small 3.1 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 48.4 to 13.7.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.

Side by side

DeepSeek V4.1 FlashMistral Small 3.1
ProviderDeepSeekMistral AI
Noometry Index50.331.4
Released2026-09-092025-03-17
WeightsOpenOpen
Context window1M128K
Max output393K102K
Input $ / M tokens$0.15$0.35
Output $ / M tokens$0.60$0.56
Results tracked2528

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), Mistral Small 3.1: 37.7 (#175)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Coding15111309
LMArena WebDev1620—
SciCode51.9%—
ALE-Bench1,092—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), Mistral Small 3.1: 18.9 (#249)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Hard Prompts14851278
Epoch Capabilities Index155.01127.48
NYT Connections (extended)89.6%—
CritPt14.3%—
Chess Puzzles—1%
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), Mistral Small 3.1: 13.7 (#295)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Math14931261
OTIS Mock AIME 2024-2025—3.9%
ProofBench54%—
Omni-MATH—24.8%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), Mistral Small 3.1: 22.6 (#266)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Expert15051258
GPQA Diamond—41.9%
MMLU-Pro—61%
GPQA (HELM)—39.2%

Multimodal Not comparable

DeepSeek V4.1 Flash: —, Mistral Small 3.1: 32.6 (#93)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Vision—1136

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), Mistral Small 3.1: 41.4 (#204)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Non-English14521255
LMArena Chinese15061254
LMArena French14481270
LMArena Russian14731263
LMArena Spanish14991283
LMArena German—1266
LMArena Japanese—1210
LMArena Korean—1206

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), Mistral Small 3.1: 63.8 (#225)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Instruction Following14751264
IFEval—75%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), Mistral Small 3.1: 39.5 (#172)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Longer Query14761300

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), Mistral Small 3.1: 37.2 (#254)

BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Text14651278
LMArena Creative Writing14361253
EQ-Bench Creative Writing1540761
LMArena Multi-Turn14601270
WildBench—78.8%

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mistral Small 3.1?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 31.4 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mistral Small 3.1?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

Is DeepSeek V4.1 Flash or Mistral Small 3.1 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 37.7 in the Noometry coding category.

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 Small 3.1 share?

16 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Mistral Small 3.1 has 28.

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