Noometry

Model comparison

DeepSeek V4.1 Flash vs Mistral Medium 3.1

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 31.9 on the Noometry Index.

Last verified . 2 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mistral Medium 3.1 Mistral AI

31.9

Rank #266 Reported

Summary

  • They share 2 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 2 categories and Mistral Medium 3.1 in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 10.6.
  • The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4.1 Flash and 6.5% for Mistral Medium 3.1.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 FlashMistral Medium 3.1
ProviderDeepSeekMistral AI
Noometry Index52.831.9
Released2026-09-09—
WeightsOpenProprietary
Context window1M131K
Max output393K105K
Input $ / M tokens$0.15$0.40
Output $ / M tokens$0.60$2
Results tracked373

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Category by category

Coding Not comparable

DeepSeek V4.1 Flash: 52.9 (#32), Mistral Medium 3.1: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
LMArena WebDev1619—
SciCode51.9%—
LMArena Coding1506—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Mistral Medium 3.1: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Mistral Medium 3.1: 10.6 (#341)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
NYT Connections (extended)89.6%6.5%
CritPt14.3%—
Thematic Generalization—20.3%
LMArena Hard Prompts1483—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—

Math Not comparable

DeepSeek V4.1 Flash: 66.7 (#25), Mistral Medium 3.1: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
LMArena Math1477—

Knowledge Not comparable

DeepSeek V4.1 Flash: 57.9 (#38), Mistral Medium 3.1: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
GPQA Diamond89.8%—
LMArena Expert1506—

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Mistral Medium 3.1: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.0 (#35), Mistral Medium 3.1: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
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 Medium 3.1: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
LMArena Instruction Following1474—

Long Context Not comparable

DeepSeek V4.1 Flash: 45.2 (#47), Mistral Medium 3.1: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
LMArena Longer Query1475—

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Mistral Medium 3.1: 55.5 (#145)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.1
EQ-Bench Creative Writing15401476
LMArena Text1462—
LMArena Creative Writing1435—
LMArena Multi-Turn1457—

Frequently asked questions

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

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 31.9 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mistral Medium 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 Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 131K.

How many benchmarks do DeepSeek V4.1 Flash and Mistral Medium 3.1 share?

2 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral Medium 3.1 has 3.

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