Noometry

Model comparison

DeepSeek V4.1 Flash vs Mistral Large 4

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.1 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Mistral Large 4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 22.5.
  • The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4.1 Flash and 27.4% for Mistral Large 4.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 FlashMistral Large 4
ProviderDeepSeekMistral AI
Noometry Index52.843.1
Released2026-09-092026-10-06
WeightsOpenProprietary
Context window1M1.05M
Max output393K262K
Input $ / M tokens$0.15$0.68
Output $ / M tokens$0.60$2.09
Results tracked3715

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Mistral Large 4: 48.6 (#57)

BenchmarkDeepSeek V4.1 FlashMistral Large 4
LMArena WebDev16191541
LMArena Coding15061475
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Mistral Large 4: —

BenchmarkDeepSeek V4.1 FlashMistral Large 4
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Mistral Large 4: 22.5 (#192)

BenchmarkDeepSeek V4.1 FlashMistral Large 4
NYT Connections (extended)89.6%27.4%
LMArena Hard Prompts14831444
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 Large 4: 40.4 (#91)

BenchmarkDeepSeek V4.1 FlashMistral Large 4
LMArena Math14771488
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Mistral Large 4: 36.6 (#166)

BenchmarkDeepSeek V4.1 FlashMistral Large 4
LMArena Expert15061447
GPQA Diamond89.8%—
SimpleQA Verified—20%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Mistral Large 4: —

BenchmarkDeepSeek V4.1 FlashMistral Large 4
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Mistral Large 4: 52.6 (#82)

BenchmarkDeepSeek V4.1 FlashMistral Large 4
LMArena Non-English14481415
LMArena Chinese14971491
LMArena Russian14711414
LMArena French1452—
LMArena German1484—
LMArena Japanese1412—
LMArena Korean1452—
LMArena Spanish1459—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Mistral Large 4: 75.0 (#76)

BenchmarkDeepSeek V4.1 FlashMistral Large 4
LMArena Instruction Following14741424

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Mistral Large 4: 43.6 (#89)

BenchmarkDeepSeek V4.1 FlashMistral Large 4
LMArena Longer Query14751429

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Mistral Large 4: 60.4 (#97)

BenchmarkDeepSeek V4.1 FlashMistral Large 4
LMArena Text14621427
LMArena Creative Writing14351361
LMArena Multi-Turn14571424
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mistral Large 4?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.1 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mistral Large 4?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is DeepSeek V4.1 Flash or Mistral Large 4 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 48.6 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1M.

How many benchmarks do DeepSeek V4.1 Flash and Mistral Large 4 share?

14 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral Large 4 has 15.

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