Noometry

Model comparison

DeepSeek V4.1 Flash vs Mistral Large 3

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 39.1 on the Noometry Index.

Last verified . 21 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 21 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and Mistral Large 3 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 15.2.
  • The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4.1 Flash and 7.5% for Mistral Large 3.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 FlashMistral Large 3
ProviderDeepSeekMistral AI
Noometry Index52.839.1
Released2026-09-092025-12-02
WeightsOpenOpen
Context window1M262K
Max output393K8K
Input $ / M tokens$0.15$0.25
Output $ / M tokens$0.60$0.75
Results tracked3724

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Mistral Large 3: 34.4 (#237)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
LMArena WebDev16191230
LMArena Coding15061448
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Mistral Large 3: —

BenchmarkDeepSeek V4.1 FlashMistral Large 3
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Mistral Large 3: 15.2 (#319)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
NYT Connections (extended)89.6%7.5%
LMArena Hard Prompts14831429
Kagi LLM Benchmark—50.9%
CritPt14.3%—
Thematic Generalization—23%
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 3: 38.7 (#129)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
LMArena Math14771414
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 3: 36.0 (#177)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
LMArena Expert15061421
GPQA Diamond89.8%—
Vectara Hallucination Rate—14.5%

Multimodal Too close to call

DeepSeek V4.1 Flash: 39.1 (#61), Mistral Large 3: 38.2 (#66)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
LMArena Vision12771221
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Mistral Large 3: 52.5 (#84)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
LMArena Non-English14481413
LMArena Chinese14971447
LMArena French14521455
LMArena German14841437
LMArena Japanese14121394
LMArena Korean14521384
LMArena Russian14711411
LMArena Spanish14591440

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Mistral Large 3: 74.0 (#108)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
LMArena Instruction Following14741403

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Mistral Large 3: 43.1 (#105)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
LMArena Longer Query14751413

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Mistral Large 3: 60.0 (#101)

BenchmarkDeepSeek V4.1 FlashMistral Large 3
LMArena Text14621428
LMArena Creative Writing14351386
EQ-Bench Creative Writing15401412
LMArena Multi-Turn14571429

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mistral Large 3?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 39.1 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mistral Large 3?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

Is DeepSeek V4.1 Flash or Mistral Large 3 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 262K.

How many benchmarks do DeepSeek V4.1 Flash and Mistral Large 3 share?

21 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral Large 3 has 24.

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