Noometry

Model comparison

DeepSeek V4.1 Flash vs Mistral Medium

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 36.0 on the Noometry Index.

Last verified . 21 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

Mistral Medium Mistral AI

36.0

Rank #211 Confirmed

Summary

  • They share 21 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Mistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 23.3.
  • The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 9% for Mistral Medium.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 FlashMistral Medium
ProviderDeepSeekMistral AI
Noometry Index50.336.0
Released2026-09-092023-12-11
WeightsOpenOpen
Context window1M262K
Max output393K262K
Input $ / M tokens$0.15$1.50
Output $ / M tokens$0.60$7.50
Results tracked2536

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), Mistral Medium: 33.8 (#241)

BenchmarkDeepSeek V4.1 FlashMistral Medium
SciCode51.9%40.2%
LMArena Coding15111434
ALE-Bench1,092763.98
FrontierCode—8%
LMArena WebDev1620—
WeirdML—43.7%

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, Mistral Medium: 28.1 (#84)

BenchmarkDeepSeek V4.1 FlashMistral Medium
Berkeley Function Calling Leaderboard—37.7%

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), Mistral Medium: 23.3 (#165)

BenchmarkDeepSeek V4.1 FlashMistral Medium
CritPt14.3%0%
LMArena Hard Prompts14851426
DTBench89.9%75.5%
LMCA47%26.1%
Surface Evolver Bench46.3%26.9%
Kagi LLM Benchmark—50%
NYT Connections (extended)89.6%—
Epoch Capabilities Index155.01—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), Mistral Medium: 27.2 (#238)

BenchmarkDeepSeek V4.1 FlashMistral Medium
ProofBench54%9%
LMArena Math14931409
OTIS Mock AIME 2024-2025—32.2%
MATH Level 5—81.6%
FrontierMath (Feb 2025 set)—0.3%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), Mistral Medium: 24.9 (#260)

BenchmarkDeepSeek V4.1 FlashMistral Medium
LMArena Expert15051408
GPQA Diamond—59.5%
Humanity's Last Exam—4.5%
Vectara Hallucination Rate—22.7%

Multimodal Not comparable

DeepSeek V4.1 Flash: —, Mistral Medium: 34.6 (#82)

BenchmarkDeepSeek V4.1 FlashMistral Medium
LMArena Vision—1172

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), Mistral Medium: 52.3 (#86)

BenchmarkDeepSeek V4.1 FlashMistral Medium
LMArena Non-English14521408
LMArena Chinese15061448
LMArena French14481460
LMArena Russian14731411
LMArena Spanish14991433
LMArena German—1433
LMArena Japanese—1378
LMArena Korean—1382

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), Mistral Medium: 73.9 (#111)

BenchmarkDeepSeek V4.1 FlashMistral Medium
LMArena Instruction Following14751398

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), Mistral Medium: 42.9 (#108)

BenchmarkDeepSeek V4.1 FlashMistral Medium
LMArena Longer Query14761406

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), Mistral Medium: 60.2 (#97)

BenchmarkDeepSeek V4.1 FlashMistral Medium
LMArena Text14651424
LMArena Creative Writing14361391
LMArena Multi-Turn14601418
Short-Story Creative Writing—77.3%
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mistral Medium?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 36.0 on the Noometry Index.

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

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Medium lists at $1.50 and $7.50.

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

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 33.8 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 Medium share?

21 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Mistral Medium has 36.

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