Noometry

Model comparison

DeepSeek V4.1 Flash vs Mistral Medium 3.5

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 40.2 on the Noometry Index.

Last verified . 20 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Summary

  • They share 20 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and Mistral Medium 3.5 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 17.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4.1 Flash and 12.9% for Mistral Medium 3.5.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 FlashMistral Medium 3.5
ProviderDeepSeekMistral AI
Noometry Index52.840.2
Released2026-09-09—
WeightsOpenOpen
Context window1M262K
Max output393K210K
Input $ / M tokens$0.15$1.50
Output $ / M tokens$0.60$7.50
Results tracked3722

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Mistral Medium 3.5: 36.0 (#213)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
LMArena WebDev16191264
LMArena Coding15061461
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Mistral Medium 3.5: —

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Mistral Medium 3.5: 17.3 (#295)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
NYT Connections (extended)89.6%12.9%
LMArena Hard Prompts14831436
Epoch Capabilities Index154.9141.35
Kagi LLM Benchmark—41.4%
CritPt14.3%—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Mistral Medium 3.5: 39.1 (#113)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
LMArena Math14771431
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 Medium 3.5: 40.0 (#126)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
LMArena Expert15061432
GPQA Diamond89.8%—

Multimodal Too close to call

DeepSeek V4.1 Flash: 39.1 (#61), Mistral Medium 3.5: 38.3 (#65)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
LMArena Vision12771223
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Mistral Medium 3.5: 51.9 (#100)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
LMArena Non-English14481404
LMArena Chinese14971442
LMArena French14521448
LMArena German14841451
LMArena Korean14521385
LMArena Russian14711395
LMArena Spanish14591409
LMArena Japanese1412—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Mistral Medium 3.5: 74.6 (#90)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
LMArena Instruction Following14741415

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Mistral Medium 3.5: 43.2 (#103)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
LMArena Longer Query14751415

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Mistral Medium 3.5: 58.5 (#117)

BenchmarkDeepSeek V4.1 FlashMistral Medium 3.5
LMArena Text14621421
LMArena Creative Writing14351374
LMArena Multi-Turn14571423
EQ-Bench Creative Writing1540—
EQ-Bench 4—993

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mistral Medium 3.5?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 40.2 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mistral Medium 3.5?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is DeepSeek V4.1 Flash or Mistral Medium 3.5 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 36.0 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 3.5 share?

20 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral Medium 3.5 has 22.

Related comparisons

Go deeper