Noometry

Model comparison

DeepSeek V4.1 Flash vs Mistral 7B

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 23.0 on the Noometry Index.

Last verified . 20 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 20 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 8.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 0.3% for Mistral 7B.
  • Both cost about the same: $0.15 input and $0.60 output per million tokens.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 8K.

Side by side

DeepSeek V4.1 FlashMistral 7B
ProviderDeepSeekMistral AI
Noometry Index52.823.0
Released2026-09-092023-09-27
WeightsOpenOpen
Context window1M8K
Max output393K8K
Input $ / M tokens$0.15$0.25
Output $ / M tokens$0.60$0.25
Results tracked3737

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Mistral 7B: 26.4 (#326)

BenchmarkDeepSeek V4.1 FlashMistral 7B
LMArena Coding15061082
LMArena WebDev1619—
SciCode51.9%—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
ALE-Bench1,092—
HumanEval+—36%
MBPP+—42.1%

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Mistral 7B: —

BenchmarkDeepSeek V4.1 FlashMistral 7B
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Mistral 7B: 13.1 (#336)

BenchmarkDeepSeek V4.1 FlashMistral 7B
LMArena Hard Prompts14831067
DTBench89.9%42.5%
Epoch Capabilities Index154.9112.21
NYT Connections (extended)89.6%—
CritPt14.3%—
Chess Puzzles—0%
Mystery Game Puzzles43%—
LMCA47%—
Surface Evolver Bench46.3%—
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Mistral 7B: 8.1 (#325)

BenchmarkDeepSeek V4.1 FlashMistral 7B
OTIS Mock AIME 2024-202598.3%0.3%
LMArena Math14771085
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
ProofBench54%—
MATH Level 5—3.7%
GSM8K—54.4%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Mistral 7B: 7.4 (#311)

BenchmarkDeepSeek V4.1 FlashMistral 7B
GPQA Diamond89.8%15.2%
LMArena Expert15061036
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Mistral 7B: —

BenchmarkDeepSeek V4.1 FlashMistral 7B
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Mistral 7B: 25.8 (#283)

BenchmarkDeepSeek V4.1 FlashMistral 7B
LMArena Non-English14481012
LMArena Chinese14971009
LMArena French14521037
LMArena German1484987
LMArena Japanese1412878
LMArena Russian14711018
LMArena Spanish14591026
LMArena Korean1452—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Mistral 7B: 54.2 (#280)

BenchmarkDeepSeek V4.1 FlashMistral 7B
LMArena Instruction Following14741060

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Mistral 7B: 32.2 (#271)

BenchmarkDeepSeek V4.1 FlashMistral 7B
LMArena Longer Query14751060

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Mistral 7B: 30.7 (#286)

BenchmarkDeepSeek V4.1 FlashMistral 7B
LMArena Text14621090
LMArena Creative Writing14351068
LMArena Multi-Turn14571062
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mistral 7B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 23.0 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.

Is DeepSeek V4.1 Flash or Mistral 7B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 8K.

How many benchmarks do DeepSeek V4.1 Flash and Mistral 7B share?

20 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral 7B has 37.

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