Noometry

Model comparison

DeepSeek V4.1 Flash vs Mixtral 8x22B

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 27.1 on the Noometry Index.

Last verified . 20 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 20 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 22.9.
  • The biggest single-benchmark swing is GPQA Diamond: 89.8% for DeepSeek V4.1 Flash and 34.1% for Mixtral 8x22B.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 64K.

Side by side

DeepSeek V4.1 FlashMixtral 8x22B
ProviderDeepSeekMistral AI
Noometry Index52.827.1
Released2026-09-092024-04-17
WeightsOpenOpen
Context window1M64K
Max output393K64K
Input $ / M tokens$0.15$2
Output $ / M tokens$0.60$6
Results tracked3734

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Mixtral 8x22B: 24.2 (#329)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
LMArena Coding15061166
LMArena WebDev1619—
SciCode51.9%—
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench1,092—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 31.2 (#69), Mixtral 8x22B: 23.1 (#127)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
APEX-Agents39.5%—
Cybench—7.5%
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Mixtral 8x22B: 19.9 (#248)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
LMArena Hard Prompts14831150
DTBench89.9%55.1%
Epoch Capabilities Index154.9122.03
NYT Connections (extended)89.6%—
CritPt14.3%—
Mystery Game Puzzles43%—
LMCA47%—
Surface Evolver Bench46.3%—
ForecastBench—56.3

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Mixtral 8x22B: 22.9 (#275)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
LMArena Math14771184
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Mixtral 8x22B: 15.1 (#293)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
GPQA Diamond89.8%34.1%
LMArena Expert15061113
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Mixtral 8x22B: —

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Mixtral 8x22B: 32.8 (#255)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
LMArena Non-English14481128
LMArena Chinese14971116
LMArena French14521166
LMArena German14841141
LMArena Japanese14121037
LMArena Korean14521057
LMArena Russian14711158
LMArena Spanish14591151

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Mixtral 8x22B: 57.7 (#266)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
LMArena Instruction Following14741147
IFEval—72.4%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Mixtral 8x22B: 34.7 (#247)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
LMArena Longer Query14751144

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Mixtral 8x22B: 36.9 (#262)

BenchmarkDeepSeek V4.1 FlashMixtral 8x22B
LMArena Text14621162
LMArena Creative Writing14351141
LMArena Multi-Turn14571130
EQ-Bench Creative Writing1540—
WildBench—71.1%

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mixtral 8x22B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 27.1 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mixtral 8x22B?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is DeepSeek V4.1 Flash or Mixtral 8x22B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 64K.

How many benchmarks do DeepSeek V4.1 Flash and Mixtral 8x22B share?

20 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mixtral 8x22B has 34.

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