Noometry

Model comparison

DeepSeek V4.1 Flash vs Mixtral 8x7B

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 26.8 on the Noometry Index.

Last verified . 16 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

Mixtral 8x7B Mistral AI

26.8

Rank #328 Confirmed

Summary

  • They share 16 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where DeepSeek V4.1 Flash leads 65.8 to 34.4.
  • The biggest single-benchmark swing is DTBench: 89.9% for DeepSeek V4.1 Flash and 49.6% for Mixtral 8x7B.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 32K.

Side by side

DeepSeek V4.1 FlashMixtral 8x7B
ProviderDeepSeekMistral AI
Noometry Index50.326.8
Released2026-09-092023-12-11
WeightsOpenOpen
Context window1M32K
Max output393K32K
Input $ / M tokens$0.15$0.70
Output $ / M tokens$0.60$0.70
Results tracked2538

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), Mixtral 8x7B: 32.2 (#265)

BenchmarkDeepSeek V4.1 FlashMixtral 8x7B
LMArena Coding15111127
LMArena WebDev1620—
SciCode51.9%—
ALE-Bench1,092—
HumanEval+—39.6%
MBPP+—49.7%

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), Mixtral 8x7B: 17.4 (#283)

BenchmarkDeepSeek V4.1 FlashMixtral 8x7B
LMArena Hard Prompts14851115
DTBench89.9%49.6%
Epoch Capabilities Index155.01118.38
NYT Connections (extended)89.6%—
CritPt14.3%—
LMCA47%—
Surface Evolver Bench46.3%—
Adversarial NLI—55.2%
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), Mixtral 8x7B: 17.2 (#284)

BenchmarkDeepSeek V4.1 FlashMixtral 8x7B
LMArena Math14931147
ProofBench54%—
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), Mixtral 8x7B: 11.0 (#296)

BenchmarkDeepSeek V4.1 FlashMixtral 8x7B
LMArena Expert15051088
GPQA Diamond—30.6%
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), Mixtral 8x7B: 29.8 (#261)

BenchmarkDeepSeek V4.1 FlashMixtral 8x7B
LMArena Non-English14521077
LMArena Chinese15061055
LMArena French14481165
LMArena Russian14731090
LMArena Spanish14991110
LMArena German—1114
LMArena Japanese—931
LMArena Korean—968

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), Mixtral 8x7B: 51.2 (#292)

BenchmarkDeepSeek V4.1 FlashMixtral 8x7B
LMArena Instruction Following14751110
IFEval—57.5%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), Mixtral 8x7B: 33.4 (#255)

BenchmarkDeepSeek V4.1 FlashMixtral 8x7B
LMArena Longer Query14761103

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), Mixtral 8x7B: 34.4 (#265)

BenchmarkDeepSeek V4.1 FlashMixtral 8x7B
LMArena Text14651132
LMArena Creative Writing14361109
LMArena Multi-Turn14601115
EQ-Bench Creative Writing1540—
WildBench—67.3%

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mixtral 8x7B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 26.8 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mixtral 8x7B?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is DeepSeek V4.1 Flash or Mixtral 8x7B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 32.2 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 32K.

How many benchmarks do DeepSeek V4.1 Flash and Mixtral 8x7B share?

16 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Mixtral 8x7B has 38.

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