Noometry

Model comparison

MiMo-V2-Flash vs Mixtral 8x22B

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 27.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiMo-V2-Flash scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiMo-V2-Flash leads 39.7 to 15.1.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • MiMo-V2-Flash accepts more context: 262K tokens versus 64K.

Side by side

MiMo-V2-FlashMixtral 8x22B
ProviderXiaomiMistral AI
Noometry Index41.327.1
Released2025-12-162024-04-17
WeightsOpenOpen
Context window262K64K
Max output66K64K
Input $ / M tokens$0.14$2
Output $ / M tokens$0.28$6
Results tracked2134

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Category by category

Coding MiMo-V2-Flash leads

MiMo-V2-Flash: 36.1 (#211), Mixtral 8x22B: 24.2 (#329)

BenchmarkMiMo-V2-FlashMixtral 8x22B
LMArena Coding14431166
LMArena WebDev1330—
SciCode25.9%—
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench737.95—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

MiMo-V2-Flash: —, Mixtral 8x22B: 23.1 (#127)

BenchmarkMiMo-V2-FlashMixtral 8x22B
Cybench—7.5%

Reasoning MiMo-V2-Flash leads

MiMo-V2-Flash: 24.9 (#157), Mixtral 8x22B: 19.9 (#248)

BenchmarkMiMo-V2-FlashMixtral 8x22B
LMArena Hard Prompts14201150
CritPt0%—
DTBench—55.1%
Epoch Capabilities Index—122.03
ForecastBench—56.3

Math MiMo-V2-Flash leads

MiMo-V2-Flash: 38.3 (#139), Mixtral 8x22B: 22.9 (#275)

BenchmarkMiMo-V2-FlashMixtral 8x22B
LMArena Math13961184
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge MiMo-V2-Flash leads

MiMo-V2-Flash: 39.7 (#131), Mixtral 8x22B: 15.1 (#293)

BenchmarkMiMo-V2-FlashMixtral 8x22B
LMArena Expert14251113
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multilingual MiMo-V2-Flash leads

MiMo-V2-Flash: 51.0 (#113), Mixtral 8x22B: 32.8 (#255)

BenchmarkMiMo-V2-FlashMixtral 8x22B
LMArena Non-English13921128
LMArena Chinese14621116
LMArena French14291166
LMArena German13951141
LMArena Japanese13251037
LMArena Korean13581057
LMArena Russian13871158
LMArena Spanish14201151

Instruction Following MiMo-V2-Flash leads

MiMo-V2-Flash: 73.5 (#120), Mixtral 8x22B: 57.7 (#266)

BenchmarkMiMo-V2-FlashMixtral 8x22B
LMArena Instruction Following13921147
IFEval—72.4%

Long Context MiMo-V2-Flash leads

MiMo-V2-Flash: 43.0 (#110), Mixtral 8x22B: 34.7 (#247)

BenchmarkMiMo-V2-FlashMixtral 8x22B
LMArena Longer Query14091144

Writing & Preference MiMo-V2-Flash leads

MiMo-V2-Flash: 59.7 (#106), Mixtral 8x22B: 36.9 (#262)

BenchmarkMiMo-V2-FlashMixtral 8x22B
LMArena Text14111162
LMArena Creative Writing13751141
LMArena Multi-Turn14041130
WildBench—71.1%

Frequently asked questions

Is MiMo-V2-Flash better than Mixtral 8x22B?

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 27.1 on the Noometry Index.

Which is cheaper, MiMo-V2-Flash or Mixtral 8x22B?

MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is MiMo-V2-Flash or Mixtral 8x22B better for coding?

MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 64K.

How many benchmarks do MiMo-V2-Flash and Mixtral 8x22B share?

17 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Mixtral 8x22B has 34.

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