Model comparison

MiMo-V2-Omni vs Mixtral 8x22B

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 27.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiMo-V2-Omni Xiaomi

43.6

Rank #88 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiMo-V2-Omni 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-Omni leads 40.5 to 15.1.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • MiMo-V2-Omni accepts more context: 262K tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-Omni and Mixtral 8x22B specifications
MiMo-V2-OmniMixtral 8x22B
ProviderXiaomiMistral AI
Noometry Index43.627.1
Released2026-03-182024-04-17
WeightsProprietaryOpen
Context window262K64K
Max output131K64K
Input $ / M tokens$0.14$2
Output $ / M tokens$0.28$6
Results tracked1834

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Category by category

Coding MiMo-V2-Omni leads

MiMo-V2-Omni: 43.3 (#89), Mixtral 8x22B: 24.2 (#329)

Coding benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Coding14661166
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

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

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
Cybench—7.5%

Reasoning MiMo-V2-Omni leads

MiMo-V2-Omni: 29.7 (#88), Mixtral 8x22B: 19.9 (#248)

Reasoning benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Hard Prompts14451150
DTBench—55.1%
Epoch Capabilities Index—122.03
ForecastBench—56.3

Math MiMo-V2-Omni leads

MiMo-V2-Omni: 39.1 (#115), Mixtral 8x22B: 22.9 (#275)

Math benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Math14301184
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge MiMo-V2-Omni leads

MiMo-V2-Omni: 40.5 (#118), Mixtral 8x22B: 15.1 (#293)

Knowledge benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Expert14491113
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

MiMo-V2-Omni: 38.6 (#63), Mixtral 8x22B: —

Multimodal benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Vision1228—

Multilingual MiMo-V2-Omni leads

MiMo-V2-Omni: 51.8 (#102), Mixtral 8x22B: 32.8 (#255)

Multilingual benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Non-English14041128
LMArena Chinese14651116
LMArena French14471166
LMArena German13991141
LMArena Japanese13171037
LMArena Korean13551057
LMArena Russian14121158
LMArena Spanish14341151

Instruction Following MiMo-V2-Omni leads

MiMo-V2-Omni: 75.2 (#66), Mixtral 8x22B: 57.7 (#266)

Instruction Following benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Instruction Following14281147
IFEval—72.4%

Long Context MiMo-V2-Omni leads

MiMo-V2-Omni: 44.1 (#76), Mixtral 8x22B: 34.7 (#247)

Long Context benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Longer Query14421144

Writing & Preference MiMo-V2-Omni leads

MiMo-V2-Omni: 61.4 (#87), Mixtral 8x22B: 36.9 (#262)

Writing & Preference benchmarks
BenchmarkMiMo-V2-OmniMixtral 8x22B
LMArena Text14231162
LMArena Creative Writing13921141
LMArena Multi-Turn14451130
WildBench—71.1%

Frequently asked questions

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

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 27.1 on the Noometry Index.

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

MiMo-V2-Omni 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-Omni or Mixtral 8x22B better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

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

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

17 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mixtral 8x22B has 34.

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