Noometry

Model comparison

MiMo-V2-Omni vs Mixtral 8x7B

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 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiMo-V2-Omni scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiMo-V2-Omni leads 40.5 to 11.0.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • MiMo-V2-Omni accepts more context: 262K tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-OmniMixtral 8x7B
ProviderXiaomiMistral AI
Noometry Index43.627.1
Released2026-03-182023-12-11
WeightsProprietaryOpen
Context window262K32K
Max output131K32K
Input $ / M tokens$0.14$0.70
Output $ / M tokens$0.28$0.70
Results tracked1838

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Category by category

Coding MiMo-V2-Omni leads

MiMo-V2-Omni: 43.3 (#89), Mixtral 8x7B: 32.8 (#269)

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Coding14661126
HumanEval+—39.6%
MBPP+—49.7%

Reasoning MiMo-V2-Omni leads

MiMo-V2-Omni: 29.7 (#88), Mixtral 8x7B: 18.2 (#285)

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Hard Prompts14451115
DTBench—49.6%
Adversarial NLI—55.2%
Epoch Capabilities Index—118.47
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math MiMo-V2-Omni leads

MiMo-V2-Omni: 39.1 (#115), Mixtral 8x7B: 18.8 (#289)

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Math14301147
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge MiMo-V2-Omni leads

MiMo-V2-Omni: 40.5 (#118), Mixtral 8x7B: 11.0 (#301)

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Expert14491088
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%

Multimodal Not comparable

MiMo-V2-Omni: 38.6 (#63), Mixtral 8x7B: —

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Vision1228—

Multilingual MiMo-V2-Omni leads

MiMo-V2-Omni: 51.8 (#102), Mixtral 8x7B: 29.6 (#266)

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Non-English14041077
LMArena Chinese14651055
LMArena French14471166
LMArena German13991114
LMArena Japanese1317931
LMArena Korean1355968
LMArena Russian14121090
LMArena Spanish14341111

Instruction Following MiMo-V2-Omni leads

MiMo-V2-Omni: 75.2 (#66), Mixtral 8x7B: 51.0 (#297)

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Instruction Following14281109
IFEval—57.5%

Long Context MiMo-V2-Omni leads

MiMo-V2-Omni: 44.1 (#76), Mixtral 8x7B: 33.4 (#260)

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Longer Query14421103

Writing & Preference MiMo-V2-Omni leads

MiMo-V2-Omni: 61.4 (#87), Mixtral 8x7B: 34.2 (#270)

BenchmarkMiMo-V2-OmniMixtral 8x7B
LMArena Text14231132
LMArena Creative Writing13921109
LMArena Multi-Turn14451115
WildBench—67.3%

Frequently asked questions

Is MiMo-V2-Omni better than Mixtral 8x7B?

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 8x7B?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is MiMo-V2-Omni or Mixtral 8x7B better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 32K.

How many benchmarks do MiMo-V2-Omni and Mixtral 8x7B share?

17 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mixtral 8x7B has 38.

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