Noometry

Model comparison

MiMo-V2.6-Pro vs Mixtral 8x7B

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 27.1 on the Noometry Index.

Last verified . 12 shared benchmarks.

MiMo-V2.6-Pro Xiaomi

50.3

Rank #49 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 12 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 18.8.
  • MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 32K.

Side by side

MiMo-V2.6-ProMixtral 8x7B
ProviderXiaomiMistral AI
Noometry Index50.327.1
Released2026-09-212023-12-11
WeightsOpenOpen
Context window1.05M32K
Max output131K32K
Input $ / M tokens$0.43$0.70
Output $ / M tokens$0.87$0.70
Results tracked1938

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Category by category

Coding MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 55.5 (#23), Mixtral 8x7B: 32.8 (#269)

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Coding15341126
LMArena WebDev1629—
SciCode60.9%—
ALE-Bench1,158—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

MiMo-V2.6-Pro: 37.5 (#35), Mixtral 8x7B: —

BenchmarkMiMo-V2.6-ProMixtral 8x7B
APEX-Agents59.5%—

Reasoning MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.1 (#50), Mixtral 8x7B: 18.2 (#285)

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Hard Prompts15121115
CritPt26.6%—
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-V2.6-Pro leads

MiMo-V2.6-Pro: 54.5 (#45), Mixtral 8x7B: 18.8 (#289)

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Math14941147
ProofBench70%—
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.5 (#92), Mixtral 8x7B: 11.0 (#301)

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Expert15431088
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-V2.6-Pro: 40.8 (#43), Mixtral 8x7B: —

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Vision1264—

Multilingual MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 56.9 (#14), Mixtral 8x7B: 29.6 (#266)

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Non-English14741077
LMArena Chinese15291055
LMArena Russian14801090
LMArena French—1166
LMArena German—1114
LMArena Japanese—931
LMArena Korean—968
LMArena Spanish—1111

Instruction Following MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 78.2 (#12), Mixtral 8x7B: 51.0 (#297)

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Instruction Following14931109
IFEval—57.5%

Long Context MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 46.0 (#27), Mixtral 8x7B: 33.4 (#260)

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Longer Query15011103

Writing & Preference MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 66.8 (#33), Mixtral 8x7B: 34.2 (#270)

BenchmarkMiMo-V2.6-ProMixtral 8x7B
LMArena Text14921132
LMArena Creative Writing14681109
LMArena Multi-Turn14641115
WildBench—67.3%

Frequently asked questions

Is MiMo-V2.6-Pro better than Mixtral 8x7B?

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 27.1 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Pro or Mixtral 8x7B?

MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is MiMo-V2.6-Pro or Mixtral 8x7B better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 32K.

How many benchmarks do MiMo-V2.6-Pro and Mixtral 8x7B share?

12 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Mixtral 8x7B has 38.

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