Noometry

Model comparison

MiMo-V2.6-Pro vs Mixtral 8x22B

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 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 12 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 22.9.
  • MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 64K.

Side by side

MiMo-V2.6-ProMixtral 8x22B
ProviderXiaomiMistral AI
Noometry Index50.327.1
Released2026-09-212024-04-17
WeightsOpenOpen
Context window1.05M64K
Max output131K64K
Input $ / M tokens$0.43$2
Output $ / M tokens$0.87$6
Results tracked1934

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Category by category

Coding MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 55.5 (#23), Mixtral 8x22B: 24.2 (#329)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Coding15341166
LMArena WebDev1629—
SciCode60.9%—
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench1,158—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 37.5 (#35), Mixtral 8x22B: 23.1 (#127)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
APEX-Agents59.5%—
Cybench—7.5%

Reasoning MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.1 (#50), Mixtral 8x22B: 19.9 (#248)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Hard Prompts15121150
CritPt26.6%—
DTBench—55.1%
Epoch Capabilities Index—122.03
ForecastBench—56.3

Math MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 54.5 (#45), Mixtral 8x22B: 22.9 (#275)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Math14941184
ProofBench70%—
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.5 (#92), Mixtral 8x22B: 15.1 (#293)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Expert15431113
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

MiMo-V2.6-Pro: 40.8 (#43), Mixtral 8x22B: —

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Vision1264—

Multilingual MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 56.9 (#14), Mixtral 8x22B: 32.8 (#255)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Non-English14741128
LMArena Chinese15291116
LMArena Russian14801158
LMArena French—1166
LMArena German—1141
LMArena Japanese—1037
LMArena Korean—1057
LMArena Spanish—1151

Instruction Following MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 78.2 (#12), Mixtral 8x22B: 57.7 (#266)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Instruction Following14931147
IFEval—72.4%

Long Context MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 46.0 (#27), Mixtral 8x22B: 34.7 (#247)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Longer Query15011144

Writing & Preference MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 66.8 (#33), Mixtral 8x22B: 36.9 (#262)

BenchmarkMiMo-V2.6-ProMixtral 8x22B
LMArena Text14921162
LMArena Creative Writing14681141
LMArena Multi-Turn14641130
WildBench—71.1%

Frequently asked questions

Is MiMo-V2.6-Pro better than Mixtral 8x22B?

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 8x22B?

MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is MiMo-V2.6-Pro or Mixtral 8x22B better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 64K.

How many benchmarks do MiMo-V2.6-Pro and Mixtral 8x22B share?

12 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Mixtral 8x22B has 34.

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