Model comparison

MiMo-V2-Pro vs Ministral 8B

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 28.2 on the Noometry Index. Ministral 8B costs 3.6× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

MiMo-V2-Pro Xiaomi

43.0

Rank #103 Confirmed

Ministral 8B Mistral AI

28.2

Rank #325 Confirmed

Summary

  • They share 12 benchmarks with published results for both. MiMo-V2-Pro scores higher in 8 categories and Ministral 8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where MiMo-V2-Pro leads 41.4 to 12.6.
  • Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
  • MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
  • Ministral 8B has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-Pro and Ministral 8B specifications
MiMo-V2-ProMinistral 8B
ProviderXiaomiMistral AI
Noometry Index43.028.2
Released2026-03-182024-10-01
WeightsProprietaryOpen
Context window1.05M262K
Max output131K262K
Input $ / M tokens$0.43$0.15
Output $ / M tokens$0.87$0.15
Results tracked2317

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Category by category

Coding MiMo-V2-Pro leads

MiMo-V2-Pro: 43.8 (#83), Ministral 8B: 35.0 (#230)

Coding benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
LMArena Coding14761202
LMArena WebDev1433—
ALE-Bench785.17—

Agentic & Tool Use Not comparable

MiMo-V2-Pro: —, Ministral 8B: 16.4 (#148)

Agentic & Tool Use benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
Berkeley Function Calling Leaderboard—11.1%

Reasoning MiMo-V2-Pro leads

MiMo-V2-Pro: 22.1 (#206), Ministral 8B: 18.4 (#281)

Reasoning benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
LMArena Hard Prompts14571191
NYT Connections (extended)25.8%—
Thematic Generalization45.9%—
DTBench—45.7%

Math MiMo-V2-Pro leads

MiMo-V2-Pro: 39.5 (#102), Ministral 8B: 25.7 (#267)

Math benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
LMArena Math14471188
MATH Level 5—14.9%

Knowledge MiMo-V2-Pro leads

MiMo-V2-Pro: 41.4 (#111), Ministral 8B: 12.6 (#297)

Knowledge benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
LMArena Expert14781170
GPQA Diamond—27.1%
Vectara Hallucination Rate—7.4%

Multilingual MiMo-V2-Pro leads

MiMo-V2-Pro: 52.7 (#81), Ministral 8B: 35.1 (#247)

Multilingual benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
LMArena Non-English14161165
LMArena Chinese14561193
LMArena Russian14271195
LMArena French1469—
LMArena German1417—
LMArena Japanese1366—
LMArena Korean1400—
LMArena Spanish1457—

Instruction Following MiMo-V2-Pro leads

MiMo-V2-Pro: 76.0 (#49), Ministral 8B: 60.5 (#250)

Instruction Following benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
LMArena Instruction Following14451161

Long Context MiMo-V2-Pro leads

MiMo-V2-Pro: 41.5 (#138), Ministral 8B: 36.7 (#227)

Long Context benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
LMArena Longer Query14551212
CL-bench15.7%—
CL-bench Life6.9%—

Writing & Preference MiMo-V2-Pro leads

MiMo-V2-Pro: 62.8 (#70), Ministral 8B: 39.6 (#246)

Writing & Preference benchmarks
BenchmarkMiMo-V2-ProMinistral 8B
LMArena Text14361191
LMArena Creative Writing14151175
LMArena Multi-Turn14561166

Frequently asked questions

Is MiMo-V2-Pro better than Ministral 8B?

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 28.2 on the Noometry Index. Ministral 8B costs 3.6× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.

Which is cheaper, MiMo-V2-Pro or Ministral 8B?

Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.

Is MiMo-V2-Pro or Ministral 8B better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 35.0 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 262K.

How many benchmarks do MiMo-V2-Pro and Ministral 8B share?

12 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Ministral 8B has 17.

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