Model comparison

MiMo-V2.5-Pro vs MiMo-V2-Omni

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 43.6 on the Noometry Index. MiMo-V2-Omni costs 3.1× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

MiMo-V2.5-Pro Xiaomi

45.2

Rank #74 Confirmed

MiMo-V2-Omni Xiaomi

43.6

Rank #88 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 7 categories and MiMo-V2-Omni in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2.5-Pro leads 47.4 to 43.3.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
  • MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 262K.
  • MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

Side by side

MiMo-V2.5-Pro and MiMo-V2-Omni specifications
MiMo-V2.5-ProMiMo-V2-Omni
ProviderXiaomiXiaomi
Noometry Index45.243.6
Released2026-04-222026-03-18
WeightsOpenProprietary
Context window1.05M262K
Max output131K131K
Input $ / M tokens$0.43$0.14
Output $ / M tokens$0.87$0.28
Results tracked2718

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Category by category

Coding MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 47.4 (#60), MiMo-V2-Omni: 43.3 (#89)

Coding benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Coding15031466
LMArena WebDev1479—
SciCode50.2%—
ALE-Bench899.8—

Reasoning MiMo-V2-Omni leads

MiMo-V2.5-Pro: 26.8 (#130), MiMo-V2-Omni: 29.7 (#88)

Reasoning benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Hard Prompts14881445
NYT Connections (extended)34.4%—
CritPt4%—
DTBench84.5%—
LMCA29.5%—

Math Too close to call

MiMo-V2.5-Pro: 40.0 (#96), MiMo-V2-Omni: 39.1 (#115)

Math benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Math14811430
ProofBench22%—

Knowledge MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 42.2 (#98), MiMo-V2-Omni: 40.5 (#118)

Knowledge benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Expert15031449

Multimodal Not comparable

MiMo-V2.5-Pro: —, MiMo-V2-Omni: 38.6 (#63)

Multimodal benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Vision—1228

Multilingual MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 55.1 (#34), MiMo-V2-Omni: 51.8 (#102)

Multilingual benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Non-English14491404
LMArena Chinese15071465
LMArena French14881447
LMArena German14581399
LMArena Japanese14121317
LMArena Korean14371355
LMArena Russian14501412
LMArena Spanish14711434

Instruction Following MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 77.5 (#21), MiMo-V2-Omni: 75.2 (#66)

Instruction Following benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Instruction Following14771428

Long Context MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 45.4 (#37), MiMo-V2-Omni: 44.1 (#76)

Long Context benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Longer Query14831442

Writing & Preference MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 65.3 (#49), MiMo-V2-Omni: 61.4 (#87)

Writing & Preference benchmarks
BenchmarkMiMo-V2.5-ProMiMo-V2-Omni
LMArena Text14651423
LMArena Creative Writing14401392
LMArena Multi-Turn14771445
EQ-Bench Creative Writing1493—
EQ-Bench 41208—

Frequently asked questions

Is MiMo-V2.5-Pro better than MiMo-V2-Omni?

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 43.6 on the Noometry Index. MiMo-V2-Omni costs 3.1× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.

Which is cheaper, MiMo-V2.5-Pro or MiMo-V2-Omni?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.

Is MiMo-V2.5-Pro or MiMo-V2-Omni better for coding?

MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 43.3 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 262K.

How many benchmarks do MiMo-V2.5-Pro and MiMo-V2-Omni share?

17 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and MiMo-V2-Omni has 18.

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