Model comparison

Gemma 3n E4b IT vs MiMo-V2-Omni

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 2.3× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

Gemma 3n E4b IT Google

36.7

Rank #203 Confirmed

MiMo-V2-Omni Xiaomi

42.9

Rank #91 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.6 to 50.3.
  • Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
  • MiMo-V2-Omni accepts more context: 262K tokens versus 33K.
  • Gemma 3n E4b IT has downloadable open weights; the other is API-only.

Side by side

Gemma 3n E4b IT and MiMo-V2-Omni specifications
Gemma 3n E4b ITMiMo-V2-Omni
ProviderGoogleXiaomi
Noometry Index36.742.9
Released2025-05-202026-03-18
WeightsOpenProprietary
Context window33K262K
Max output33K131K
Input $ / M tokens$0.06$0.14
Output $ / M tokens$0.12$0.28
Results tracked1818

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding MiMo-V2-Omni leads

Gemma 3n E4b IT: 36.4 (#193), MiMo-V2-Omni: 42.7 (#87)

Coding benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Coding12691467

Reasoning MiMo-V2-Omni leads

Gemma 3n E4b IT: 19.2 (#239), MiMo-V2-Omni: 28.6 (#86)

Reasoning benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Hard Prompts12841445
Kagi LLM Benchmark31.5%—

Math MiMo-V2-Omni leads

Gemma 3n E4b IT: 32.5 (#186), MiMo-V2-Omni: 36.4 (#112)

Math benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Math12511432

Knowledge MiMo-V2-Omni leads

Gemma 3n E4b IT: 33.6 (#193), MiMo-V2-Omni: 39.9 (#114)

Knowledge benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Expert12451449

Multimodal Not comparable

Gemma 3n E4b IT: —, MiMo-V2-Omni: 37.9 (#62)

Multimodal benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Vision—1228

Multilingual MiMo-V2-Omni leads

Gemma 3n E4b IT: 43.5 (#179), MiMo-V2-Omni: 52.0 (#97)

Multilingual benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Non-English12851404
LMArena Chinese13101469
LMArena French13301448
LMArena German13121398
LMArena Japanese12741318
LMArena Korean12591355
LMArena Russian12881412
LMArena Spanish13051432

Instruction Following MiMo-V2-Omni leads

Gemma 3n E4b IT: 66.3 (#205), MiMo-V2-Omni: 75.4 (#62)

Instruction Following benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Instruction Following12551428

Long Context MiMo-V2-Omni leads

Gemma 3n E4b IT: 38.8 (#185), MiMo-V2-Omni: 44.1 (#72)

Long Context benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Longer Query12771442

Writing & Preference MiMo-V2-Omni leads

Gemma 3n E4b IT: 50.3 (#181), MiMo-V2-Omni: 61.6 (#83)

Writing & Preference benchmarks
BenchmarkGemma 3n E4b ITMiMo-V2-Omni
LMArena Text13061424
LMArena Creative Writing12871393
LMArena Multi-Turn12761446

Frequently asked questions

Is Gemma 3n E4b IT better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 2.3× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.

Which is cheaper, Gemma 3n E4b IT or MiMo-V2-Omni?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.

Is Gemma 3n E4b IT or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 36.4 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 33K.

How many benchmarks do Gemma 3n E4b IT and MiMo-V2-Omni share?

17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and MiMo-V2-Omni has 18.

Related comparisons

Go deeper