Noometry

Model comparison

Gemma 3 12B vs MiMo-V2-Omni

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.8 on the Noometry Index. Gemma 3 12B 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 . 12 shared benchmarks.

Gemma 3 12B Google

31.8

Rank #255 Confirmed

MiMo-V2-Omni Xiaomi

42.9

Rank #91 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Gemma 3 12B scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2-Omni leads 36.4 to 21.0.
  • Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
  • MiMo-V2-Omni accepts more context: 262K tokens versus 131K.
  • Gemma 3 12B has downloadable open weights; the other is API-only.

Side by side

Gemma 3 12BMiMo-V2-Omni
ProviderGoogleXiaomi
Noometry Index31.842.9
Released2025-03-122026-03-18
WeightsOpenProprietary
Context window131K262K
Max output8K131K
Input $ / M tokens$0.05$0.14
Output $ / M tokens$0.15$0.28
Results tracked2418

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Category by category

Coding MiMo-V2-Omni leads

Gemma 3 12B: 31.2 (#276), MiMo-V2-Omni: 42.7 (#87)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Coding12811467
SciCode17.4%—

Agentic & Tool Use Not comparable

Gemma 3 12B: 25.3 (#101), MiMo-V2-Omni: —

BenchmarkGemma 3 12BMiMo-V2-Omni
Berkeley Function Calling Leaderboard30.4%—

Reasoning MiMo-V2-Omni leads

Gemma 3 12B: 15.2 (#307), MiMo-V2-Omni: 28.6 (#86)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Hard Prompts13091445
CritPt0%—
Chess Puzzles0%—
DTBench48.8%—
LMCA4.5%—
Epoch Capabilities Index123.49—

Math MiMo-V2-Omni leads

Gemma 3 12B: 21.0 (#273), MiMo-V2-Omni: 36.4 (#112)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Math13071432
OTIS Mock AIME 2024-202516.7%—

Knowledge MiMo-V2-Omni leads

Gemma 3 12B: 26.5 (#250), MiMo-V2-Omni: 39.9 (#114)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Expert12481449
GPQA Diamond39.5%—
Vectara Hallucination Rate4.4%—

Multimodal Not comparable

Gemma 3 12B: —, MiMo-V2-Omni: 37.9 (#62)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Vision—1228
MindCube46.7%—

Multilingual MiMo-V2-Omni leads

Gemma 3 12B: 45.9 (#160), MiMo-V2-Omni: 52.0 (#97)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Non-English13181404
LMArena German13701398
LMArena Russian13351412
LMArena Chinese—1469
LMArena French—1448
LMArena Japanese—1318
LMArena Korean—1355
LMArena Spanish—1432

Instruction Following MiMo-V2-Omni leads

Gemma 3 12B: 68.8 (#179), MiMo-V2-Omni: 75.4 (#62)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Instruction Following12991428

Long Context MiMo-V2-Omni leads

Gemma 3 12B: 40.0 (#157), MiMo-V2-Omni: 44.1 (#72)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Longer Query13171442

Writing & Preference MiMo-V2-Omni leads

Gemma 3 12B: 47.7 (#205), MiMo-V2-Omni: 61.6 (#83)

BenchmarkGemma 3 12BMiMo-V2-Omni
LMArena Text13341424
LMArena Creative Writing13311393
LMArena Multi-Turn13341446
EQ-Bench Creative Writing1126—

Frequently asked questions

Is Gemma 3 12B better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.8 on the Noometry Index. Gemma 3 12B 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 3 12B or MiMo-V2-Omni?

Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.

Is Gemma 3 12B or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 31.2 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 131K.

How many benchmarks do Gemma 3 12B and MiMo-V2-Omni share?

12 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and MiMo-V2-Omni has 18.

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