Model comparison

MiMo-V2-Omni vs Trinity Large Thinking

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 38.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiMo-V2-Omni Xiaomi

43.6

Rank #88 Confirmed

Trinity Large Thinking Arcee AI

38.6

Rank #185 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiMo-V2-Omni scores higher in 7 categories and Trinity Large Thinking in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 16.9.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
  • Trinity Large Thinking has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-Omni and Trinity Large Thinking specifications
MiMo-V2-OmniTrinity Large Thinking
ProviderXiaomiArcee AI
Noometry Index43.638.6
Released2026-03-182026-04-01
WeightsProprietaryOpen
Context window262K262K
Max output131K80K
Input $ / M tokens$0.14$0.25
Output $ / M tokens$0.28$0.80
Results tracked1824

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Category by category

Coding MiMo-V2-Omni leads

MiMo-V2-Omni: 43.3 (#89), Trinity Large Thinking: 34.1 (#244)

Coding benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Coding14661381
LMArena WebDev—1238
SciCode—36.1%

Reasoning MiMo-V2-Omni leads

MiMo-V2-Omni: 29.7 (#88), Trinity Large Thinking: 16.9 (#298)

Reasoning benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Hard Prompts14451350
NYT Connections (extended)—16.5%
CritPt—0.9%
Thematic Generalization—41.6%
Surface Evolver Bench—15.6%

Math MiMo-V2-Omni leads

MiMo-V2-Omni: 39.1 (#115), Trinity Large Thinking: 37.6 (#149)

Math benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Math14301366

Knowledge Too close to call

MiMo-V2-Omni: 40.5 (#118), Trinity Large Thinking: 40.9 (#113)

Knowledge benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Expert14491360
Vectara Hallucination Rate—6.9%

Multimodal Not comparable

MiMo-V2-Omni: 38.6 (#63), Trinity Large Thinking: —

Multimodal benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Vision1228—

Multilingual MiMo-V2-Omni leads

MiMo-V2-Omni: 51.8 (#102), Trinity Large Thinking: 46.2 (#160)

Multilingual benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Non-English14041325
LMArena Chinese14651373
LMArena French14471374
LMArena German13991356
LMArena Japanese13171311
LMArena Korean13551306
LMArena Russian14121337
LMArena Spanish14341357

Instruction Following MiMo-V2-Omni leads

MiMo-V2-Omni: 75.2 (#66), Trinity Large Thinking: 70.5 (#162)

Instruction Following benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Instruction Following14281334

Long Context MiMo-V2-Omni leads

MiMo-V2-Omni: 44.1 (#76), Trinity Large Thinking: 41.3 (#144)

Long Context benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Longer Query14421355

Writing & Preference MiMo-V2-Omni leads

MiMo-V2-Omni: 61.4 (#87), Trinity Large Thinking: 53.8 (#158)

Writing & Preference benchmarks
BenchmarkMiMo-V2-OmniTrinity Large Thinking
LMArena Text14231340
LMArena Creative Writing13921320
LMArena Multi-Turn14451342

Frequently asked questions

Is MiMo-V2-Omni better than Trinity Large Thinking?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 38.6 on the Noometry Index.

Which is cheaper, MiMo-V2-Omni or Trinity Large Thinking?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.

Is MiMo-V2-Omni or Trinity Large Thinking better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do MiMo-V2-Omni and Trinity Large Thinking share?

17 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Trinity Large Thinking has 24.

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