Noometry

Model comparison

MiMo-V2.5-Pro vs Trinity Large Thinking

MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 38.1 on the Noometry Index.

Last verified . 21 shared benchmarks.

MiMo-V2.5-Pro Xiaomi

44.8

Rank #70 Confirmed

Trinity Large Thinking Arcee AI

38.1

Rank #180 Confirmed

Summary

  • They share 21 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 8 categories and Trinity Large Thinking in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2.5-Pro leads 47.0 to 33.8.
  • The biggest single-benchmark swing is NYT Connections (extended): 34.4% for MiMo-V2.5-Pro and 16.5% for Trinity Large Thinking.
  • Trinity Large Thinking is cheaper at $0.25 / $0.80 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.

Side by side

MiMo-V2.5-ProTrinity Large Thinking
ProviderXiaomiArcee AI
Noometry Index44.838.1
Released2026-04-222026-04-01
WeightsOpenOpen
Context window1.05M262K
Max output131K80K
Input $ / M tokens$0.43$0.25
Output $ / M tokens$0.87$0.80
Results tracked2724

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Category by category

Coding MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 47.0 (#58), Trinity Large Thinking: 33.8 (#238)

BenchmarkMiMo-V2.5-ProTrinity Large Thinking
LMArena WebDev14771238
SciCode50.2%36.1%
LMArena Coding15021381
ALE-Bench899.8—

Reasoning MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 25.9 (#124), Trinity Large Thinking: 16.3 (#298)

BenchmarkMiMo-V2.5-ProTrinity Large Thinking
NYT Connections (extended)34.4%16.5%
CritPt4%0.9%
LMArena Hard Prompts14871350
Thematic Generalization—41.6%
DTBench84.5%—
LMCA29.5%—
Surface Evolver Bench—15.6%

Math MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 38.6 (#84), Trinity Large Thinking: 34.9 (#149)

BenchmarkMiMo-V2.5-ProTrinity Large Thinking
LMArena Math14801366
ProofBench22%—

Knowledge MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 41.5 (#100), Trinity Large Thinking: 40.3 (#107)

BenchmarkMiMo-V2.5-ProTrinity Large Thinking
LMArena Expert15011359
Vectara Hallucination Rate—6.9%

Multilingual MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 55.3 (#33), Trinity Large Thinking: 46.4 (#155)

BenchmarkMiMo-V2.5-ProTrinity Large Thinking
LMArena Non-English14491325
LMArena Chinese15071372
LMArena French14891374
LMArena German14551356
LMArena Japanese14181312
LMArena Korean14361304
LMArena Russian14501338
LMArena Spanish14701356

Instruction Following MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 77.6 (#21), Trinity Large Thinking: 70.7 (#157)

BenchmarkMiMo-V2.5-ProTrinity Large Thinking
LMArena Instruction Following14771334

Long Context MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 45.4 (#38), Trinity Large Thinking: 41.2 (#139)

BenchmarkMiMo-V2.5-ProTrinity Large Thinking
LMArena Longer Query14821355

Writing & Preference MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 65.5 (#47), Trinity Large Thinking: 54.0 (#152)

BenchmarkMiMo-V2.5-ProTrinity Large Thinking
LMArena Text14651340
LMArena Creative Writing14401321
LMArena Multi-Turn14771342
EQ-Bench Creative Writing1493—
EQ-Bench 41208—

Frequently asked questions

Is MiMo-V2.5-Pro better than Trinity Large Thinking?

MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 38.1 on the Noometry Index.

Which is cheaper, MiMo-V2.5-Pro or Trinity Large Thinking?

Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.

Is MiMo-V2.5-Pro or Trinity Large Thinking better for coding?

MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 33.8 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 Trinity Large Thinking share?

21 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Trinity Large Thinking has 24.

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