Noometry

Model comparison

Gemini 2.5 Flash-Lite vs MiMo-V2-Omni

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 37.0 on the Noometry Index.

Last verified . 18 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

MiMo-V2-Omni Xiaomi

43.6

Rank #88 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and MiMo-V2-Omni in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in long context, where MiMo-V2-Omni leads 44.1 to 33.3.
  • Both cost about the same: $0.10 input and $0.40 output per million tokens.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.

Side by side

Gemini 2.5 Flash-LiteMiMo-V2-Omni
ProviderGoogleXiaomi
Noometry Index37.043.6
Released2025-06-172026-03-18
WeightsProprietaryProprietary
Context window1.05M262K
Max output66K131K
Input $ / M tokens$0.10$0.14
Output $ / M tokens$0.40$0.28
Results tracked3318

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Category by category

Coding MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 38.5 (#173), MiMo-V2-Omni: 43.3 (#89)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Coding13731466
WeirdML35.2%—
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), MiMo-V2-Omni: —

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
Berkeley Function Calling Leaderboard36.9%—

Reasoning MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 22.2 (#205), MiMo-V2-Omni: 29.7 (#88)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Hard Prompts13771445
Kagi LLM Benchmark40.5%—
DTBench62.8%—
LMCA18.1%—
Epoch Capabilities Index133.94—

Math MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 38.0 (#144), MiMo-V2-Omni: 39.1 (#115)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Math13731430
Omni-MATH48%—

Knowledge MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 32.5 (#210), MiMo-V2-Omni: 40.5 (#118)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Expert13731449
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—

Multimodal MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 29.1 (#114), MiMo-V2-Omni: 38.6 (#63)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Vision11981228
VPCT30%—

Multilingual MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 49.3 (#134), MiMo-V2-Omni: 51.8 (#102)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Non-English13691404
LMArena Chinese14041465
LMArena French13881447
LMArena German13891399
LMArena Japanese13591317
LMArena Korean13601355
LMArena Russian13731412
LMArena Spanish13961434

Instruction Following MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 70.0 (#168), MiMo-V2-Omni: 75.2 (#66)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Instruction Following13671428
IFEval81%—

Long Context MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 33.3 (#262), MiMo-V2-Omni: 44.1 (#76)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Longer Query13731442
Fiction.LiveBench47.2%—

Writing & Preference MiMo-V2-Omni leads

Gemini 2.5 Flash-Lite: 56.8 (#135), MiMo-V2-Omni: 61.4 (#87)

BenchmarkGemini 2.5 Flash-LiteMiMo-V2-Omni
LMArena Text13791423
LMArena Creative Writing13671392
LMArena Multi-Turn13661445
WildBench81.8%—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 37.0 on the Noometry Index.

Which is cheaper, Gemini 2.5 Flash-Lite 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; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.

Is Gemini 2.5 Flash-Lite or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 38.5 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.

How many benchmarks do Gemini 2.5 Flash-Lite and MiMo-V2-Omni share?

18 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and MiMo-V2-Omni has 18.

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