Noometry

Model comparison

GPT-4.1 nano vs MiMo-V2-Omni

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 27.7 on the Noometry Index.

Last verified . 15 shared benchmarks.

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

MiMo-V2-Omni Xiaomi

42.9

Rank #91 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and MiMo-V2-Omni in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.6 to 40.7.
  • Both cost about the same: $0.10 input and $0.40 output per million tokens.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 262K.

Side by side

GPT-4.1 nanoMiMo-V2-Omni
ProviderOpenAIXiaomi
Noometry Index27.742.9
Released2025-04-142026-03-18
WeightsProprietaryProprietary
Context window1.05M262K
Max output33K131K
Input $ / M tokens$0.10$0.14
Output $ / M tokens$0.40$0.28
Results tracked3818

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Category by category

Coding MiMo-V2-Omni leads

GPT-4.1 nano: 23.8 (#325), MiMo-V2-Omni: 42.7 (#87)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Coding13061467
Aider Polyglot8.9%—
SciCode25.9%—
WeirdML19%—

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.3 (#98), MiMo-V2-Omni: —

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
Berkeley Function Calling Leaderboard33%—

Reasoning MiMo-V2-Omni leads

GPT-4.1 nano: 8.6 (#344), MiMo-V2-Omni: 28.6 (#86)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Hard Prompts12861445
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
CritPt0%—
DTBench52.5%—
LMCA5.5%—
Epoch Capabilities Index129.62—

Math MiMo-V2-Omni leads

GPT-4.1 nano: 25.5 (#246), MiMo-V2-Omni: 36.4 (#112)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Math12741432
OTIS Mock AIME 2024-202528.9%—
Omni-MATH36.7%—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge MiMo-V2-Omni leads

GPT-4.1 nano: 21.8 (#268), MiMo-V2-Omni: 39.9 (#114)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Expert12721449
GPQA Diamond48.9%—
SimpleQA Verified6%—
MMLU-Pro55%—
GPQA (HELM)50.7%—

Multimodal MiMo-V2-Omni leads

GPT-4.1 nano: 28.6 (#108), MiMo-V2-Omni: 37.9 (#62)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Vision10631228

Multilingual MiMo-V2-Omni leads

GPT-4.1 nano: 41.8 (#200), MiMo-V2-Omni: 52.0 (#97)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Non-English12601404
LMArena Chinese12701469
LMArena German12881398
LMArena Japanese11991318
LMArena Russian12611412
LMArena French—1448
LMArena Korean—1355
LMArena Spanish—1432

Instruction Following MiMo-V2-Omni leads

GPT-4.1 nano: 68.0 (#188), MiMo-V2-Omni: 75.4 (#62)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Instruction Following12671428
IFEval84.3%—

Long Context MiMo-V2-Omni leads

GPT-4.1 nano: 23.7 (#291), MiMo-V2-Omni: 44.1 (#72)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Longer Query12831442
Fiction.LiveBench25%—

Writing & Preference MiMo-V2-Omni leads

GPT-4.1 nano: 40.7 (#238), MiMo-V2-Omni: 61.6 (#83)

BenchmarkGPT-4.1 nanoMiMo-V2-Omni
LMArena Text12851424
LMArena Creative Writing12601393
LMArena Multi-Turn12771446
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

Is GPT-4.1 nano better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 27.7 on the Noometry Index.

Which is cheaper, GPT-4.1 nano 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; GPT-4.1 nano lists at $0.10 and $0.40.

Is GPT-4.1 nano or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 262K.

How many benchmarks do GPT-4.1 nano and MiMo-V2-Omni share?

15 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and MiMo-V2-Omni has 18.

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