Noometry

Model comparison

GPT-4.1 nano vs MiMo-V2-Flash

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 27.9 on the Noometry Index.

Last verified . 16 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and MiMo-V2-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where MiMo-V2-Flash leads 43.0 to 23.7.
  • 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.
  • MiMo-V2-Flash has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoMiMo-V2-Flash
ProviderOpenAIXiaomi
Noometry Index27.941.3
Released2025-04-142025-12-16
WeightsProprietaryOpen
Context window1.05M262K
Max output33K66K
Input $ / M tokens$0.10$0.14
Output $ / M tokens$0.40$0.28
Results tracked3821

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Category by category

Coding MiMo-V2-Flash leads

GPT-4.1 nano: 24.1 (#330), MiMo-V2-Flash: 36.1 (#211)

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
SciCode25.9%25.9%
LMArena Coding13061443
Aider Polyglot8.9%—
LMArena WebDev—1330
WeirdML19%—
ALE-Bench—737.95

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.5 (#104), MiMo-V2-Flash: —

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

Reasoning MiMo-V2-Flash leads

GPT-4.1 nano: 8.5 (#349), MiMo-V2-Flash: 24.9 (#157)

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
CritPt0%0%
LMArena Hard Prompts12861420
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
DTBench52.5%—
LMCA5.5%—
Epoch Capabilities Index129.62—

Math MiMo-V2-Flash leads

GPT-4.1 nano: 26.9 (#252), MiMo-V2-Flash: 38.3 (#139)

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
LMArena Math12741396
OTIS Mock AIME 2024-202528.9%—
Omni-MATH36.7%—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge MiMo-V2-Flash leads

GPT-4.1 nano: 21.8 (#273), MiMo-V2-Flash: 39.7 (#131)

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
LMArena Expert12721425
GPQA Diamond48.9%—
SimpleQA Verified6%—
MMLU-Pro55%—
GPQA (HELM)50.7%—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), MiMo-V2-Flash: —

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
LMArena Vision1063—

Multilingual MiMo-V2-Flash leads

GPT-4.1 nano: 41.6 (#205), MiMo-V2-Flash: 51.0 (#113)

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
LMArena Non-English12601392
LMArena Chinese12701462
LMArena German12881395
LMArena Japanese11981325
LMArena Russian12611387
LMArena French—1429
LMArena Korean—1358
LMArena Spanish—1420

Instruction Following MiMo-V2-Flash leads

GPT-4.1 nano: 67.8 (#193), MiMo-V2-Flash: 73.5 (#120)

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
LMArena Instruction Following12671392
IFEval84.3%—

Long Context MiMo-V2-Flash leads

GPT-4.1 nano: 23.7 (#296), MiMo-V2-Flash: 43.0 (#110)

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
LMArena Longer Query12831409
Fiction.LiveBench25%—

Writing & Preference MiMo-V2-Flash leads

GPT-4.1 nano: 40.5 (#243), MiMo-V2-Flash: 59.7 (#106)

BenchmarkGPT-4.1 nanoMiMo-V2-Flash
LMArena Text12851411
LMArena Creative Writing12601375
LMArena Multi-Turn12771404
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

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

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 27.9 on the Noometry Index.

Which is cheaper, GPT-4.1 nano or MiMo-V2-Flash?

MiMo-V2-Flash 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-Flash better for coding?

MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 24.1 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-Flash share?

16 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and MiMo-V2-Flash has 21.

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