Model comparison

GPT-5.4 nano vs MiMo-V2.5

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 41.9 on the Noometry Index.

Last verified . 22 shared benchmarks.

GPT-5.4 nano OpenAI

41.9

Rank #125 Confirmed

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GPT-5.4 nano scores higher in 2 categories and MiMo-V2.5 in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiMo-V2.5 leads 61.6 to 55.7.
  • The biggest single-benchmark swing is ProofBench: 5% for GPT-5.4 nano and 16% for MiMo-V2.5.
  • MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.20 / $1.25 for GPT-5.4 nano.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 400K.
  • MiMo-V2.5 has downloadable open weights; the other is API-only.

Side by side

GPT-5.4 nano and MiMo-V2.5 specifications
GPT-5.4 nanoMiMo-V2.5
ProviderOpenAIXiaomi
Noometry Index41.943.4
Released2026-03-172026-04-22
WeightsProprietaryOpen
Context window400K1.05M
Max output128K131K
Input $ / M tokens$0.20$0.14
Output $ / M tokens$1.25$0.28
Results tracked4023

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Category by category

Coding Too close to call

GPT-5.4 nano: 43.6 (#84), MiMo-V2.5: 43.9 (#81)

Coding benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
SciCode46.9%43.1%
LMArena Coding14051469
ALE-Bench1,005513.95
LMArena WebDev—1438
WeirdML49.2%—

Reasoning MiMo-V2.5 leads

GPT-5.4 nano: 23.7 (#173), MiMo-V2.5: 28.6 (#101)

Reasoning benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
CritPt9.3%3.7%
LMArena Hard Prompts13811450
ARC-AGI-25.7%—
Kagi LLM Benchmark39.7%—
ARC-AGI-151.5%—
Chess Puzzles30%—
Mystery Game Puzzles9%—
DTBench80.3%—
LMCA36.9%—
Epoch Capabilities Index145.81—
ForecastBench57.3—

Math GPT-5.4 nano leads

GPT-5.4 nano: 40.9 (#88), MiMo-V2.5: 36.8 (#163)

Math benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
ProofBench5%16%
LMArena Math14061436
FrontierMath (Tiers 1-3)44.9%—
FrontierMath Tier 412.2%—
OTIS Mock AIME 2024-202587.8%—
FrontierMath (Feb 2025 set)25.9%—
FrontierMath Tier 4 (v1)6.3%—

Knowledge GPT-5.4 nano leads

GPT-5.4 nano: 41.9 (#103), MiMo-V2.5: 40.8 (#115)

Knowledge benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
LMArena Expert13961460
GPQA Diamond78.5%—
SimpleQA Verified11.7%—
Vectara Hallucination Rate3.1%—

Multimodal MiMo-V2.5 leads

GPT-5.4 nano: 36.7 (#78), MiMo-V2.5: 39.8 (#54)

Multimodal benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
LMArena Vision11961247

Multilingual MiMo-V2.5 leads

GPT-5.4 nano: 48.6 (#140), MiMo-V2.5: 51.9 (#99)

Multilingual benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
LMArena Non-English13591404
LMArena Chinese13921468
LMArena French13961447
LMArena German13671421
LMArena Japanese13431306
LMArena Korean13201363
LMArena Russian13631395
LMArena Spanish13711416

Instruction Following MiMo-V2.5 leads

GPT-5.4 nano: 71.9 (#144), MiMo-V2.5: 75.5 (#60)

Instruction Following benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
LMArena Instruction Following13621434

Long Context MiMo-V2.5 leads

GPT-5.4 nano: 41.6 (#137), MiMo-V2.5: 44.2 (#73)

Long Context benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
LMArena Longer Query13661445

Writing & Preference MiMo-V2.5 leads

GPT-5.4 nano: 55.7 (#142), MiMo-V2.5: 61.6 (#86)

Writing & Preference benchmarks
BenchmarkGPT-5.4 nanoMiMo-V2.5
LMArena Text13721428
LMArena Creative Writing13141393
LMArena Multi-Turn13821445

Frequently asked questions

Is GPT-5.4 nano better than MiMo-V2.5?

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 41.9 on the Noometry Index.

Which is cheaper, GPT-5.4 nano or MiMo-V2.5?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-5.4 nano lists at $0.20 and $1.25.

Is GPT-5.4 nano or MiMo-V2.5 better for coding?

They score almost the same on coding (43.6 vs 43.9); test both on your own repository before choosing.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 400K.

How many benchmarks do GPT-5.4 nano and MiMo-V2.5 share?

22 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and MiMo-V2.5 has 23.

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