Noometry

Model comparison

GPT-4 Turbo vs MiMo-V2.5

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 30.5 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-4 Turbo OpenAI

30.5

Rank #292 Confirmed

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and MiMo-V2.5 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.5 leads 36.8 to 9.0.
  • MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 128K.
  • MiMo-V2.5 has downloadable open weights; the other is API-only.

Side by side

GPT-4 TurboMiMo-V2.5
ProviderOpenAIXiaomi
Noometry Index30.543.4
Released2023-11-062026-04-22
WeightsProprietaryOpen
Context window128K1.05M
Max output4K131K
Input $ / M tokens$10$0.14
Output $ / M tokens$30$0.28
Results tracked3623

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Category by category

Coding MiMo-V2.5 leads

GPT-4 Turbo: 33.8 (#249), MiMo-V2.5: 43.9 (#81)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Coding12681469
LMArena WebDev—1438
SciCode—43.1%
WeirdML18%—
BigCodeBench Instruct48.2%—
BigCodeBench Complete58.2%—
ALE-Bench—513.95
HumanEval+86.6%—
MBPP+73.3%—

Agentic & Tool Use Not comparable

GPT-4 Turbo: —, MiMo-V2.5: —

BenchmarkGPT-4 TurboMiMo-V2.5
METR Time Horizons36.7%—

Reasoning MiMo-V2.5 leads

GPT-4 Turbo: 15.3 (#317), MiMo-V2.5: 28.6 (#101)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Hard Prompts12511450
SimpleBench25.1%—
CritPt—3.7%
Chess Puzzles6%—
DTBench61.6%—
LMCA9.8%—
Epoch Capabilities Index127.25—
ForecastBench59.4—

Math MiMo-V2.5 leads

GPT-4 Turbo: 9.0 (#322), MiMo-V2.5: 36.8 (#163)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Math12721436
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.7%—
ProofBench—16%
MATH Level 546.7%—

Knowledge MiMo-V2.5 leads

GPT-4 Turbo: 24.3 (#268), MiMo-V2.5: 40.8 (#115)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Expert12231460
GPQA Diamond46.6%—
Confabulations28.4%—
MMLU81.3%—

Multimodal MiMo-V2.5 leads

GPT-4 Turbo: 30.6 (#110), MiMo-V2.5: 39.8 (#54)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Vision10901247

Multilingual MiMo-V2.5 leads

GPT-4 Turbo: 40.5 (#216), MiMo-V2.5: 51.9 (#99)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Non-English12451404
LMArena Chinese12421468
LMArena French12761447
LMArena German12591421
LMArena Japanese11941306
LMArena Korean11871363
LMArena Russian12591395
LMArena Spanish12601416

Instruction Following MiMo-V2.5 leads

GPT-4 Turbo: 65.8 (#216), MiMo-V2.5: 75.5 (#60)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Instruction Following12491434

Long Context MiMo-V2.5 leads

GPT-4 Turbo: 38.0 (#206), MiMo-V2.5: 44.2 (#73)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Longer Query12541445

Writing & Preference MiMo-V2.5 leads

GPT-4 Turbo: 47.7 (#206), MiMo-V2.5: 61.6 (#86)

BenchmarkGPT-4 TurboMiMo-V2.5
LMArena Text12721428
LMArena Creative Writing12691393
LMArena Multi-Turn12671445

Frequently asked questions

Is GPT-4 Turbo better than MiMo-V2.5?

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 30.5 on the Noometry Index.

Which is cheaper, GPT-4 Turbo 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-4 Turbo lists at $10 and $30.

Is GPT-4 Turbo or MiMo-V2.5 better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 128K.

How many benchmarks do GPT-4 Turbo and MiMo-V2.5 share?

18 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and MiMo-V2.5 has 23.

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