Noometry

Model comparison

GPT-4 Turbo vs MiMo-V2-Flash

MiMo-V2-Flash is the stronger model overall, scoring 40.8 to 30.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-4 Turbo OpenAI

30.3

Rank #281 Confirmed

MiMo-V2-Flash Xiaomi

40.8

Rank #137 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and MiMo-V2-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2-Flash leads 35.6 to 8.6.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
  • MiMo-V2-Flash accepts more context: 262K tokens versus 128K.
  • MiMo-V2-Flash has downloadable open weights; the other is API-only.

Side by side

GPT-4 TurboMiMo-V2-Flash
ProviderOpenAIXiaomi
Noometry Index30.340.8
Released2023-11-062025-12-16
WeightsProprietaryOpen
Context window128K262K
Max output4K66K
Input $ / M tokens$10$0.14
Output $ / M tokens$30$0.28
Results tracked3621

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Category by category

Coding MiMo-V2-Flash leads

GPT-4 Turbo: 33.4 (#247), MiMo-V2-Flash: 35.8 (#205)

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Coding12681443
LMArena WebDev—1330
SciCode—25.9%
WeirdML18%—
BigCodeBench Instruct48.2%—
BigCodeBench Complete58.2%—
ALE-Bench—737.95
HumanEval+86.6%—
MBPP+73.3%—

Agentic & Tool Use Not comparable

GPT-4 Turbo: —, MiMo-V2-Flash: —

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

Reasoning MiMo-V2-Flash leads

GPT-4 Turbo: 14.9 (#311), MiMo-V2-Flash: 24.1 (#155)

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Hard Prompts12511420
SimpleBench25.1%—
CritPt—0%
Chess Puzzles6%—
DTBench61.6%—
LMCA9.8%—
Epoch Capabilities Index127.25—
ForecastBench59.4—

Math MiMo-V2-Flash leads

GPT-4 Turbo: 8.6 (#316), MiMo-V2-Flash: 35.6 (#141)

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Math12721396
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.7%—
MATH Level 546.7%—

Knowledge MiMo-V2-Flash leads

GPT-4 Turbo: 24.3 (#263), MiMo-V2-Flash: 39.1 (#126)

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Expert12231425
GPQA Diamond46.6%—
Confabulations28.4%—
MMLU81.3%—

Multimodal Not comparable

GPT-4 Turbo: 30.0 (#104), MiMo-V2-Flash: —

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Vision1090—

Multilingual MiMo-V2-Flash leads

GPT-4 Turbo: 40.7 (#211), MiMo-V2-Flash: 51.1 (#109)

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Non-English12451391
LMArena Chinese12421463
LMArena French12751429
LMArena German12591395
LMArena Japanese11941324
LMArena Korean11871358
LMArena Russian12591387
LMArena Spanish12601420

Instruction Following MiMo-V2-Flash leads

GPT-4 Turbo: 66.0 (#211), MiMo-V2-Flash: 73.7 (#115)

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Instruction Following12501392

Long Context MiMo-V2-Flash leads

GPT-4 Turbo: 38.0 (#200), MiMo-V2-Flash: 43.0 (#106)

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Longer Query12541409

Writing & Preference MiMo-V2-Flash leads

GPT-4 Turbo: 47.9 (#201), MiMo-V2-Flash: 59.9 (#101)

BenchmarkGPT-4 TurboMiMo-V2-Flash
LMArena Text12721411
LMArena Creative Writing12691375
LMArena Multi-Turn12671404

Frequently asked questions

Is GPT-4 Turbo better than MiMo-V2-Flash?

MiMo-V2-Flash is the stronger model overall, scoring 40.8 to 30.3 on the Noometry Index.

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

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

MiMo-V2-Flash scores higher on coding benchmarks: 35.8 versus 33.4 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 128K.

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

17 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and MiMo-V2-Flash has 21.

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