Noometry

Model comparison

GPT-4 vs MiMo-V2-Flash

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 29.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-4 OpenAI

29.1

Rank #316 Confirmed

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-4 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 38.3 to 10.8.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $30 / $60 for GPT-4.
  • MiMo-V2-Flash accepts more context: 262K tokens versus 8K.
  • MiMo-V2-Flash has downloadable open weights; the other is API-only.

Side by side

GPT-4MiMo-V2-Flash
ProviderOpenAIXiaomi
Noometry Index29.141.3
Released2023-03-142025-12-16
WeightsProprietaryOpen
Context window8K262K
Max output8K66K
Input $ / M tokens$30$0.14
Output $ / M tokens$60$0.28
Results tracked3821

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Category by category

Coding MiMo-V2-Flash leads

GPT-4: 31.6 (#283), MiMo-V2-Flash: 36.1 (#211)

BenchmarkGPT-4MiMo-V2-Flash
LMArena Coding12541443
LMArena WebDev—1330
SciCode—25.9%
WeirdML12.4%—
BigCodeBench Instruct46%—
BigCodeBench Complete57.2%—
ALE-Bench—737.95
HumanEval+79.3%—

Agentic & Tool Use Not comparable

GPT-4: —, MiMo-V2-Flash: —

BenchmarkGPT-4MiMo-V2-Flash
METR Time Horizons36.1%—

Reasoning MiMo-V2-Flash leads

GPT-4: 17.8 (#289), MiMo-V2-Flash: 24.9 (#157)

BenchmarkGPT-4MiMo-V2-Flash
LMArena Hard Prompts12411420
CritPt—0%
Chess Puzzles4%—
Mystery Game Puzzles12%—
DTBench62.7%—
LMCA17.1%—
BIG-Bench Hard75.1%—
Epoch Capabilities Index125.89—
ForecastBench57.8—
HellaSwag95.3%—
WinoGrande87.5%—

Math MiMo-V2-Flash leads

GPT-4: 10.8 (#309), MiMo-V2-Flash: 38.3 (#139)

BenchmarkGPT-4MiMo-V2-Flash
LMArena Math12691396
OTIS Mock AIME 2024-20251.1%—
MATH Level 523%—
GSM8K92%—

Knowledge MiMo-V2-Flash leads

GPT-4: 18.4 (#282), MiMo-V2-Flash: 39.7 (#131)

BenchmarkGPT-4MiMo-V2-Flash
LMArena Expert12111425
GPQA Diamond35.7%—
MMLU86.4%—
TriviaQA84.8%—

Multilingual MiMo-V2-Flash leads

GPT-4: 40.6 (#215), MiMo-V2-Flash: 51.0 (#113)

BenchmarkGPT-4MiMo-V2-Flash
LMArena Non-English12461392
LMArena Chinese12421462
LMArena French12831429
LMArena German12511395
LMArena Japanese12091325
LMArena Korean11841358
LMArena Russian12511387
LMArena Spanish12611420

Instruction Following MiMo-V2-Flash leads

GPT-4: 65.3 (#222), MiMo-V2-Flash: 73.5 (#120)

BenchmarkGPT-4MiMo-V2-Flash
LMArena Instruction Following12411392

Long Context MiMo-V2-Flash leads

GPT-4: 37.7 (#212), MiMo-V2-Flash: 43.0 (#110)

BenchmarkGPT-4MiMo-V2-Flash
LMArena Longer Query12441409

Writing & Preference MiMo-V2-Flash leads

GPT-4: 34.9 (#268), MiMo-V2-Flash: 59.7 (#106)

BenchmarkGPT-4MiMo-V2-Flash
LMArena Text12631411
LMArena Creative Writing12441375
LMArena Multi-Turn12571404
EQ-Bench Creative Writing752—

Frequently asked questions

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

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 29.1 on the Noometry Index.

Which is cheaper, GPT-4 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 lists at $30 and $60.

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

MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 8K.

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

17 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and MiMo-V2-Flash has 21.

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