Noometry

Model comparison

GPT-4 vs MiMo-V2-Omni

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

GPT-4 OpenAI

29.1

Rank #316 Confirmed

MiMo-V2-Omni Xiaomi

43.6

Rank #88 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-4 scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2-Omni leads 39.1 to 10.8.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $30 / $60 for GPT-4.
  • MiMo-V2-Omni accepts more context: 262K tokens versus 8K.

Side by side

GPT-4MiMo-V2-Omni
ProviderOpenAIXiaomi
Noometry Index29.143.6
Released2023-03-142026-03-18
WeightsProprietaryProprietary
Context window8K262K
Max output8K131K
Input $ / M tokens$30$0.14
Output $ / M tokens$60$0.28
Results tracked3818

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Category by category

Coding MiMo-V2-Omni leads

GPT-4: 31.6 (#283), MiMo-V2-Omni: 43.3 (#89)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Coding12541466
WeirdML12.4%—
BigCodeBench Instruct46%—
BigCodeBench Complete57.2%—
HumanEval+79.3%—

Agentic & Tool Use Not comparable

GPT-4: —, MiMo-V2-Omni: —

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

Reasoning MiMo-V2-Omni leads

GPT-4: 17.8 (#289), MiMo-V2-Omni: 29.7 (#88)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Hard Prompts12411445
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-Omni leads

GPT-4: 10.8 (#309), MiMo-V2-Omni: 39.1 (#115)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Math12691430
OTIS Mock AIME 2024-20251.1%—
MATH Level 523%—
GSM8K92%—

Knowledge MiMo-V2-Omni leads

GPT-4: 18.4 (#282), MiMo-V2-Omni: 40.5 (#118)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Expert12111449
GPQA Diamond35.7%—
MMLU86.4%—
TriviaQA84.8%—

Multimodal Not comparable

GPT-4: —, MiMo-V2-Omni: 38.6 (#63)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Vision—1228

Multilingual MiMo-V2-Omni leads

GPT-4: 40.6 (#215), MiMo-V2-Omni: 51.8 (#102)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Non-English12461404
LMArena Chinese12421465
LMArena French12831447
LMArena German12511399
LMArena Japanese12091317
LMArena Korean11841355
LMArena Russian12511412
LMArena Spanish12611434

Instruction Following MiMo-V2-Omni leads

GPT-4: 65.3 (#222), MiMo-V2-Omni: 75.2 (#66)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Instruction Following12411428

Long Context MiMo-V2-Omni leads

GPT-4: 37.7 (#212), MiMo-V2-Omni: 44.1 (#76)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Longer Query12441442

Writing & Preference MiMo-V2-Omni leads

GPT-4: 34.9 (#268), MiMo-V2-Omni: 61.4 (#87)

BenchmarkGPT-4MiMo-V2-Omni
LMArena Text12631423
LMArena Creative Writing12441392
LMArena Multi-Turn12571445
EQ-Bench Creative Writing752—

Frequently asked questions

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

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 29.1 on the Noometry Index.

Which is cheaper, GPT-4 or MiMo-V2-Omni?

MiMo-V2-Omni 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-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

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

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

17 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and MiMo-V2-Omni has 18.

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