Noometry

Model comparison

GPT-4 vs MiMo-V2.6-Flash

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 29.1 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-4 OpenAI

29.1

Rank #316 Confirmed

MiMo-V2.6-Flash Xiaomi

48.5

Rank #55 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-4 scores higher in 0 categories and MiMo-V2.6-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.6-Flash leads 51.9 to 10.8.
  • MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $30 / $60 for GPT-4.
  • MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 8K.
  • MiMo-V2.6-Flash has downloadable open weights; the other is API-only.

Side by side

GPT-4MiMo-V2.6-Flash
ProviderOpenAIXiaomi
Noometry Index29.148.5
Released2023-03-142026-09-21
WeightsProprietaryOpen
Context window8K1.05M
Max output8K131K
Input $ / M tokens$30$0.14
Output $ / M tokens$60$0.28
Results tracked3819

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Category by category

Coding MiMo-V2.6-Flash leads

GPT-4: 31.6 (#283), MiMo-V2.6-Flash: 53.4 (#30)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Coding12541504
LMArena WebDev—1637
SciCode—51.3%
WeirdML12.4%—
BigCodeBench Instruct46%—
BigCodeBench Complete57.2%—
HumanEval+79.3%—

Agentic & Tool Use Not comparable

GPT-4: —, MiMo-V2.6-Flash: —

BenchmarkGPT-4MiMo-V2.6-Flash
METR Time Horizons36.1%—

Reasoning MiMo-V2.6-Flash leads

GPT-4: 17.8 (#289), MiMo-V2.6-Flash: 36.5 (#66)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Hard Prompts12411482
CritPt—12%
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-V2.6-Flash leads

GPT-4: 10.8 (#309), MiMo-V2.6-Flash: 51.9 (#52)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Math12691468
OTIS Mock AIME 2024-20251.1%—
ProofBench—63%
MATH Level 523%—
GSM8K92%—

Knowledge MiMo-V2.6-Flash leads

GPT-4: 18.4 (#282), MiMo-V2.6-Flash: 42.2 (#99)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Expert12111501
GPQA Diamond35.7%—
MMLU86.4%—
TriviaQA84.8%—

Multimodal Not comparable

GPT-4: —, MiMo-V2.6-Flash: 40.5 (#47)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Vision—1259

Multilingual MiMo-V2.6-Flash leads

GPT-4: 40.6 (#215), MiMo-V2.6-Flash: 54.0 (#51)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Non-English12461434
LMArena Chinese12421511
LMArena French12831475
LMArena Russian12511409
LMArena Spanish12611456
LMArena German1251—
LMArena Japanese1209—
LMArena Korean1184—

Instruction Following MiMo-V2.6-Flash leads

GPT-4: 65.3 (#222), MiMo-V2.6-Flash: 76.8 (#35)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Instruction Following12411463

Long Context MiMo-V2.6-Flash leads

GPT-4: 37.7 (#212), MiMo-V2.6-Flash: 44.8 (#57)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Longer Query12441463

Writing & Preference MiMo-V2.6-Flash leads

GPT-4: 34.9 (#268), MiMo-V2.6-Flash: 63.1 (#67)

BenchmarkGPT-4MiMo-V2.6-Flash
LMArena Text12631455
LMArena Creative Writing12441400
LMArena Multi-Turn12571451
EQ-Bench Creative Writing752—

Frequently asked questions

Is GPT-4 better than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 29.1 on the Noometry Index.

Which is cheaper, GPT-4 or MiMo-V2.6-Flash?

MiMo-V2.6-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-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 8K.

How many benchmarks do GPT-4 and MiMo-V2.6-Flash share?

14 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and MiMo-V2.6-Flash has 19.

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