Noometry

Model comparison

GPT-4 Turbo vs MiMo-V2.6-Flash

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 30.3 on the Noometry Index.

Last verified . 13 shared benchmarks.

GPT-4 Turbo OpenAI

30.3

Rank #281 Confirmed

MiMo-V2.6-Flash Xiaomi

44.4

Rank #74 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and MiMo-V2.6-Flash in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.6-Flash leads 37.4 to 8.6.
  • MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
  • MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 128K.
  • MiMo-V2.6-Flash has downloadable open weights; the other is API-only.

Side by side

GPT-4 TurboMiMo-V2.6-Flash
ProviderOpenAIXiaomi
Noometry Index30.344.4
Released2023-11-062026-09-22
WeightsProprietaryOpen
Context window128K1.05M
Max output4K131K
Input $ / M tokens$10$0.14
Output $ / M tokens$30$0.28
Results tracked3613

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Category by category

Coding MiMo-V2.6-Flash leads

GPT-4 Turbo: 33.4 (#247), MiMo-V2.6-Flash: 44.3 (#68)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Coding12681516
WeirdML18%—
BigCodeBench Instruct48.2%—
BigCodeBench Complete58.2%—
HumanEval+86.6%—
MBPP+73.3%—

Agentic & Tool Use Not comparable

GPT-4 Turbo: —, MiMo-V2.6-Flash: —

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
METR Time Horizons36.7%—

Reasoning MiMo-V2.6-Flash leads

GPT-4 Turbo: 14.9 (#311), MiMo-V2.6-Flash: 29.6 (#82)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Hard Prompts12511481
SimpleBench25.1%—
Chess Puzzles6%—
DTBench61.6%—
LMCA9.8%—
Epoch Capabilities Index127.25—
ForecastBench59.4—

Math MiMo-V2.6-Flash leads

GPT-4 Turbo: 8.6 (#316), MiMo-V2.6-Flash: 37.4 (#97)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Math12721477
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.7%—
MATH Level 546.7%—

Knowledge MiMo-V2.6-Flash leads

GPT-4 Turbo: 24.3 (#263), MiMo-V2.6-Flash: 42.0 (#91)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Expert12231516
GPQA Diamond46.6%—
Confabulations28.4%—
MMLU81.3%—

Multimodal MiMo-V2.6-Flash leads

GPT-4 Turbo: 30.0 (#104), MiMo-V2.6-Flash: 40.2 (#39)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Vision10901266

Multilingual MiMo-V2.6-Flash leads

GPT-4 Turbo: 40.7 (#211), MiMo-V2.6-Flash: 54.6 (#41)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Non-English12451439
LMArena Chinese12421501
LMArena Russian12591424
LMArena French1275—
LMArena German1259—
LMArena Japanese1194—
LMArena Korean1187—
LMArena Spanish1260—

Instruction Following MiMo-V2.6-Flash leads

GPT-4 Turbo: 66.0 (#211), MiMo-V2.6-Flash: 77.0 (#33)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Instruction Following12501463

Long Context MiMo-V2.6-Flash leads

GPT-4 Turbo: 38.0 (#200), MiMo-V2.6-Flash: 44.8 (#52)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Longer Query12541465

Writing & Preference MiMo-V2.6-Flash leads

GPT-4 Turbo: 47.9 (#201), MiMo-V2.6-Flash: 63.9 (#61)

BenchmarkGPT-4 TurboMiMo-V2.6-Flash
LMArena Text12721459
LMArena Creative Writing12691408
LMArena Multi-Turn12671460

Frequently asked questions

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

MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 30.3 on the Noometry Index.

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

Is GPT-4 Turbo or MiMo-V2.6-Flash better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 44.3 versus 33.4 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 128K.

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

13 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and MiMo-V2.6-Flash has 13.

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