Noometry

Model comparison

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

MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 30.3 on the Noometry Index.

Last verified . 13 shared benchmarks.

GPT-4 Turbo OpenAI

30.3

Rank #281 Confirmed

MiMo-V2.6-Pro Xiaomi

46.7

Rank #55 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and MiMo-V2.6-Pro in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2.6-Pro leads 37.9 to 8.6.
  • MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
  • MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 128K.
  • MiMo-V2.6-Pro has downloadable open weights; the other is API-only.

Side by side

GPT-4 TurboMiMo-V2.6-Pro
ProviderOpenAIXiaomi
Noometry Index30.346.7
Released2023-11-062026-09-22
WeightsProprietaryOpen
Context window128K1.05M
Max output4K131K
Input $ / M tokens$10$0.43
Output $ / M tokens$30$0.87
Results tracked3614

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Category by category

Coding MiMo-V2.6-Pro leads

GPT-4 Turbo: 33.4 (#247), MiMo-V2.6-Pro: 53.2 (#27)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Coding12681538
LMArena WebDev—1618
WeirdML18%—
BigCodeBench Instruct48.2%—
BigCodeBench Complete58.2%—
HumanEval+86.6%—
MBPP+73.3%—

Agentic & Tool Use Not comparable

GPT-4 Turbo: —, MiMo-V2.6-Pro: —

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

Reasoning MiMo-V2.6-Pro leads

GPT-4 Turbo: 14.9 (#311), MiMo-V2.6-Pro: 30.4 (#76)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Hard Prompts12511511
SimpleBench25.1%—
Chess Puzzles6%—
DTBench61.6%—
LMCA9.8%—
Epoch Capabilities Index127.25—
ForecastBench59.4—

Math MiMo-V2.6-Pro leads

GPT-4 Turbo: 8.6 (#316), MiMo-V2.6-Pro: 37.9 (#91)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Math12721497
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.7%—
MATH Level 546.7%—

Knowledge MiMo-V2.6-Pro leads

GPT-4 Turbo: 24.3 (#263), MiMo-V2.6-Pro: 43.0 (#85)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Expert12231548
GPQA Diamond46.6%—
Confabulations28.4%—
MMLU81.3%—

Multimodal MiMo-V2.6-Pro leads

GPT-4 Turbo: 30.0 (#104), MiMo-V2.6-Pro: 40.2 (#40)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Vision10901265

Multilingual MiMo-V2.6-Pro leads

GPT-4 Turbo: 40.7 (#211), MiMo-V2.6-Pro: 57.0 (#15)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Non-English12451474
LMArena Chinese12421532
LMArena Russian12591481
LMArena French1275—
LMArena German1259—
LMArena Japanese1194—
LMArena Korean1187—
LMArena Spanish1260—

Instruction Following MiMo-V2.6-Pro leads

GPT-4 Turbo: 66.0 (#211), MiMo-V2.6-Pro: 78.2 (#10)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Instruction Following12501490

Long Context MiMo-V2.6-Pro leads

GPT-4 Turbo: 38.0 (#200), MiMo-V2.6-Pro: 46.0 (#26)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Longer Query12541500

Writing & Preference MiMo-V2.6-Pro leads

GPT-4 Turbo: 47.9 (#201), MiMo-V2.6-Pro: 66.9 (#32)

BenchmarkGPT-4 TurboMiMo-V2.6-Pro
LMArena Text12721491
LMArena Creative Writing12691465
LMArena Multi-Turn12671463

Frequently asked questions

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

MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 30.3 on the Noometry Index.

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

MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-4 Turbo lists at $10 and $30.

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

MiMo-V2.6-Pro scores higher on coding benchmarks: 53.2 versus 33.4 in the Noometry coding category.

Which has the bigger context window?

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

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

13 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and MiMo-V2.6-Pro has 14.

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