Noometry

Model comparison

GPT-6 Sol vs MiMo-V2-Pro

GPT-6 Sol is the stronger model overall, scoring 49.2 to 42.4 on the Noometry Index. MiMo-V2-Pro costs 7.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified . 15 shared benchmarks.

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

MiMo-V2-Pro Xiaomi

42.4

Rank #102 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-6 Sol scores higher in 5 categories and MiMo-V2-Pro in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 21.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 90.1% for GPT-6 Sol and 25.8% for MiMo-V2-Pro.
  • MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 1.05M.

Side by side

GPT-6 SolMiMo-V2-Pro
ProviderOpenAIXiaomi
Noometry Index49.242.4
Released2026-09-222026-03-18
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output128K131K
Input $ / M tokens$2$0.43
Output $ / M tokens$10$0.87
Results tracked2223

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Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 59.6 (#11), MiMo-V2-Pro: 43.4 (#76)

BenchmarkGPT-6 SolMiMo-V2-Pro
LMArena WebDev16921433
LMArena Coding14531476
DeepSWE68.8%—
FrontierCode49.3%—
ALE-Bench—785.17

Agentic & Tool Use Not comparable

GPT-6 Sol: 33.5 (#49), MiMo-V2-Pro: —

BenchmarkGPT-6 SolMiMo-V2-Pro
GDP.pdf28%—

Reasoning GPT-6 Sol leads

GPT-6 Sol: 49.3 (#34), MiMo-V2-Pro: 21.3 (#200)

BenchmarkGPT-6 SolMiMo-V2-Pro
NYT Connections (extended)90.1%25.8%
LMArena Hard Prompts14201457
Thematic Generalization—45.9%
EBR-Bench53.3%—

Math Too close to call

GPT-6 Sol: 35.8 (#135), MiMo-V2-Pro: 36.7 (#104)

BenchmarkGPT-6 SolMiMo-V2-Pro
LMArena Math14041447

Knowledge GPT-6 Sol leads

GPT-6 Sol: 43.0 (#87), MiMo-V2-Pro: 40.8 (#106)

BenchmarkGPT-6 SolMiMo-V2-Pro
LMArena Expert14491479
Vectara Hallucination Rate6.5%—

Multimodal Not comparable

GPT-6 Sol: 47.6 (#9), MiMo-V2-Pro: —

BenchmarkGPT-6 SolMiMo-V2-Pro
Furniture Assembly58.3%—

Multilingual MiMo-V2-Pro leads

GPT-6 Sol: 51.0 (#113), MiMo-V2-Pro: 52.9 (#77)

BenchmarkGPT-6 SolMiMo-V2-Pro
LMArena Non-English13891416
LMArena Chinese14161455
LMArena Russian14071427
LMArena Spanish13771458
LMArena French—1470
LMArena German—1417
LMArena Japanese—1366
LMArena Korean—1401

Instruction Following MiMo-V2-Pro leads

GPT-6 Sol: 74.4 (#97), MiMo-V2-Pro: 76.2 (#46)

BenchmarkGPT-6 SolMiMo-V2-Pro
LMArena Instruction Following14061444

Long Context GPT-6 Sol leads

GPT-6 Sol: 43.2 (#100), MiMo-V2-Pro: 41.5 (#133)

BenchmarkGPT-6 SolMiMo-V2-Pro
LMArena Longer Query14151455
CL-bench—15.7%
CL-bench Life—6.9%

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 72.3 (#15), MiMo-V2-Pro: 62.9 (#67)

BenchmarkGPT-6 SolMiMo-V2-Pro
LMArena Text13961436
LMArena Creative Writing13921415
LMArena Multi-Turn14051456
EQ-Bench Creative Writing2125—

Frequently asked questions

Is GPT-6 Sol better than MiMo-V2-Pro?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 42.4 on the Noometry Index. MiMo-V2-Pro costs 7.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Which is cheaper, GPT-6 Sol or MiMo-V2-Pro?

MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is GPT-6 Sol or MiMo-V2-Pro better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 43.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 1.05M.

How many benchmarks do GPT-6 Sol and MiMo-V2-Pro share?

15 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and MiMo-V2-Pro has 23.

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