Noometry

Model comparison

GPT-6 Sol vs MiMo-V2-Omni

GPT-6 Sol is the stronger model overall, scoring 49.2 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 23× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified . 13 shared benchmarks.

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

MiMo-V2-Omni Xiaomi

42.9

Rank #91 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 5 categories and MiMo-V2-Omni in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 28.6.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 262K.

Side by side

GPT-6 SolMiMo-V2-Omni
ProviderOpenAIXiaomi
Noometry Index49.242.9
Released2026-09-222026-03-18
WeightsProprietaryProprietary
Context window1.05M262K
Max output128K131K
Input $ / M tokens$2$0.14
Output $ / M tokens$10$0.28
Results tracked2218

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Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 59.6 (#11), MiMo-V2-Omni: 42.7 (#87)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Coding14531467
DeepSWE68.8%—
FrontierCode49.3%—
LMArena WebDev1692—

Agentic & Tool Use Not comparable

GPT-6 Sol: 33.5 (#49), MiMo-V2-Omni: —

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

Reasoning GPT-6 Sol leads

GPT-6 Sol: 49.3 (#34), MiMo-V2-Omni: 28.6 (#86)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Hard Prompts14201445
NYT Connections (extended)90.1%—
EBR-Bench53.3%—

Math Too close to call

GPT-6 Sol: 35.8 (#135), MiMo-V2-Omni: 36.4 (#112)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Math14041432

Knowledge GPT-6 Sol leads

GPT-6 Sol: 43.0 (#87), MiMo-V2-Omni: 39.9 (#114)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Expert14491449
Vectara Hallucination Rate6.5%—

Multimodal GPT-6 Sol leads

GPT-6 Sol: 47.6 (#9), MiMo-V2-Omni: 37.9 (#62)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Vision—1228
Furniture Assembly58.3%—

Multilingual MiMo-V2-Omni leads

GPT-6 Sol: 51.0 (#113), MiMo-V2-Omni: 52.0 (#97)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Non-English13891404
LMArena Chinese14161469
LMArena Russian14071412
LMArena Spanish13771432
LMArena French—1448
LMArena German—1398
LMArena Japanese—1318
LMArena Korean—1355

Instruction Following MiMo-V2-Omni leads

GPT-6 Sol: 74.4 (#97), MiMo-V2-Omni: 75.4 (#62)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Instruction Following14061428

Long Context Too close to call

GPT-6 Sol: 43.2 (#100), MiMo-V2-Omni: 44.1 (#72)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Longer Query14151442

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 72.3 (#15), MiMo-V2-Omni: 61.6 (#83)

BenchmarkGPT-6 SolMiMo-V2-Omni
LMArena Text13961424
LMArena Creative Writing13921393
LMArena Multi-Turn14051446
EQ-Bench Creative Writing2125—

Frequently asked questions

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

GPT-6 Sol is the stronger model overall, scoring 49.2 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 23× 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-Omni?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-6 Sol lists at $2 and $10.

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

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 42.7 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 262K.

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

13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and MiMo-V2-Omni has 18.

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