Model comparison

GPT-6 Luna vs MiMo-V2.6-Flash

GPT-6 Luna and MiMo-V2.6-Flash score almost the same on the Noometry Index (45.1 vs 44.4), so choose on price, context window or the category you care about most.

Last verified . 12 shared benchmarks.

GPT-6 Luna OpenAI

45.1

Rank #65 Confirmed

MiMo-V2.6-Flash Xiaomi

44.4

Rank #74 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-6 Luna scores higher in 3 categories and MiMo-V2.6-Flash in 6 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GPT-6 Luna leads 54.7 to 44.3.
  • MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.10 / $0.50 for GPT-6 Luna.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 1.05M.
  • MiMo-V2.6-Flash has downloadable open weights; the other is API-only.

Side by side

GPT-6 Luna and MiMo-V2.6-Flash specifications
GPT-6 LunaMiMo-V2.6-Flash
ProviderOpenAIXiaomi
Noometry Index45.144.4
Released2026-09-222026-09-22
WeightsProprietaryOpen
Context window1.05M1.05M
Max output128K131K
Input $ / M tokens$0.10$0.14
Output $ / M tokens$0.50$0.28
Results tracked1813

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 54.7 (#24), MiMo-V2.6-Flash: 44.3 (#68)

Coding benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Coding14481516
DeepSWE66.6%—
FrontierCode42.4%—
LMArena WebDev1583—

Reasoning GPT-6 Luna leads

GPT-6 Luna: 31.7 (#68), MiMo-V2.6-Flash: 29.6 (#82)

Reasoning benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Hard Prompts14151481
NYT Connections (extended)68.7%—

Math MiMo-V2.6-Flash leads

GPT-6 Luna: 35.6 (#140), MiMo-V2.6-Flash: 37.4 (#97)

Math benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Math13961477

Knowledge MiMo-V2.6-Flash leads

GPT-6 Luna: 40.1 (#110), MiMo-V2.6-Flash: 42.0 (#91)

Knowledge benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Expert14581516

Multimodal GPT-6 Luna leads

GPT-6 Luna: 42.0 (#27), MiMo-V2.6-Flash: 40.2 (#39)

Multimodal benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Vision—1266
Furniture Assembly44.2%—

Multilingual MiMo-V2.6-Flash leads

GPT-6 Luna: 51.0 (#111), MiMo-V2.6-Flash: 54.6 (#41)

Multilingual benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Non-English13901439
LMArena Chinese14251501
LMArena Russian13921424
LMArena Spanish1416—

Instruction Following MiMo-V2.6-Flash leads

GPT-6 Luna: 74.7 (#85), MiMo-V2.6-Flash: 77.0 (#33)

Instruction Following benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Instruction Following14141463

Long Context MiMo-V2.6-Flash leads

GPT-6 Luna: 43.3 (#95), MiMo-V2.6-Flash: 44.8 (#52)

Long Context benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Longer Query14171465

Writing & Preference MiMo-V2.6-Flash leads

GPT-6 Luna: 58.4 (#115), MiMo-V2.6-Flash: 63.9 (#61)

Writing & Preference benchmarks
BenchmarkGPT-6 LunaMiMo-V2.6-Flash
LMArena Text13921459
LMArena Creative Writing13571408
LMArena Multi-Turn14001460

Frequently asked questions

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

GPT-6 Luna and MiMo-V2.6-Flash score almost the same on the Noometry Index (45.1 vs 44.4), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-6 Luna 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-6 Luna lists at $0.10 and $0.50.

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

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 44.3 in the Noometry coding category.

Which has the bigger context window?

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

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

12 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and MiMo-V2.6-Flash has 13.

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