Noometry

Model comparison

GPT-6 Luna vs Inkling

GPT-6 Luna is the stronger model overall, scoring 45.1 to 44.1 on the Noometry Index.

Last verified . 15 shared benchmarks.

GPT-6 Luna OpenAI

45.1

Rank #65 Confirmed

Inkling Thinking Machines Lab

44.1

Rank #75 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-6 Luna scores higher in 2 categories and Inkling in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GPT-6 Luna leads 54.7 to 34.1.
  • The biggest single-benchmark swing is FrontierCode: 42.4% for GPT-6 Luna and 14% for Inkling.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.87 / $4.68 for Inkling.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 66K.
  • Inkling has downloadable open weights; the other is API-only.

Side by side

GPT-6 LunaInkling
ProviderOpenAIThinking Machines Lab
Noometry Index45.144.1
Released2026-09-222026-07-15
WeightsProprietaryOpen
Context window1.05M66K
Max output128K66K
Input $ / M tokens$0.10$1.87
Output $ / M tokens$0.50$4.68
Results tracked1841

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Category by category

Coding GPT-6 Luna leads

GPT-6 Luna: 54.7 (#24), Inkling: 34.1 (#229)

BenchmarkGPT-6 LunaInkling
FrontierCode42.4%14%
LMArena WebDev15831412
LMArena Coding14481463
DeepSWE66.6%—
FrontierSWE—4.1%
SciCode—47%
WeirdML—32.3%
ALE-Bench—946

Agentic & Tool Use Not comparable

GPT-6 Luna: —, Inkling: 29.5 (#76)

BenchmarkGPT-6 LunaInkling
APEX-Agents—33.8%
τ²-bench Banking—25%

Reasoning Inkling leads

GPT-6 Luna: 31.7 (#68), Inkling: 40.6 (#48)

BenchmarkGPT-6 LunaInkling
LMArena Hard Prompts14151452
ARC-AGI-2—36.5%
SimpleBench—50%
NYT Connections (extended)68.7%—
ARC-AGI-1—79.5%
CritPt—5.4%
Chess Puzzles—21%
DTBench—87.5%
LMCA—37.6%
Epoch Capabilities Index—148.6

Math GPT-6 Luna leads

GPT-6 Luna: 35.6 (#140), Inkling: 31.2 (#198)

BenchmarkGPT-6 LunaInkling
LMArena Math13961482
FrontierMath (Tiers 1-3)—33.3%
FrontierMath Tier 4—4.9%
OTIS Mock AIME 2024-2025—88.9%
ProofBench—0%

Knowledge Inkling leads

GPT-6 Luna: 40.1 (#110), Inkling: 55.2 (#44)

BenchmarkGPT-6 LunaInkling
LMArena Expert14581468
GPQA Diamond—88.3%
SimpleQA Verified—40.3%

Multimodal Not comparable

GPT-6 Luna: 42.0 (#27), Inkling: —

BenchmarkGPT-6 LunaInkling
Furniture Assembly44.2%—

Multilingual Inkling leads

GPT-6 Luna: 51.0 (#111), Inkling: 54.2 (#49)

BenchmarkGPT-6 LunaInkling
LMArena Non-English13901434
LMArena Chinese14251495
LMArena Russian13921430
LMArena Spanish14161442
LMArena French—1453
LMArena German—1456
LMArena Japanese—1428
LMArena Korean—1401

Instruction Following Too close to call

GPT-6 Luna: 74.7 (#85), Inkling: 75.3 (#65)

BenchmarkGPT-6 LunaInkling
LMArena Instruction Following14141427

Long Context Too close to call

GPT-6 Luna: 43.3 (#95), Inkling: 43.9 (#79)

BenchmarkGPT-6 LunaInkling
LMArena Longer Query14171436

Writing & Preference Inkling leads

GPT-6 Luna: 58.4 (#115), Inkling: 65.5 (#48)

BenchmarkGPT-6 LunaInkling
LMArena Text13921443
LMArena Creative Writing13571390
LMArena Multi-Turn14001436
EQ-Bench Creative Writing—1611
EQ-Bench 4—1226

Frequently asked questions

Is GPT-6 Luna better than Inkling?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 44.1 on the Noometry Index.

Which is cheaper, GPT-6 Luna or Inkling?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Inkling lists at $1.87 and $4.68.

Is GPT-6 Luna or Inkling better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 66K.

How many benchmarks do GPT-6 Luna and Inkling share?

15 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Inkling has 41.

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