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OpenAI

GPT-6 Luna

Closed weights
Intelligence
18.5
Rank 266 of 744 measured models
Output speed
111 t/s
Rank 155 of 403 measured models
Price/1M
$0.20
Rank 161 of 659 measured models
Context window
1M
Rank 84 of 1199 measured models
Cost per task
$0.0113
Rank 15 of 193 measured models

GPT-6 Luna (Non-reasoning) scores 18.5 on the Artificial Analysis Intelligence Index, ranking 266th of 744 measured models. The closest models on this index are Claude 4.1 Opus (18.6), KAT-Coder-Pro V1 (18.6), and MiniMax-M2 (18.6). At $0.20 per million tokens (3:1 input/output blended price), it is cheaper than Claude 4.1 Opus ($30) and MiniMax-M2 ($0.525). With an output speed of 111 t/s, it is faster than MiniMax-M2 (64.7 t/s).

Artificial Analysis Indices
Non-reasoning
Intelligence18.5
Rank 266 of 744 measured models
Reasoning levels
Each point is a reasoning level of this model: more reasoning often raises the score but costs more. Select a point to open that level.
Intelligence Indexmost efficient ↗Cost per task
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting20.2
Rank 156 of 218 measured models
Strategy & Ops19.8
Rank 145 of 218 measured models
Legal19.3
Rank 163 of 218 measured models
Engineering20.7
Rank 158 of 217 measured models
Economics24.2
Rank 168 of 225 measured models
Decision Index
GPT-6 Luna (Non-reasoning) · Artificial Analysis
Decision Index49.6Rank 22 of 26 measured models
AA-Omniscience-Decision · accuracy45.4
AA-Omniscience-Decision · non-hallucination0.4
HLE-MultiChoice12.3
When2Call76.1
WildGuardTest87.1
Cost per 1M tasks$88.44
Average time per task1.14 s
Standard Benchmarks
HLE8.6%
Rank 362 of 664 measured models
SciCode43.1%
Rank 154 of 231 measured models
AA-LCR39.7%
Rank 372 of 575 measured models
Terminal-Bench v41.5%
Rank 118 of 218 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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