GPT-5.6 Luna
OpenAI · 6 thinking configurations
Intelligence37.3
Input / 1M$0.20
Output / 1M$1.20
Context1M
Tariff: OpenAI · Source: artificial-analysis · USD per million tokens
Thinking configuration
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Compare this model’s measured thinking configurations.
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Efficient frontier: best measured score at each cost6 measured configurations · 0 without both values
Selected: thinking max · Click a point to switch configuration
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Intelligence IndexArtificial Analysis composite index, not a percentage. Different versions of the index are not directly comparable.
37.3 pointsDeepSWE · pass@1Software-engineering tasks on mini-swe-agent v1.1. Pass@1 across evaluated runs, with measured cost per task. The 95% intervals may overlap.
67.2 % ±4.0GPQA DiamondGraduate-level scientific questions. Measures specialist reasoning rather than web-search quality.
91.1 %Humanity’s Last ExamDifficult questions across many disciplines, compared under the same evaluation setup.
39.5 %SciCodeCode generation for scientific research problems.
53.6 %Terminal-Bench 2.1Agent tasks in a terminal environment. Results also depend on the evaluation harness.
80.9 %MMMU-ProMultimodal understanding of academic problems that include images.
78.6 %Omniscience accuracyFactual accuracy in Artificial Analysis's Omniscience evaluation.
42.7 %Specifications from the catalog
Inputfile, image, text
Outputtext
Tool callingYes
Structured outputYes
Speed115.6 tok/s
First token106.56 s
Maximum output128K
Catalog listing date2026-07-09
DeepSWE v1.1 · 113 tasks · mini-swe-agent · cost $3.03 / task · 102 mean steps · 73.4K mean output tokens. Published by the source 9/22/2026.