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GPT 5.6 Luna

openai/gpt-5.6-luna
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GPT 5.6 Luna

openai/gpt-5.6-luna
Back

GPT-5.6 Luna is the fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume chat, classification, lightweight agentic workflows, and latency-sensitive reasoning tasks.

Added Jul 9, 2026

Context Window

1.1M

Max Output

128.0K

Avg output tokens (7d)

308 tokens

28%

Input Price (Auto)

$0.20/1M

Output Price (Auto)

$1.20/1M

Cache Read (Auto)

$0.020/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

37.3

Better than 88% of models compared

Coding Index

71.4

Better than 84% of models compared

Agentic Index

42.1

Better than 85% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

50.2%

Better than 67% of models compared

Harvey LAB-AA

Legal agentic work criterion pass rate

87.9%

Better than 49% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1344 Elo

Better than 74% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1463 Elo

Better than 82% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

24.0%

Better than 82% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

83.7%

Better than 97% of models compared

MLCR-AA

Medical long-context reasoning

19.4%

Better than 65% of models compared

Reasoning

HLE

Humanity's Last Exam

39.5%

Better than 87% of models compared

CritPt

Research-level physics reasoning

20.6%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

11.6%

Better than 64% of models compared

SciCode

Python programming for scientific computing

53.6%

Better than 69% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

42.7%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

92.6%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

91.1%

Better than 91% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

83.7%

Better than 97% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

48.2%

Last updated Oct 2, 2026

Artificial Analysis

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