GPT-6 Luna: benchmark results

Intended for focused tasks repeated at volume. Supports structured outputs and tool calls, with reasoning that can be switched off for simpler requests. Provider: OpenAI. Released 2026-09-22. Access: API.

Aggregate Rating 1809 ± 5, rank #62 of 1640 rated models, from 895 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
EpiSEM-Bench - Critical Unsafe Commit Rate21Score (%)100
EpiSEM-Bench - Full Unsafe Commit Rate3Score (%)100
EpiSEM-Bench - Recovery Unsafe Commit Rate3Score (%)100
EpiSEM-Bench - Safety Boundary Margin84.8Score (%)100
LoomBench (agents solo-accept; Chat Probabilities) - Attainment65.91Fraction of 44 instructed agents meeting their objective, in100
LoomBench (agents solo-accept; Chat Probabilities) - Grow95.45Mean source-normalized Grow objective score (0-100), 11 agen100
LoomBench (agents solo-accept; Chat Probabilities) - Hold77.73Mean source-normalized Hold objective score (0-100), 11 agen100
LoomBench (agents solo-accept; Typed Decisions) - Give79.55Mean source-normalized Give objective score (0-100), 11 agen100
LoomBench (agents solo-refuse; Chat Probabilities) - Attainment68.18Fraction of 44 instructed agents meeting their objective, in100
LoomBench (agents solo-refuse; Chat Probabilities) - Grow90.91Mean source-normalized Grow objective score (0-100), 11 agen100
LoomBench (agents solo-refuse; Chat Probabilities) - Hold78.64Mean source-normalized Hold objective score (0-100), 11 agen100
LoomBench (agents solo-refuse; Typed Decisions) - Grow93.18Mean source-normalized Grow objective score (0-100), 11 agen100

Interactive version: theaggregate.ai/model?slug=gpt-6-luna · How It Works · Data refreshed daily, snapshot 2026-11-07.