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GPT-5.6 Luna benchmark results

8 results on 4 benchmarks from 2 sources.

Closed Released: Jul 9, 2026 Updated Oct 22, 2026 API prices & specs →

Also listed as: gpt-5.6-luna-xhigh · gpt-5.6-luna_none · GPT-5.6 Luna (none) · gpt-5.6-luna_low · GPT-5.6 Luna (low) · gpt-5.6-luna_max · GPT-5.6 Luna (max)

All benchmark results

Benchmarks Score Rank Setting Source type Date
LMArena Text 1452 74 Overall, style control on; 40917 votes; 95% CI 1448–1457“gpt-5.6-luna-xhigh” Official leaderboard Oct 8, 2026
LMArena Vision 1260 44 Overall, style control on; 10446 votes; 95% CI 1252–1267“gpt-5.6-luna-xhigh” Official leaderboard Oct 2, 2026
GPQA Diamond 91.6% 28 Epoch AI run, accuracy; effort: max Independent run Jul 9, 2026
GPQA Diamond 82.3% 104 Epoch AI run, accuracy; effort: low Independent run Aug 7, 2026
GPQA Diamond 63.6% 180 Epoch AI run, accuracy; effort: none Independent run Aug 7, 2026
AIME (OTIS Mock AIME 2024–2025) 98.3% 25 Epoch AI run, OTIS Mock AIME 2024–2025; effort: max Independent run Jul 9, 2026
AIME (OTIS Mock AIME 2024–2025) 66.7% 138 Epoch AI run, OTIS Mock AIME 2024–2025; effort: low Independent run Aug 7, 2026
AIME (OTIS Mock AIME 2024–2025) 40.0% 181 Epoch AI run, OTIS Mock AIME 2024–2025; effort: none Independent run Aug 7, 2026
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FAQ

Where do these GPT-5.6 Luna scores come from?

From Epoch AI Benchmarking Hub and LMArena leaderboard dataset. Each row links to the original leaderboard, dataset or report, and vendor-reported numbers are labelled.

Data updated: Benchmarks(UTC+8)