OpenAI·released 2026-07-09✓ 2 sources
GPT-5.6 Luna benchmark scores: 20 benchmarks tracked. 15% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 20 benchmarks·best result 98.33 on OTIS Mock AIME 2024-2025 (reproduced)·3 of 20 independently reproduced·$0.2/$1.2 per M tokens
Consensus: LiteLLM · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.33accuracy (%) | reproduced· optimizedT1 | 2026-07-09Epoch AI |
| GPQA diamond | 88.8accuracy (%) | reproduced· optimizedT1 | 2026-07-09Epoch AI |
| ARC-AGI | 88accuracy (%) | unverified· optimizedT1 | 2026-07-09https://arcprize.org/leaderboard |
| FrontierMath-Tiers-1-3-v2-Private | 82.11accuracy (%) | unverifiedT2 | 2026-07-09 |
| DTBench | 81.78accuracy (%) | unverifiedT1 | 2026-07-09https://conceptualreasoning.ai/dtbench |
| DeepSWE | 67.19accuracy (%) | unverifiedT1 | 2026-07-09https://deepswe.datacurve.ai/ |
| Surface Evolver Bench | 61.88accuracy (%) | unverifiedT1 | 2026-07-09https://yhenon.github.io/surface-evolver-llm-eval/ |
| FrontierMath-Tier-4-v2-Private | 60.98accuracy (%) | reproducedT1 | 2026-07-09Epoch AI |
| WeirdML | 60.86accuracy (%) | unverifiedT1 | 2026-07-09https://htihle.github.io/weirdml.html |
| ProofBench | 60accuracy (%) | unverifiedT1 | 2026-07-09https://www.vals.ai/benchmarks/proof_bench |
| ARC-AGI-2 | 59.54accuracy (%) | unverifiedT2 | 2026-07-09 |
| LMCA | 57.11accuracy (%) | unverifiedT1 | 2026-07-09https://conceptualreasoning.ai/lmca |
| Balrog | 45.6accuracy (%) | unverifiedT1 | 2026-07-09https://balrogai.com/ |
| APEX-Agents | 43accuracy (%) | unverifiedT2 | 2026-07-09 |
| SimpleQA Verified | 41accuracy (%) | unverifiedT2 | 2026-07-09 |
| Chess Puzzles | 40.03accuracy (%) | unverifiedT2 | 2026-07-09 |
| FrontierCode | 39.81accuracy (%) | unverifiedT1 | 2026-07-09https://cognition.com/frontiercode |
| SimpleBench | 36.16accuracy (%) | unverifiedT1 | 2026-07-09SimpleBench Leaderboard |
| Furniture Assembly | 17.86accuracy (%) | unverifiedT2 | 2026-07-09 |
| Mystery Game Puzzles | 12.98accuracy (%) | unverifiedT2 | 2026-07-09 |
Claims drawn from cited facts, not live model generation.
This model was developed by OpenAI and released in 2026.
2 cited facts
This model has scores on 20 tracked benchmarks and currently leads 0 of them. The record’s evidence status is independently reproduced.
3 cited facts
Its mean gap to the best recorded score across its tracked benchmarks is 28.57 points.
1 cited fact
6 facts cross-checked across data sources: 1 corroborated, 5 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: curated_models, epoch_benchmarks, litellm_prices
GPT-5.6 Luna is an AI model developed by OpenAI, released 2026-07-09. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
GPT-5.6 Luna has recorded scores on 20 benchmarks, each shown with its evidence status.
GPT-5.6 Luna has recorded scores on 20 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, DTBench, WeirdML, LMCA, SimpleQA Verified, and 14 more. The full table above shows each score with its evidence status.
3 of 20 recorded scores (15%) are independently reproduced rather than self-reported by the lab.
GPT-5.6 Luna has 20 tracked claims: 3 independently reproduced, 17 unverified.
Listed API pricing: $0.2 per million input tokens, $1.2 per million output tokens. See the pricing block for the full breakdown.