OpenAI·released 2026-07-09✓ 2 sources
GPT-5.6 Sol benchmark scores: 26 benchmarks tracked, leading 1. 19% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 1 of 26 benchmarks·best result 100 on OTIS Mock AIME 2024-2025 (reproduced)·5 of 26 independently reproduced·$4/$20 per M tokens
Head-to-headGPT-5.6 Sol vs GPT-6 AstraConsensus: LiteLLM · See every model’s pricing →
Leads on: OTIS Mock AIME 2024-2025
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 100accuracy (%) | reproduced· optimizedT1 | 2026-07-09Epoch AI |
| ARC-AGI | 97.5accuracy (%) | unverified· optimizedT1 | 2026-07-09https://arcprize.org/leaderboard |
| DTBench | 93.33accuracy (%) | unverifiedT1 | 2026-07-09https://conceptualreasoning.ai/dtbench |
| Surface Evolver Bench | 93.12accuracy (%) | unverifiedT1 | 2026-07-09https://yhenon.github.io/surface-evolver-llm-eval/ |
| ARC-AGI-2 | 92.5accuracy (%) | unverifiedT2 | 2026-07-09 |
| GPQA diamond | 91.33accuracy (%) | reproduced· optimizedT1 | 2026-07-09Epoch AI |
| WeirdML | 89.43accuracy (%) | unverifiedT1 | 2026-07-09https://htihle.github.io/weirdml.html |
| FrontierMath-Tiers-1-3-v2-Private | 89.12accuracy (%) | reproducedT1 | 2026-07-09Epoch AI |
| ProofBench | 83accuracy (%) | unverifiedT1 | 2026-07-09https://www.vals.ai/benchmarks/proof_bench |
| FrontierMath-Tier-4-v2-Private | 82.93accuracy (%) | reproducedT1 | 2026-07-09Epoch AI |
| GSO-Bench | 76.47accuracy (%) | unverifiedT1 | 2026-07-09https://gso-bench.github.io/index.html |
| DeepSWE | 72.67accuracy (%) | unverifiedT1 | 2026-07-09https://deepswe.datacurve.ai/ |
| SimpleQA Verified | 69.7accuracy (%) | unverifiedT2 | 2026-07-09 |
| LMCA | 69.66accuracy (%) | unverifiedT1 | 2026-07-09https://conceptualreasoning.ai/lmca |
| Chess Puzzles | 66.33accuracy (%) | unverifiedT2 | 2026-07-09 |
| SimpleBench | 66.04accuracy (%) | unverifiedT1 | 2026-07-09https://lmcouncil.ai/benchmarks |
| Balrog | 60accuracy (%) | unverifiedT1 | 2026-07-09https://balrogai.com/ |
| Mystery Game Puzzles | 53.73accuracy (%) | unverifiedT2 | 2026-07-09 |
| APEX-Agents | 51.4accuracy (%) | unverifiedT2 | 2026-07-09 |
| FrontierCode | 47.49accuracy (%) | unverifiedT1 | 2026-07-09https://cognition.com/frontiercode |
| EBR-bench | 44.76accuracy (%) | unverifiedT2 | 2026-07-09 |
| Furniture Assembly | 38.1accuracy (%) | unverifiedT2 | 2026-07-09 |
| PostTrainBench | 36.23accuracy (%) | unverifiedT2 | 2026-07-09 |
| FrontierSWE | 32.2accuracy (%) | unverifiedT1 | 2026-07-09https://www.frontierswe.com/ |
| OSWorld 2.0 | 27.34accuracy (%) | unverifiedT1 | 2026-07-09https://osworld-v2.xlang.ai/ |
| MirrorCode | 20accuracy (%) | reproducedT1 | 2026-07-09Epoch AI |
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 26 tracked benchmarks and currently leads 1 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 13.48 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 Sol 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 Sol has recorded scores on 26 benchmarks, each shown with its evidence status.
GPT-5.6 Sol has recorded scores on 26 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, DTBench, WeirdML, LMCA, SimpleQA Verified, and 20 more. The full table above shows each score with its evidence status.
5 of 26 recorded scores (19%) are independently reproduced rather than self-reported by the lab.
GPT-5.6 Sol has 26 tracked claims: 5 independently reproduced, 21 unverified.
Listed API pricing: $4 per million input tokens, $20 per million output tokens. See the pricing block for the full breakdown.