🎉 Congrats to OpenAI on GPT-5.6's strong performance on Agents' Last Exam!
We created Agents' Last Exam (ALE) to provide realistic, reproducible evaluations and continuous public measurements of frontier AI agents on economically valuable, real-world work across broad domains. ALE currently includes 1,500+ expert-sourced, long-horizon tasks spanning 55 non-physical occupations, contributed by 300+ experts from more than 100 institutions. All tasks are grounded in real professional work and evaluated with fully verifiable, outcome-based grading.
It's exciting to see ALE becoming an important guidepost for frontier agent development—helping the community track progress, better understand emerging capabilities, and build AI systems that are increasingly reliable, capable, and useful in the real world.
A huge thank you to the hundreds of experts and collaborators who have contributed to ALE. This is truly a community effort. We're continuing to expand the benchmark with new tasks and domains, and we'd love for more experts to contribute. Together, we can build an even stronger foundation for measuring progress toward capable, trustworthy Agentic AI.
Submit your contribution:
agents-last-exam.org/
On Agents' Last Exam, GPT‑5.6 Sol sets a new high of 53.6, eclipsing Claude Fable 5 (adaptive) by 13.1 points.
At medium reasoning, it beats Fable 5 by 11.4 points at roughly one-quarter the estimated cost. GPT‑5.6 Terra and Luna also outperforms Fable 5 at around one-sixteenth the cost.