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GPT‑6 Astra is rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API, Microsoft Azure, and AWS Bedrock.

Terminal-Bench Science 0.1ARC-AGI-3FrontierMath Tier 4 (v2)Terminal-Bench 4.0AutomationBench

Terminal-Bench Science 0.1

API CostOutput tokensAPI Cost

GPT-6 Astra

GPT-5.6 Sol

Claude Fable 5.1

Claude Fable 5

Claude Opus 5

$0$20$40$60$8020%30%40%50%60%70%Resolution rateAPI CostGPT-6 AstraGPT-5.6 SolClaude Fable 5.1Claude Fable 5Claude Opus 5

Terminal-Bench Science 0.1 tests whether agents can complete scientific research workflows using code and terminal tools, including analyzing data, running simulations, and fitting models. GPT‑6 Astra reaches a new high among the models compared at 64.6%, versus 52.6% for Claude Fable 5.1, at approximately 31% lower estimated API cost. At a lower-cost setting, Astra scores 61.1%, versus GPT‑5.6 Sol’s best result of 22.4%, at approximately 27% lower estimated API cost.

“On ARC-AGI-3, Astra surpassed our human action-efficiency baseline on 96% of levels, effectively reaching human parity on the benchmark. Not only is this the best model we’ve ever tested, but it also represents a meaningful step change in frontier-model performance - not only in its ability to navigate and solve novel environments, but also in how efficiently it learns to do so.”

Greg Kamradt, ARC Prize Foundation

Astra is our most aligned model, with substantial improvements in understanding user intent and model behavior—you can delegate tasks with greater confidence in Astra’s judgment. As one way that we test this, we built a new evaluation informed by the Hugging Face incident that evaluates whether a model facing a difficult or impossible task will go beyond its intended scope. Compared to GPT‑5.6 Sol, which without production safeguards went beyond the authorized target 48% of the time, GPT‑6 Astra did this in 0% of cases.