GPT-6 Astra in OffloopTake on the difficult work.
Use GPT-6 Astra in Offloop for demanding code, research and analysis that benefits from sustained reasoning.
A brief to try · Example
Investigate a stubborn bug
Trace this failure through the repository. Reproduce it, compare likely causes, and propose the smallest fix with verification steps.
Choose in your agent settings: GPT-6 Astra
Where GPT-6 Astra fits
Our pick for unfamiliar codebases and investigations where resolving the hard part matters more than a quick first draft.
01
Investigate a stubborn bug
A strong fit when the cause spans files and requires checking competing explanations.
02
Plan a substantial migration
Repository evaluations support trying Astra on changes that require broad context.
03
Build an evidence-led brief
Useful when conclusions depend on reconciling several documents.
Our editorial assessment · Use a smaller model for routine extraction or short rewrites. Benchmarks do not establish that Astra is best for every task.
Read the capability source ↗Watch a real evaluation
Early-access tests involving a product-intelligence feature, 3D games and a hardware project. These examples are a qualitative check, not a controlled benchmark.
How I AI / Claire Vo · Independent creator · External setup, not Offloop
Published evaluations
Selected results for GPT-6 Astra. Source checked November 5, 2026; these are not Offloop measurements.
DeepSWE v1.1
74.1%
OpenAI launch table; long-horizon software engineering.
Terminal-Bench 4.0
57.9%
OpenAI launch table; terminal-based tasks.
Internal database migrations
63.9%
OpenAI internal evaluation; not a public leaderboard.
Different task sets, model snapshots and harnesses are not directly comparable. Scores are evidence for a trial, not a guarantee of your result.
Before you start
Give your agent a real task.
Choose GPT-6 Astra, connect the tools you need, and define what a useful result looks like.