Tabbit
For complex coding, browser use, and multistep professional work. Explore reusable methods, test conditions, and capability limits through official sources and firsthand examples.
Use in Tabbit GPT-6 Astra
GPT-6 Astra · Model overview
A compact view of reviewed task guides, public evaluations, and evidence boundaries. Client access still depends on your current account.
Model access and permissions must be checked in the current Tabbit account.
Extract structured data, build a visual prototype, or start a coding task.
OpenAI’s GPT-6 Astra guide frames hard end-to-end work with a goal, tool boundaries, deliverables, targeted verification, and an explicit authorization scope.
The GPT-6 Astra model page defines reasoning effort, context, cache pricing, tools, and endpoint boundaries for a reproducible API configuration sheet.
Eric Provencher’s public case turns Skills and AGENTS cleanup into a workflow of scope, completion criteria, and verification commands for Astra repository governance.
A public Codex prompt asks Astra to audit repository instructions, keep the change scope narrow, and distinguish executed commands from inspected ones; the post does not publish the final result.
Public results use different versions, tiers, and harnesses; unknown values stay unknown.
OpenAI’s tables show GPT-6 Astra ahead of GPT-5.6 Sol on several computer-use, professional, coding, and science tasks, but the tool, latency, and cost footnotes are part of the evidence.
CodeRabbit reports GPT-6 Astra on actionable bug coverage for overall and cross-file review samples, plus cost assumptions and a Godot project iteration; the full PR harness is unpublished.
A Codex user reports GPT-6 Astra running about 70 hours on a 100K+ LOC geometry-engine task without finishing and records High effort and quota use; it is personal field evidence.
OpenAI
Explore GPT-6 Astra prompts, agent workflows, configuration guidance, and evaluation evidence with original sources, test conditions, and limitations.