Tabbit
Use in Tabbit GPT-5.6 Sol
GPT-5.6 Sol · 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.
Separate judgment from deterministic processing, then combine programmatic tool calls, parallel subagents, and prompt-cache boundaries into a long-running workflow whose cost, latency, citations, and failures can be reviewed.
Run the same task at faster and deeper reasoning settings: prefer speed for short questions, then increase reasoning for planning, research, writing, coding, and decisions; OpenAI’s 68% figure is an internal relative change, not public accuracy.
The source shows config.toml and one-session CLI examples for the model ID, a 1,000,000-token context budget, and a 900,000-token compaction threshold; confirm client support and keep a rollback configuration before editing.
Split long-running coding into prediction, planning, implementation, adversarial review, and independent verification, checking the plan, tests, and stop conditions item by item; this is a commenter’s personal workflow, not Codex’s default configuration.
Public results use different versions, tiers, and harnesses; unknown values stay unknown.
OpenAI reports Sol at 53.6 on Agents’ Last Exam, near Fable 5 on the Intelligence Index, and 80 on the Coding Agent Index, plus 92.2% on BrowseComp and 62.6% on OSWorld 2.0; these are dated vendor results.
Artificial Analysis records Sol max at 59 on its Intelligence Index, about $1.04 per task, and 80 on its Coding Agent Index, with roughly 15,000 output tokens per task; models are paired with complete harnesses such as Codex.
CodeRabbit reports a 63.7% long-run coding pass rate for Sol with 20,968 average output tokens per completed task; review passed 69/99 actionable cases at 31.6% precision while producing 231 comments, combining recall gains with noise.
OpenAI
Explore sourced GPT-5.6 Sol builder guidance, agent orchestration methods, coding evaluations, and community reports for long-running work.