GPT-5.6 Sol · API · Max effort
The ecosystem operator — max-effort Sol for hard agents, not cheap chat.
OpenAI flagship Build for autonomous coding and professional workflows when ecosystem tools and max reasoning justify $5/$30.
Overall mean of attribute public scores after peer min-max (40–95 band within scored launch peer set).
- Endpoint
- gpt-5.6-sol
- Product
- OpenAI API
- Price
- $5 / $30 per MTok
- Context
- 1000k tokens
OpenAI GPT-5.6 Sol API at max reasoning effort, 1M context, $5/$30 per MTok. Frontier generalist / coding-agent rival to Claude Opus for hard long-horizon work.
Six stats · peer public
Peer public (main number / bar) ranks this Build inside the current scored peer set (≈40–95). Raw is the absolute evidence-fusion aggregate before min-max. A low peer score can still be a strong absolute model — see methodology.
When to choose
- Long-horizon coding agents (named harnesses)
- Terminal / DevOps-style multi-step work
- Mixed professional workflows with strong tool use
- Latency-first everyday chat (use lower effort or Luna/Terra)
- Strict budget token farms
- Trust-critical judgment without verification (high Omniscience hall pattern)
You want OpenAI tooling + max-effort frontier performance on hard multi-step jobs.
Task proficiencies
Signature strengths and honest flaws
No structured traits or flaws catalogued for this Build yet. Traits are behavioural patterns (beyond raw scores) — added as evidence and field observation accumulate. See Best at / Avoid for above in the meantime.
Traceability
Every factual claim cites an evidence row. Tap a chip to see the benchmark, exact config, source, and caveats behind the number.
Engine pass meth_v0_1_1 (peer min-max vs scored launch peer set). Codex overall 79.7 (B). Attribute public scores map raw aggregates into a 40–95 band within the peer set (methodology min-max). INT uses hierarchical fusion (GPQA primary / HLE secondary / capped bleed).