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
Tops the independent agentic-coding boards in the scored set under max effort (leading SWE-bench Verified on named harnesses) — the highest raw coding ceiling when a hard multi-step job justifies the price.
- Long-horizon coding agents with named harnesses
- Hard multi-step engineering jobs at max effort
Strong, reliable tool and function calling with terminal / DevOps-style orchestration — comfortable driving mixed professional workflows across its ecosystem's tooling.
- Terminal / DevOps multi-step work
- Mixed professional workflows with heavy tool use
Shows an Omniscience "hallucination" pattern — states trust-critical facts confidently even when wrong, so unverified answers on judgment-heavy questions carry real risk.
- Trust-critical judgment without a verification step
- Factual claims outside provided context
Workaround · Require citations or a verification pass for trust-critical claims; keep humans or a second Build in the loop before acting on unverified facts.
Output pricing ($30 per MTok) is the steepest in the scored set, so max-effort runs and verbose agent loops get expensive quickly on volume.
- High-volume or token-farm workloads
- Verbose max-effort agent loops without budgets
Workaround · Reserve max-effort Sol for hard jobs; route bulk and everyday work to cheaper Builds (Grok, DeepSeek, or a lower-effort tier).
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).