specs at a glance
| Leaderboard rank | #1 of 13 |
|---|---|
| SWE-bench Verified | 96.2% |
| SWE-bench Pro | — |
| Terminal-Bench | 88.8% |
| Input price / 1M | $5 |
| Output price / 1M | $30 |
| Context window | — |
| Open weights | No |
| Access | API · Codex (public since Jul 9 2026) |
| Maker | OpenAI |
how good is GPT-5.6 Sol at coding?
GPT-5.6 Sol holds the #1 spot on our leaderboard with 96.2% on SWE-bench Verified — the highest confirmed score of any model we track. Terminal-Bench (agentic terminal work): 88.8%.
Score provenance: Independent (vals.ai, Jul 14 2026, mini-swe-agent bash-only harness): SWE-bench Verified 96.20% ±0.86 — the top score on the board. Verified Jul 17, 2026; it had been unranked since Jun 26 because OpenAI published no SWE-bench number of its own, and it still has not. Read the #1 with care: the 1.2-point lead over Claude Fable 5 (95.00% ±0.98) is inside the combined margin of error (~0.9 sigma, not significant), so the two are a statistical tie and we rank Sol first only because it scored higher. Where it does separate is task length — 98% on 1-4 hour tasks vs 93% for Fable 5. OpenAI's own Terminal-Bench 2.1 claim is 88.8% (Sol) / 91.9% (Sol Ultra). No SWE-bench Pro score published. Pricing $5/$30 per 1M.
what does GPT-5.6 Sol cost?
$5 per 1M input tokens and $30 per 1M output — #10 cheapest of the 13 models we track. Coding workloads are output-heavy, so weight the output rate when budgeting. Run your own volume through the AI API cost calculator for a monthly estimate.
where can you use it?
Available via API · Codex (public since Jul 9 2026). As a proprietary model, you're on the maker's infrastructure and release schedule.
head-to-head
Full storyOpenAI puts GPT-5.6 Sol on Cerebras wafer-scale silicon
Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-07-17.