Quick answer: GPT-5.6 Sol is OpenAI's flagship frontier model, released July 9, 2026. It achieves state-of-the-art results across coding, cybersecurity, and reasoning benchmarks — including 94.6% on GPQA Diamond, 88.8% on TerminalBench 2.1, 84.5% on CyberGym, and 64.6% on SWE-Bench Pro — while delivering stronger performance per dollar than prior models. Priced at $5 input / $30 output per 1M tokens via the OpenAI API.
Where GPT-5.6 Sol leads
Where it lags
max, ultra) adds latency and token costultra mode (multi-agent) requires Pro or Enterprise plan accessBest for: Agentic coding, terminal workflows, cybersecurity analysis, and long-horizon professional tasks where intelligence-per-dollar matters.
GPT-5.6 Sol is the flagship of OpenAI's GPT-5.6 model family, which also includes Terra (balanced, everyday work) and Luna (fastest and most cost-efficient). The family introduces a new naming convention where the number identifies the generation and Sol/Terra/Luna are durable capability tiers that can advance independently. GPT-5.6 Sol represents OpenAI's strongest general-purpose model at launch, trained to deliver more useful work per token — a deliberate shift toward efficiency rather than raw scale.
The model introduces max and ultra reasoning effort levels. max gives Sol additional time to reason, explore alternatives, and revise its approach before responding. ultra goes further by coordinating four parallel subagents by default, trading higher token use for stronger results and faster completion on demanding multi-step tasks. This makes GPT-5.6 the first OpenAI model to natively expose a multi-agent orchestration mode at the API level.
GPT-5.6 Sol is also OpenAI's strongest cybersecurity model to date, achieving 84.5% on CyberGym under standard conditions. A Trusted Access for Cyber programme (OpenAI Daybreak) provides verified defenders with more permissive access to advanced cyber capabilities. GPT-5.6 launches with OpenAI's most extensive safety evaluation to date, including over 700,000 A100e GPU hours of automated red-teaming.
| Field | Value |
|---|---|
| Organisation | OpenAI |
| Parameters | Undisclosed |
| Context window | Undisclosed (supports up to 1M token MRCR evaluations) |
| Max output | Undisclosed |
| Architecture | Undisclosed (GPT-5.6 family) |
| License | Proprietary (API only) |
| Release date | July 9, 2026 |
| Knowledge cutoff | September 2025 (estimated) |
| Modality | Text + Image (multimodal) |
| Input (per 1M tokens) | Output (per 1M tokens) | |
|---|---|---|
| OpenAI API (Sol) | $5.00 | $30.00 |
| OpenAI API (Terra) | $2.50 | $15.00 |
| OpenAI API (Luna) | $1.00 | $6.00 |
Cache writes are billed at 1.25× the uncached input rate; cache reads receive a 90% discount. Pricing per OpenAI pricing page as of July 2026.
| Benchmark | Score | Notes |
|---|---|---|
| GPQA Diamond | 94.6% | Academic scientific reasoning |
| TerminalBench 2.1 | 88.8% | Command-line agentic workflows |
| CyberGym | 84.5% | Real-world vulnerability reproduction |
| MRCR v2 (8-needle, 256K–512K) | 91.5% | Long-context retrieval |
| SWE-Bench Pro | 64.6% | Long-horizon software engineering |
| SWE-Bench Verified (DeepSWE v1.1) | 72.7% | Software engineering (verified subset) |
| BrowseComp | 90.4% | Agentic web browsing tasks |
Scores are for GPT-5.6 Sol at max reasoning effort unless otherwise noted. Source: OpenAI GPT-5.6 announcement, July 9, 2026.
| Model | Intelligence Index | Coding Agent Index | Input / Output (per 1M) |
|---|---|---|---|
| GPT-5.6 Sol | 58.9 (AA v4.1) | 80 (AA v1.1) | $5 / $30 |
| GPT-5.6 Terra | 55 (AA v4.1) | 77.4 (AA v1.1) | $2.50 / $15 |
| GPT-5.6 Luna | 51.2 (AA v4.1) | 74.6 (AA v1.1) | $1 / $6 |
Source: Artificial Analysis, July 2026.
This model isn’t on any benchmark leaderboard yet.