GPT-6 model releases

GPT-6.1 Sol is OpenAI's agentic-work model announced at DevDay 2026 and released 2026-09-29, an upgrade to GPT-6 Sol. API id gpt-6.1-sol; text and image input, text output. OpenAI reports it nearly matches GPT-6 Astra's intelligence on agentic coding, computer use, and professional work at about one-fifth of Astra's standard token prices. 1,050,000-token context window (maximum 922,000 input tokens) and 128,000 max output tokens; knowledge cutoff 30 April 2026. Pricing $2 / 1M input ($0.10 cached input, $2.50 cache writes), $10 / 1M output; prompts over 272K input tokens bill at 2x input/cache and 1.5x output for the full request. Available via the Claude/OpenAI API and in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users; a GPT-6.1 Sol Ultrafast speed tier was announced as coming soon.

GPT-6 Sol is OpenAI's mid-priced GPT-6 model released 2026-09-22 alongside GPT-6 Luna, offering more reasoning capability than Luna while still cutting cost sharply versus prior tiers. Text and image input, text output; 1,050,000-token context window and 128,000 max output tokens. Knowledge cutoff 20 April 2026. Pricing: $2 / 1M input, $10 / 1M output. Developed with methods similar to GPT-6 Astra's; OpenAI reports GPT-6 Sol makes about half as many mistakes as GPT-5.6 Sol and outperforms its predecessor on internal benchmarks.

GPT-6 Luna is OpenAI's lower-tier, high-throughput GPT-6 model released 2026-09-22 alongside GPT-6 Sol, positioned as an enterprise workhorse for common, lower-complexity tasks at a fraction of prior-tier cost. Optimized for fast responses and higher volume. Text and image input, text output; 1,050,000-token context window and 128,000 max output tokens. Knowledge cutoff 18 May 2026. Pricing: $0.10 / 1M input, $0.50 / 1M output. Built with methods similar to GPT-6 Astra for gains in professional work, factuality, coding, computer use, and alignment; outperforms its predecessor on OpenAI's benchmarks.

The higher-quality reasoning tier of OpenAI's GPT-6 Astra, released Sep 4, 2026 (API id gpt-6-astra-pro). It is the same underlying model as GPT-6 Astra served with reasoning.mode set to 'pro', trading latency for higher-quality responses on the hardest professional, coding, research, computer-use, and agentic tasks. Carries a 1.05M-token context window and up to 128K output tokens. Standard pricing is $10/$50 per Mtok input/output (cached input $1/Mtok, batch at half price), with a Fast mode at ~2x the standard rate. Access is limited to ChatGPT Pro, Business, and Enterprise users (and the pro reasoning mode on the API); off by default at launch and enabled per workspace. Shares GPT-6 Astra's positioning around state-of-the-art computer/browser use, finished professional artifacts, long-session Codex coding, and cybersecurity capability that crosses the 'Critical' threshold of OpenAI's Preparedness Framework — so exploit-creation capabilities ship gated behind OpenAI's Daybreak program.

OpenAI's new frontier flagship, released Sep 3, 2026 (API id gpt-6-astra) as the successor to GPT-5.6 Sol and OpenAI's most capable and most aligned model to date. Positioned around three areas: state-of-the-art computer/browser use, a step change in producing finished professional artifacts (documents, slides, spreadsheets, and websites via Sites in ChatGPT that follow the user's templates), and a jump in cybersecurity capability that crosses the 'Critical' threshold of OpenAI's Preparedness Framework. It decides when to ask clarifying questions versus proceed on assumptions, holds constraints across mid-task steering, and — with an updated Codex harness — keeps searchable notes across context windows instead of lossy compaction. Carries a 1M-token context window; available as gpt-6-astra in the OpenAI API and on Amazon Bedrock (with Microsoft Azure), plus a GPT-6 Astra Pro tier for ChatGPT Pro, Business, and Enterprise (off by default at launch, enabled per workspace). Standard API pricing is $10/$50 per Mtok input/output, with a Fast mode at ~2x price (~$20/$100) for up to 2.5x speed, plus separate cache rates. Vendor-reported benchmarks include OSWorld 2.0 72.6% (at ~47% less time per task than Sol), FrontierMath Tier 4 v2 97.6%, GPQA Diamond 96.0%, Terminal-Bench 4.0 57.7%, and ExploitBench 100%; the marquee ARC-AGI-3 ~99.9% depends on a stateful provider-adapter harness (stateless runs score far lower), and it trails Claude Fable 5.1 on Humanity's Last Exam with tools (57.2% vs 65.0%). Because it crosses the Critical cyber threshold, exploit-creation capabilities ship gated behind OpenAI's Daybreak program; OpenAI also flags a regression in chain-of-thought monitorability as a research priority.