OpenAI model releases

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.

OpenAI's cybersecurity-specialized model, launched Aug 10 2026 as the successor to the limited-preview GPT-5.5-Cyber. Built on GPT-5.6-Sol and tuned for authorized security workflows — vulnerability discovery, exploit-chain development, privilege escalation, authentication-bypass analysis, patch validation, and red-teaming — with a deliberately lower refusal rate on dual-use security tasks than general GPT-5.6. OpenAI reports a 95% completion rate on advanced exploit-chain prompts (vs ~1.5% for GPT-5.6-Sol) and that the model surfaced a high-severity V8 JavaScript-engine vulnerability plus flaws in unnamed mobile-OS, database, and kernel targets. Not generally available: access is gated to vetted defenders through the expanded Daybreak program's new "Daybreak Red" tier (partners include Accenture, IBM, Palo Alto Networks, CrowdStrike, Fortinet, Akamai, and Cloudflare). Size undisclosed; weights not released.

OpenAI's GPT-5.6 series umbrella row. Officially previewed June 26, 2026 as three durable capability tiers — Sol (flagship), Terra (balanced, for everyday work), and Luna (fast and affordable) — introduced with a new `max` reasoning effort for deeper reasoning and an `ultra` mode that leverages subagents to accelerate complex work. In the GPT-5.6 naming system the number marks the generation while Sol/Terra/Luna are tiers that can advance on their own cadence. Initially a limited preview via the API and Codex for a small group of vetted partners (after U.S. government review), with general availability across ChatGPT, Codex, and the API planned in the following weeks.

Balanced, everyday-work tier of OpenAI's GPT-5.6 series, officially previewed June 26, 2026. OpenAI positions Terra as competitive with GPT-5.5 while being roughly 2x cheaper. Shares the series' new `max` reasoning effort and `ultra` subagent mode and OpenAI's GPT-5.6 safety stack. Begins as a limited preview via the API and Codex for vetted partners after U.S. government review, with broad availability planned in the following weeks. Priced at $2.50 / $15 per million input/output tokens.

Flagship tier of OpenAI's GPT-5.6 series, officially previewed June 26, 2026 — OpenAI's strongest model to date. Adds a new `max` reasoning effort for the deepest reasoning and an `ultra` mode that uses subagents to accelerate complex work. Sets a new state of the art on Terminal-Bench 2.1 (command-line, agentic coding) and shows broad gains in long-horizon biology (GeneBench v1) and cybersecurity (ExploitBench, ExploitGym), paired with OpenAI's most robust safety stack and a phased release. Begins as a limited preview via the API and Codex for a small group of vetted partners after U.S. government review, with general availability planned in the following weeks; also launching on Cerebras at up to 750 tokens/sec in July. Priced at $5 / $30 per million input/output tokens.

Fast, low-cost tier of OpenAI's GPT-5.6 series, officially previewed June 26, 2026 — the most affordable model in the family, bringing strong capability at OpenAI's lowest cost. Shares the series' capability-tier naming and GPT-5.6 safety stack. Begins as a limited preview via the API and Codex for vetted partners after U.S. government review, with broader availability planned in the following weeks. Priced at $1 / $6 per million input/output tokens.

OpenAI's limited-preview cybersecurity model for vetted defenders in Trusted Access for Cyber. It is tuned for more permissive authorized security workflows such as vulnerability triage, patch validation, malware analysis, red teaming, and controlled exploit validation, but is not generally available.

OpenAI's May 2026 GPT-5.5 release: a stronger frontier workhorse positioned for deep reasoning, coding, multimodal analysis, and long-context agent workflows. OpenAI lists an 800K-token input context and 128K-token output limit, with API pricing at $3 / $20 per million input/output tokens.

OpenAI's frontier reasoning model for life sciences, named after Rosalind Franklin and built to accelerate drug discovery, genomics, protein reasoning, and scientific research workflows. Optimized for multi-step, tool-heavy tasks (literature review, experimental design, sequence-to-function interpretation) with access to 50+ scientific databases via a Codex Life Sciences plugin. A June 3, 2026 update folded in GPT-5.5's agentic coding and tool use while using ~31% fewer tokens. Available as a research preview in ChatGPT, Codex, and the API through OpenAI's trusted-access program; not openly available.

Workhorse GPT-5 release with a dedicated Thinking mode; widely deployed across ChatGPT and the API.

OpenAI's February 2026 Codex update, optimized for agentic software engineering in ChatGPT, Codex, and the API. GPT-5.3-Codex improves code quality, patch reliability, repository-scale reasoning, and long-running autonomous coding workflows while keeping the 400K-token input context and 128K-token output limit of the Codex line.

OpenAI's December 2025 Codex model for agentic coding, released after GPT-5.2 with stronger repository understanding, code generation, and tool-use behavior for software engineering agents. The API model is listed with a 400K-token input context, 128K-token output limit, and $1.25 / $10 per million input/output tokens.

OpenAI's December 2025 GPT-5.2 general model release, positioned as a stronger default for reasoning, coding, vision, instruction following, and long-context analysis. OpenAI lists a 400K-token input context, 128K-token output limit, and $2 / $12 per million input/output tokens.

Smaller gpt-oss reasoning model optimized for local inference on systems with about 16GB of memory.

OpenAI's larger open-weight reasoning model, a 117B-total / 5.1B-active MoE with 128K context for local and self-hosted deployment.

Reasoning model released alongside o4-mini with tool use, image reasoning, and stronger agentic problem solving.

API model family focused on coding, instruction following, and one-million-token long-context work.

General release of OpenAI's o1 reasoning model with stronger deliberative reasoning and multimodal ChatGPT integration.

OpenAI's first public reasoning-model preview, optimized to spend more inference time on hard math, coding, and science tasks.

The 2024 omni-modal model that defined a generation of assistants. Deprecated in Feb 2026 and fully retired across ChatGPT on April 3, 2026.

Lower-cost GPT-4 generation with a 128K context window, introduced at OpenAI DevDay.

The model that brought reliable multi-step reasoning to the mainstream; size never disclosed.

OpenAI's first ChatGPT API model, bringing the GPT-3.5 chat-tuned line to developers at much lower cost than text-davinci-003.

The 175B model that proved in-context learning at scale; its base API models were retired in 2024.

Initially withheld over misuse fears, then fully released in Nov 2019 — an early 'limited release' debate.