GPT-6 Astra
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
Plain-English overview
GPT-6 Astra is designed for multistep work across coding, research, browsers, documents, and professional software. It accepts text and images, returns text, and works with functions, search, code execution, computer use, image generation, skills, MCP, and other Responses API tools.
Astra can vary its reasoning from low through max and supports mid-turn steering and asynchronous tool calls. That flexibility suits long-running agents, but the premium token price and long-context multiplier make routing, caching, and task-level cost measurement especially important.
Category comparison
These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.
Pricing & comparisons
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
GPT-6 Astra
OpenAI
Estimated total (USD)
For the usage above · USD · API pricing, not a subscription
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
API and provider access
Availability
Initial access is rolling out through OpenAI's Trusted Access Program, followed by the API and eligible ChatGPT plans over the coming days.
Access depends on account eligibility and rollout timing; OpenAI has not published an Astra-specific country matrix.
Check live availabilityData and training
OpenAI says API content is not used for model training by default. Standard abuse-monitoring logs may be retained for up to 30 days, with additional controls available to qualifying organizations.
This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.
Read the provider policyFrequently asked questions
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools. GPT-6 Astra is designed for multistep work across coding, research, browsers, documents, and professional software. It accepts text and images, returns text, and works with functions, search, code execution, computer use, image generation, skills, MCP, and other Responses API tools.
GPT-6 Astra was released on September 4, 2026 according to the cited provider materials.
Initial access is rolling out through OpenAI's Trusted Access Program, followed by the API and eligible ChatGPT plans over the coming days. The access routes listed in this guide are OpenAI.
$10 input · $50 output / 1M tokens. Cached input is $1 per million tokens and cache writes are $12.50. Requests above 272K input tokens use 2× input/cache rates and 1.5× output rates for the full request; Batch and Flex are 50% of Standard.
Initial access is rolling out through OpenAI's Trusted Access Program, followed by the API and eligible ChatGPT plans over the coming days. Access depends on account eligibility and rollout timing; OpenAI has not published an Astra-specific country matrix.
OpenAI says API content is not used for model training by default. Standard abuse-monitoring logs may be retained for up to 30 days, with additional controls available to qualifying organizations. The policy belongs to the provider route and account terms, so verify it again before production use.
USD per million tokens for the shown API routes at standard context length. Cache and long-context rates may differ. Models without matching reviewed prices are omitted; lower cost does not mean better quality.
Mistral AI
OpenAI
OpenAI
This model
Anthropic
Mistral AI
OpenAI
OpenAI
This model
Anthropic
Related comparisons
OpenAI's flagship general model for difficult coding, analysis, and professional work, with a very large context window and a broad native tool set.
Open full comparisonAnthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability.
Open full comparisonGoogle's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price.
Open full comparisonSpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools.
Open full comparisonA specialist Grok model that sends several AI agents to investigate a difficult question in parallel, then combines their work into one researched answer.
Open full comparisonThinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.
Open full comparisonMistral's open-weight frontier model for demanding multimodal, coding, reasoning, and agent workflows, with a 256K context window.
Open full comparisonMistral's lower-cost open model that combines normal instruction following, reasoning, coding, vision, and agent tools in one endpoint.
Open full comparisonAlibaba's frontier Qwen model for long-context reasoning, coding, tools, and understanding text, images, and video.
Open full comparisonMiniMax's million-token multimodal model for coding, agents, computer use, and long projects at a low direct API price.
Open full comparisonZ.ai's open-weight long-context reasoning model for coding, tools, and agentic work across self-hosted and managed routes.
Open full comparisonMoonshot AI's frontier multimodal model for million-token coding, reasoning, knowledge work, and tool-driven agents.
Open full comparisonTII's compact open reasoning model for text tasks, long contexts, and self-hosted function-calling workflows.
Open full comparisonTII's 34B open instruction model for multilingual text, coding, and controlled self-hosted applications.
Open full comparisonMeta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.
Open full comparisonCeleris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.
Open full comparisonNVIDIA's largest Nemotron 3 reasoning model for complex agents, coding, planning, tools, RAG, and million-token analysis.
Open full comparisonNVIDIA's compact 30B mixture-of-experts model for efficient specialist agents and high-volume text workflows.
Open full comparisonAlibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use.
Open full comparisonDeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.
Open full comparisonDeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.
Open full comparison