GPT-6 Astra

Name: GPT-6 Astra
Author: OpenAI

by OpenAI

APIAvailable through a hosted API — pay per token, no self-hosting required

Released September 20261050K context≈ 787,500 words

GPT-6 Astra is OpenAI's most capable model, released September 2026 after their largest-ever pretraining run on over 100,000 GPUs at the Stargate facility in Texas. It is state-of-the-art in complex reasoning, software engineering, cybersecurity, science, and computer use. Astra is built as a computer operator — it can use software, inspect screens, build websites, generate documents, run QA checks, and work across coding environments. It supports async tool calling, allowing it to continue reasoning while external tools execute. The 1,050,000-token context window and 128,000-token max output make it suited for long-document analysis and extended code generation. Priced at $10 input and $50 output per million tokens, it sits at the premium tier alongside competing flagship models.

GPT-6 Astra

by OpenAI

APIAvailable through a hosted API — pay per token, no self-hosting required

Released September 20261050K context≈ 787,500 words

GPT-6 Astra is OpenAI's most capable model, released September 2026 after their largest-ever pretraining run on over 100,000 GPUs at the Stargate facility in Texas. It is state-of-the-art in complex reasoning, software engineering, cybersecurity, science, and computer use. Astra is built as a computer operator — it can use software, inspect screens, build websites, generate documents, run QA checks, and work across coding environments. It supports async tool calling, allowing it to continue reasoning while external tools execute. The 1,050,000-token context window and 128,000-token max output make it suited for long-document analysis and extended code generation. Priced at $10 input and $50 output per million tokens, it sits at the premium tier alongside competing flagship models.

Glossary

Code GenerationThe ability of a model to write, complete, or suggest programming code based on prompts or partial code input.Complex ReasoningThe ability to work through multi-step problems, analyze nuanced information, and draw logical conclusions.Computer UseThe ability for an AI model to interact with computer interfaces, navigate software applications, and execute actions on a user's behalf by understanding and responding to visual or textual representations of screens.Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.PretrainingThe initial training phase where a model learns general patterns from a large dataset before being adapted for specific downstream tasks.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.TokensThe basic units of text that a language model processes, typically representing words or word fragments.