GPT-6 Astra Review: Pricing, Features, Community Feedback, and Claude vs Gemini
OpenAI has released GPT-6 Astra, its new flagship model for complex reasoning, software engineering, computer use, research, and document creation. The headline is not simply that GPT-6 is “smarter.” Astra is designed to carry out an entire workflow across code, browsers, and professional software, while asking for clarification when a decision could materially change the result.
The model is available through the API as gpt-6-astra. OpenAI says rollout began with a limited set of organizations and is expanding to ChatGPT Plus, Pro, Business, and Enterprise users, as well as Azure and Amazon Bedrock. API Standard pricing is $10 per million input tokens and $50 per million output tokens, with separate cache rates and a Fast mode priced at twice the Standard rate.
That price places GPT-6 Astra in the same premium band as Claude Fable 5.1, while Google’s Gemini 3.8 Flash remains dramatically cheaper per token. Early community feedback explains why the comparison is more complicated than a leaderboard: users praise Astra’s coding and research ability, but report heavy token usage, uneven initiative, rollout confusion, and weaker creative-writing behavior than expected.
The practical takeaway is simple: GPT-6 Astra looks like a powerful escalation model, not an automatic replacement for every Claude or Gemini call.