Matthew Berman reviews GPT-6 Astra using OpenAI benchmark claims and his own practical tests. He examines browser and computer use, coding, game generation, three-dimensional scenes and knowledge work, including projects that require the model to plan and iterate over long contexts.
Astra produces strong one-prompt games and can sustain a multi-day simulation project, suggesting a meaningful gain in persistence and tool use. Matthew also notes that the model often falls back to familiar visual patterns and can leave an obvious AI-generated look even when the underlying functionality is strong.
The model costs $10 per million input tokens and $50 per million output tokens, so Matthew frames it as a premium system whose value depends on the task. He concludes that Astra expands what one agent can complete, while cost, design repetition and rollout constraints remain important limitations. Promotional requests are omitted.
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