GPT-6 Astra in Practice: Tests, Use Cases, and Feedback

A price breakdown shows GPT-6 Astra at $10/$50 standard, $20/$100 Fast, and $60/$300 Ultrafast, a 6x multiplier for speed, compared with GPT-6.1 Sol and Claude Opus 5.5 fast modes.

A Turkish post says GPT-6 Astra scored 80 on a physics benchmark, told experts the answer key was wrong, and after rechecking its score rose to 98.

A Japanese user had GPT-6 Astra study Famicom sprite usage and build a sprite-based shooting game, shown running in their own NESDOOM emulator.

Using PowerShell, Python, Whisper, FFmpeg and screenshot feedback, Astra fully automates a Camtasia edit for about 1% of the weekly allowance.

The author notes Anthropic names models after poetry and music (Haiku, Sonnet, Opus, Fable) while OpenAI looks to the sky (Luna, Sol, Astra), reflecting the most beautiful words of human civilization.

The post claims Astra autonomously solved 49 of 50 unpublished theoretical physics research problems, scoring 98% at under $3 per problem.

After a large coding project with GPT-6 Astra, the author finds it smart but says Opus 5.5 is the more productive model, expecting Anthropic to keep high-end workload share.

On 50 unpublished physics research problems, GPT-6 Astra solved 98% and Opus 5.5 92% at under $3 per problem; the authors note AI still lacks the taste to set research direction.

A user bets OpenAI will ship GPT-6.2 Astra within seven days of Fable 5.5 to avoid ceding the spotlight to Anthropic; no confirmation yet.

OpenAI's blog details how its team used GPT-6 models to merge 1,400+ cleanup PRs and delete 800k lines in two weeks, with the actual prompts.

A rumor says OpenAI scrapped the GPT-6.1 Astra release but kept training on the same base model, which could become its answer to Fable 5.5 if alignment is fixed.

A Japanese post argues Anthropic's revenue growth slowed exactly when enterprises moved from Claude Code to OpenAI Astra Codex over data-review terms, and says customers are returning after Opus 5.5.