Breaking news straight out of OpenAI's lab.
They just shipped GPT-6.1 Sol, an upgrade to the previous GPT-6 Sol, and the numbers here are genuinely wild.
It now performs near Astra level (OpenAI's flagship, top-tier model) on agentic coding, computer use, and professional work tasks.
But here's the kicker. Sol costs just one-fifth of Astra's token price.
Breaking that down: $2 per million input tokens, $10 for output, and cached input drops all the way to $0.10 per million tokens.
Think of it like hiring a senior engineer at a fraction of their usual rate, and getting almost the same quality of work.
That's not a small discount. That's a shift in who gets to build serious AI-powered products without burning through a budget.
It's live right now on the OpenAI API, ChatGPT Work, and Codex, ready to test today.
So the real question becomes: when near-top performance comes this cheap, why would anyone still pay full price?
🔗 Original Source & Reference: https://www.marktechpost.com/2026/09/30/openai-releases-gpt-6-1-sol-near-astra-coding-and-computer-use-at-one-fifth-of-astras-token-price/
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