VQV Signal
A post on X by @StatsWire reports that OpenAI's GPT-6.1 Terra costs $1 per million input tokens and $5 per million output tokens, or $2 and $10 at Fast speed. The post says this is half the price of GPT-6.1 Sol and lists a 1.05M context window and 128K max output. It also notes that OpenAI itself recommends Sol or Astra for the hardest coding tasks.
A post on X by @StatsWire reports that OpenAI's GPT-6.1 Terra costs $1 per million input tokens and $5 per million output tokens, or $2 and $10 at Fast speed. The post says this is half the price of GPT-6.1 Sol and lists a 1.05M context window and 128K max output. It also notes that OpenAI itself recommends Sol or Astra for the hardest coding tasks.
AI-assisted summary based on the listed source.
StatsWire reports Terra at $1 input and $5 output per million tokens (or $2/$10 at Fast speed), half the price of GPT-6.1 Sol, with a 1.05M context window and 128K max output. It also notes OpenAI itself recommends sticking with Sol or Astra for the hardest coding tasks. Also:...
Developers and businesses comparing model costs would see Terra as a lower-priced option. The post's note that OpenAI recommends Sol or Astra for the hardest coding work means teams would need to weigh the lower price against that guidance. Watch for OpenAI's official pricing and documentation to confirm these figures.
Teams using AI at work may want to compare this against current productivity and review workflows.
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VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).
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