Summary
According to a post on X by @OpenAI, the company released GPT-6.1 Terra, priced at $1 per million input tokens and $5 per million output, which the post says is half the price of GPT-6.1 Sol. OpenAI says Terra matches GPT-6 Astra on Agents' Last Exam, a test of agents doing real software work, at a tenth of the price per token. The post also says Terra finishes tasks more than three times faster and has a 1.05 million token context window. The snippet says the model is live in the API, but it is cut off before the rest of the details.
AI-assisted summary based on the listed source.
What happened
OpenAI released GPT-6.1 Terra (about 7,800 likes on its post), priced at $1 per million input tokens and $5 per million output, half the price of GPT-6.1 Sol. OpenAI says it matches GPT-6 Astra on Agents' Last Exam, a test of agents doing real software work, at a tenth of the price per token and finishes tasks...
Why it matters
Developers building agents and computer-use tools could get similar benchmark results for far less per token if OpenAI's claims hold. Businesses running many agent tasks may want to compare Terra's cost and speed against their current models. Watch for independent testing of the Agents' Last Exam results and for how the model performs on real workloads.
Signal Intelligence
Signal Strength 88%
Technical label WATCH
Public Interest 48
Category PRODUCT UPDATE
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 74
Novelty Interest Score 94
Consequence Score 46
Curiosity Score 16
Shareability Score 58
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).
