Release2d ago
OpenAI's Tibo Says Dots Will Expand Its Model Family to Include GPT-6.1 Terra for Speed and Wider Reach
At 15:50 UTC on Nov 2, Tibo (@thsottiaux), whose X bio reads "Codex & ChatGPT @OpenAI", posted that OpenAI is working on expanding the family of frontier models that power dots, including GPT-6 Astra and GPT-6.1 Terra, with others to come. He said Terra brings speed and "a nice personality upgrade" and will help bring dots to more people. Dots are the always-on agents in ChatGPT with their own cloud computer, launched on GPT-6 Astra. This is a first-hand post by an OpenAI employee, not a formal company announcement; no timing or plan details have been published.
Benchmark60d ago
OpenAI staff: Astra jumps computer-use vs Sol — ScreenSpot-Pro 76.9%→92.7%
OpenAI staffer Vaibhav (@reach_vb) shared GPT-6 Astra computer-use gains versus GPT-5.6 Sol: ScreenSpot-Pro (click targeting) 76.9%→92.7%; OSWorld 2.0 desktop workflows 65.7%→72.6% with 47% less time in latency simulations; Mind2Web web tasks about 1.9× faster with Astra plus an updated Codex harness. Concrete signal for browser/desktop agent and Codex coding workloads.
Release9d ago
OpenAI launches GPT-6.1 Terra: fast, low-cost computer use at $1/$5 per million tokens, half the price of GPT-5.6 Terra and GPT-6.1 Sol
On Oct 26 OpenAI released GPT-6.1 Terra, an efficient model for visual reasoning, precise computer use and natural writing. It is rolling out today to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex, and in the API as gpt-6.1-terra. Standard API pricing is $1 input, $0.05 cached input and $5 output per million tokens, which OpenAI says is 50% lower than GPT-5.6 Terra and GPT-6.1 Sol, with a 1,050,000-token context window. By OpenAI's figures it scores 15 points higher than GPT-5.6 Terra on Agents' Last Exam at medium effort for about a third of the cost, and solves 50.3% of Terminal-Bench 4.0 at max effort.
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