
What happened
OpenAI released GPT-6.1 Terra, pitched at image and screen understanding, PC operation, and natural writing, and said it beat GPT-5.6 Terra by 15 points on its Agents’ Last Exam evaluation at roughly one-third the cost. It handles up to 1.05 million tokens of context in the API and costs $1 per 1 million input tokens and $5 per 1 million output tokens.
Why it matters
The result, as OpenAI reports it, suggests the new model delivers more capable computer-use work per dollar than the previous generation, which could make screen-reading and app-operating AI tasks cheaper to run at scale.
Summaries like this, every morning.
GPT-6.1 Terra sits in the line of Terra models that OpenAI positions around practical work rather than pure benchmark chasing. The company's own framing emphasizes reading invoices into accounting software, matching product photos to catalogs, and operating apps to complete tasks, with speed and cost as explicit goals. The reported Agents’ Last Exam result (15 points above GPT-5.6 Terra at roughly one-third the cost) is the main data point OpenAI offers for that claim, and the API's 1.05 million-token context window suggests the model is meant to hold longer working documents and screens in view. Pricing is straightforward at $1 per 1 million input tokens and $5 per 1 million output tokens, with a surcharge once input passes 272,000 tokens, so heavier-context uses carry a different cost profile. Availability spans ChatGPT Work, Codex, and the API, with admin controls governing organizational access in the first two.
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