OpenAI has released GPT-6.1 Terra, a model aimed at work involving images and computer applications, at lower standard API prices than its sibling model GPT-6.1 Sol. The launch, reported on October 27, follows the model’s release on October 26.
Terra is available in ChatGPT Work and Codex for Plus, Pro, Enterprise, and Edu users. Developers can also call it through the API using the identifier gpt-6.1-terra, making it a practical option for teams building image-aware or computer-use features without moving to the higher-priced model.
Pricing is where Terra makes its clearest case. Standard rates are listed at $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens. Those standard rates apply to prompts of up to 272,000 input tokens. Longer prompts attract double input and cache rates, plus 1.5 times the output rate for the full request, while cache writes and some tools carry separate charges.
OpenAI also reported improvements in computer-use and coding benchmarks. Those results are the company’s own evaluations rather than independent tests, so teams should still measure Terra against their own tasks before relying on it in production.
For many builders, the appeal is straightforward: a lower-cost route into visual and computer-use workflows inside familiar products. ChatGPT users can try the model in ChatGPT Work, while developers working with Codex can test how it handles coding and tool-based tasks.
The release also shows how model choice is becoming a pricing decision as much as a capability decision. When a task needs vision or computer control but not the most expensive model in a family, a cheaper tier can keep experimentation and everyday use affordable.
Source: Okay News
