OpenAI introduced GPT-6.1 Terra on October 26, describing it as “a fast, efficient model that combines detailed visual reasoning and precise computer use alongside clearer, more natural writing.” The announcement's tagline is “Bringing fast and capable computer use to everyone.”

Specs and price

OpenAI's model page lists a 1,050,000-token context window, 128,000 maximum output tokens and a June 1, 2026 knowledge cutoff. Its pricing page lists Terra at $1 per million input tokens and $5 per million output tokens: exactly half of GPT-6.1 Sol ($2/$10) and ten times GPT-6 Luna ($0.10/$0.50). GPT-6 Astra stays at $10/$50.

Where it sits

Artificial Analysis scores Terra at 48 on its Intelligence Index at max effort, against 52 for GPT-6.1 Sol and 53 for GPT-6 Astra. In AA's cost-per-task column the order flips: $0.40 for Terra, $0.72 for Sol and $3.26 for Astra. AA lists several effort levels per model; these are each model's max-effort rows.

OpenAI's Ted Sanders, quoted by Simon Willison, called Terra “a nice midrange option if you want something cheaper than Sol but a lot smarter than Luna.”

MarkTechPost reports that Terra matches GPT-6 Astra's medium-effort Agents' Last Exam score at $0.29 per task versus $4.82. We have not reproduced that figure.

What it means for the Model Guide

The GPT badge stays Rolling Out. Terra adds a tier rather than a new flagship, so the open questions are still Astra access and the rumored 6.1 refresh tracked in our GPT-6.1 roundup. For cost-sensitive computer-use and agent workloads, Terra is worth testing against Sol.