OpenAI launched GPT-6.1 Terra on October 26. It replaces GPT-5.6 Terra and sits between GPT-6 Luna and the higher-capability GPT-6.1 Sol and GPT-6 Astra. The API id is gpt-6.1-terra, and Plus, Pro, Enterprise and Edu users get it in ChatGPT Work and Codex. Computerworld, quoting OpenAI, reports $1 per million input tokens, $5 per million output tokens and $0.05 for cached input. AWS's Bedrock model card shows the same rates for global routing, a 1,050,000-token context window and 128,000 maximum output tokens. Bedrock charges more above 272,000 input tokens: $2 for input and $7.50 for output. OpenAI's benchmark figures, as Computerworld reports them, were run at maximum effort. On Agents' Last Exam, Terra scored 60.0% at $1.01 per task, against 50.7% at $3.58 for GPT-5.6 Terra, 58.6% at $2.00 for GPT-6.1 Sol and 59.3% at $7.24 for GPT-6 Astra. Claude Opus 5.5 scored 63.2% at $8.82. On OSWorld 2.1, Terra scored 74.2% at $1.19 per task, and Claude Sonnet 5.5 led at 83.9% and $5.74. OpenAI's system card treats Terra as Critical in cybersecurity and High in biological and chemical capability. OpenAI says the list price is at least 50% below GPT-6.1 Sol's and GPT-5.6 Terra's, so a high-volume job on either could cost much less. The task-level numbers matter more. OpenAI's own test has Terra at $1.01 per task against $3.58 for GPT-5.6 Terra. Those figures are OpenAI-reported, at maximum effort, and Opus 5.5 still scored higher on that test at $8.82. Token price, score and cost per task are three different measures, and review time can erase a saving. Put one recurring job through Terra and compare finished work, including the minutes a person spends checking it. Run one recurring task on GPT-6.1 Terra and compare cost per finished task. OpenAI's announcement page returned an access error to automated retrieval, and no official chart image URL could be verified. The benchmark and price figures come from Computerworld's report quoting OpenAI, with prices matched to AWS's Bedrock card. The system card text retrieved does not carry the Agents' Last Exam or OSWorld 2.1 tables. Addendum to GPT-6 Astra System Card: GPT-6.1 Terra: OpenAI's safety documentation for Terra: the Critical cybersecurity and High biological and chemical classifications, the safeguards stack shared with Sol and Astra, and the safety and hallucination evaluations. Amazon Bedrock model card for OpenAI GPT-6.1 Terra: AWS's launch date, 1,050,000-token context window, 128,000 output limit, regional price tiers and the above-272,000-token long-context rates. OpenAI bets on AI economics with lower-cost GPT-6.1 Terra: Computerworld's report quoting OpenAI's price list and the maximum-effort Agents' Last Exam, OSWorld 2.1 and MMMU-Pro results with cost per task, plus an analyst's caution about review costs.