What is GPT-6.1 Terra's context window?

The API model gpt-6.1-terra supports a context window of 1,050,000 tokens and a maximum output of 128,000 tokens. Inputs above 272,000 tokens trigger long-context pricing.

Does GPT-6.1 Terra come with a full usage reset for Codex and ChatGPT Work?

No. The Day 22 announcement centers on the model release; no new full reset was announced. The reset was a separate Day 21 notice.

Is GPT-6.1 Terra better than GPT-6 Astra?

Not across the board. Terra matches Astra on some Computer Use evaluations, but OpenAI still recommends Astra for complex research and coding.

Large Language ModelsAI Business & IndustryZenn AI/ML3m agoOct 28, 2026, 13:00 JST

OpenAI releases GPT-6.1 Terra at half the API price

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3 Key Points

What happened
OpenAI released GPT-6.1 Terra on October 26 US Pacific time, with a 1,050,000-token context window, 128,000-token max output, and standard API pricing of $1.00 per million input tokens and $5.00 per million output tokens.
Why it matters
At half the standard token rates of its predecessor, Terra lets teams run tasks like image understanding, computer operation, and writing at lower cost per token, though actual savings depend on token usage per job.

WHO IT HITSEngineering and finance teams building on the OpenAI API gain a cheaper high-volume option for document, image, and screen-operation tasks, but they will need to re-measure cost per completed job rather than trust the token price alone.

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Context & Analysis

GPT-6.1 Terra arrives the day after OpenAI's Day 21 notice, which reset usage quotas for Codex and ChatGPT Work. The company framed the reset and the model release as separate actions: the reset restores quota, while Terra changes what that quota can accomplish.

The model's benchmark results are the main evidence OpenAI offers for that claim. On Terminal-Bench 4.0, at maximum reasoning effort, Terra scored 50.3% versus 21.5% for GPT-5.6 Terra, a 28.8-point gain. OpenAI also reports a drop in error rate on its internal benchmark of difficult questions, from roughly 22.3% to 4.3% at maximum effort. Both figures come from OpenAI's published evaluations, not from independent reproduction.

For teams planning adoption, OpenAI's own guidance puts Terra in the middle of a four-model lineup: Luna for simple bulk tasks, Sol for complex code and business decisions, and Astra for the hardest research and design work. The practical question is whether Terra's lower per-token price holds when measured against total task cost, including retries and tool calls.

FAQ

What is GPT-6.1 Terra's context window?: The API model gpt-6.1-terra supports a context window of 1,050,000 tokens and a maximum output of 128,000 tokens. Inputs above 272,000 tokens trigger long-context pricing.
Does GPT-6.1 Terra come with a full usage reset for Codex and ChatGPT Work?: No. The Day 22 announcement centers on the model release; no new full reset was announced. The reset was a separate Day 21 notice.
Is GPT-6.1 Terra better than GPT-6 Astra?: Not across the board. Terra matches Astra on some Computer Use evaluations, but OpenAI still recommends Astra for complex research and coding.

Zenn AI/MLRead Original Article

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