GPT-6.1 Terra is OpenAI’s mid-tier model, released on October 26, 2026, and built for fast computer use, visual reasoning and high-volume work. With 1min.AI you can chat with it, use it for coding and call it through the 1min.AI API from one place. OpenAI prices it at $1 per million input tokens and $5 per million output tokens, and says it finishes tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol.

• Best for: screenshots, charts, invoices, forms, drafting, rewriting, summarizing and everyday coding
• Less ideal for: the hardest engineering and deep reasoning problems
• Context: 1,050,000 tokens in, up to 128,000 tokens out
• Where to use it: 1min.AI Multi AI Chat, the 1min.AI API (gpt-6.1-terra), OpenAI’s API, ChatGPT Work and Codex

What Is GPT-6.1 Terra?

GPT-6.1 Terra (API name gpt-6.1-terra) sits below GPT-6.1 Sol in OpenAI’s GPT-6.1 lineup. OpenAI describes it as a fast, efficient model for detailed visual reasoning, precise computer use and clearer, more natural writing.

GPT-6.1 Terra Specs at a Glance

Audio, video input and fine-tuning are not supported.

What Is GPT-5.6 Terra, and What Changed?

GPT-5.6 Terra is the previous Terra generation. At medium reasoning effort, OpenAI reports that GPT-6.1 Terra scores 15 percentage points higher on its Agents’ Last Exam computer-use benchmark at about one-third of the cost.

Is GPT-6.1 Terra Good? Benchmarks and Real Results

For its price, yes. These are the numbers that matter most:

Scores differ between sources because each uses its own test setup, so compare models within the same source.

Computer Use and Visual Reasoning

This is where Terra stands out. OpenAI says it nearly matches GPT-6 Astra and GPT-6.1 Sol on MMMU-Pro visual reasoning at a much lower cost. Practical examples include matching product photos to catalog entries, reading invoices and acting on application screens.

Accuracy and Safety

The drop in factual errors makes Terra more dependable for drafting and analysis. OpenAI also reports better scope-keeping, more honest disclosure of limits and strong resistance to prompt injection. Artificial Analysis measured a 65.5% non-hallucination rate at max effort.

GPT-6.1 Terra Speed

Speed is Terra’s headline feature:

• OpenAI’s claim: over 3x faster task completion than GPT-6 Astra and GPT-6.1 Sol
• Output speed: 97 tokens per second at max effort vs 79 for Sol (Artificial Analysis)
• First token: about 0.96 seconds without reasoning, 1.41 seconds at low effort
• Live provider data: around 90 tokens per second at the best OpenRouter endpoint

GPT-6.1 Terra Pricing

OpenAI’s Batch and Flex modes are 50% lower, and Fast mode is 2x. Prompts above 272K input tokens are billed at 2x input and 1.5x output. On Artificial Analysis’s cost-per-task measure, Terra runs from $0.07 at low effort to $0.96 at max, against $0.16 to $1.27 for Sol.

GPT-6.1 Terra vs GPT-6.1 Sol

Terra vs Sol: Which Should You Pick?

Pick Terra when speed, volume and cost per task matter most. Pick Sol when the problem is hard and accuracy outweighs everything else. OpenAI itself points to Sol and Astra for the most complex coding tasks, yet Terra beats Sol on Terminal-Bench-Science 0.1 at max reasoning, at lower cost. For a wider view of frontier options, see this GPT-6.1 Sol vs Opus 5.5 comparison.

Is GPT-6 Astra Better Than GPT-6.1 Sol?

Slightly, on raw intelligence. Artificial Analysis scores GPT-6 Astra at 56.9 against 54.5 for Sol at max effort, and Astra costs far more per token.

Terra vs GPT-6 Luna

OpenAI placed GPT-6 Luna beside Terra in its launch charts for computer use, vision and factuality. Terra is the newer release, so check OpenAI’s launch page for exact Luna figures.

GPT-6.1 Terra for Coding

Terra is a solid daily coding partner for generating functions, refactoring, debugging and terminal tasks. Its 84.0% on Vibe Code Bench and roughly 50% to 56% on Terminal-Bench 4.0 support that. Codex is also the largest app sending traffic to Terra on OpenRouter, at 155B tokens. For the toughest architecture or multi-file engineering, step up to Sol.

GPT-6.1 Terra API: OpenAI and 1min.AI

Developers have two routes. OpenAI’s own API serves the model as gpt-6.1-terra through Chat Completions and Responses, and tool calling requires the Responses API. The 1min.AI API also lists gpt-6.1-terra in its unified Chat with AI endpoint, so you can reach it with the same request format you use for other models. It supports streaming, web search, image and file attachments, conversation history and memory.

curl -X POST "https://api.1min.ai/api/chat-with-ai" \
  -H "API-KEY: <your-api-key>" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "UNIFY_CHAT_WITH_AI",
    "model": "gpt-6.1-terra",
    "promptObject": { "prompt": "Summarize this report in 5 bullets" }
  }'

Add ?isStreaming=true to the URL for streaming responses. Swapping models is as simple as changing the model value, which is handy for testing Terra against others such as the one covered in this Gemini 4 Argon API guide.

How to Try GPT-6.1 Terra in 1min.AI

1. Open 1min.AI Multi AI Chat. You can start right away without registering.
2. Select GPT-6.1 Terra - OpenAI from the model list.
3. Type a prompt, or upload a screenshot, chart or document.
4. Switch models in the same workspace to compare answers side by side.

Credit use is estimated per page of about 500 words: 2,001 credits for input and 10,005 for output.

Prompts Worth Testing

• “Extract vendor, date and total from this invoice screenshot into a table.”
• “Summarize this 80-page report into 10 decision-ready bullets.”
• “Find the bug in this function and explain the fix.”

Terra Across 1min.AI Tools

GPT-6.1 Terra also powers Keyword Research, Content Generator, Rewriter, Content Expander, Content Shortener, Content Translator, Paraphraser, Summarizer, Grammar Checker, Document Translator, Presentation Generator and Code Generator. Workspace tools like AI Studio, Brand Voice List, Prompt List, Tag List and Asset List work without an account. History and Shared Zone need one.

What Are People Saying About GPT-6.1 Terra?

Early community reactions, including Reddit threads, center on two themes: surprise at how quickly Terra handles computer tasks and coding queries, and side-by-side tests against DeepSeek V4.1 Flash on speed, agent steps and total token cost. Treat these as early signals, not final verdicts.

GPT-6.1 Terra FAQ

What is GPT-6.1 Terra?

OpenAI’s fast, cost-efficient mid-tier model for visual reasoning, computer use and natural writing.

Is 6.1 Terra good?

Yes for speed, cost and everyday work. It trails Sol and Astra on the hardest reasoning and engineering tasks.

When was GPT-6.1 Terra released?

October 26, 2026.

How much does it cost?

OpenAI lists $1 per million input tokens, $0.05 cached input and $5 per million output tokens.

What is the context window?

1,050,000 tokens, with up to 128,000 output tokens.

Can I use GPT-6.1 Terra through an API?

Yes. Use gpt-6.1-terra in OpenAI’s API or in the 1min.AI Chat with AI API.

Where else can I use it?

In ChatGPT Work, Codex and 1min.AI.

Start Using GPT-6.1 Terra Today

If you want fast answers, sharp image understanding and room for huge documents, Terra is built for you. The quickest way to judge it is to run your own prompt in 1min.AI.

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