GPT-6.1 Terra is OpenAI’s fast, efficient GPT-6.1 model for visual reasoning and clear, natural writing. GPT-6.1 Terra reads a 1,050,000-token context, returns up to 128,000 tokens and takes text and images. On reAPI, GPT-6.1 Terra is billed per token below OpenAI’s published rate.
Start with the prompt in the composer or choose an example.
Credit-based — 1 credit = $0.001 USD. Pay only for completed generations.
One 1K-token prompt with a 1K-token answer at the cheapest tier.
| Category | Standard · up to 272K uncached input tokens | Long context · over 272K uncached input tokens |
|---|---|---|
| Input | $0.7500 Price · 1M tokens | $1.5000 Price · 1M tokens |
| Output | $3.7500 Price · 1M tokens | $5.6250 Price · 1M tokens |
| Cache read | $0.0375 Price · 1M tokens | $0.0750 Price · 1M tokens |
| Cache write | $0.9375 Price · 1M tokens | $1.8750 Price · 1M tokens |
GPT-6.1 Terra is a model in OpenAI’s GPT-6.1 line, released on October 26, 2026. OpenAI describes GPT-6.1 Terra as a fast, efficient model for visual reasoning, precise computer use, and clear, natural writing, and suggests it for matching product photos to catalog entries, interpreting technical drawings, acting on application screens, and drafting or revising text. GPT-6.1 Terra accepts text and images and returns text. There is no model called GPT-6 Terra: OpenAI’s model ID is gpt-6.1-terra. On reAPI, GPT-6.1 Terra is served through the OpenAI-compatible Chat Completions endpoint and billed per token.
Real-world workflows and production use cases you can build and ship with this model.
Send GPT-6.1 Terra a product photo with a short list of candidate catalog entries and ask which one it shows, with a one-line reason. Use the same GPT-6.1 Terra request to pull the color, material and visible text into fields. Check a sample of GPT-6.1 Terra matches against your own catalog before you automate the step.
Read the API docs
Give GPT-6.1 Terra a technical drawing, a scanned form or an application screenshot and ask what it shows, what changed between two versions, or which value sits in a given field. Structured outputs pin the reply to a JSON schema, so the GPT-6.1 Terra answer drops straight into your pipeline.
OpenAI positions GPT-6.1 Terra for clear, natural writing. Use GPT-6.1 Terra to draft release notes, rewrite support replies in plain language, tighten product descriptions or compare two versions of a policy. Keep reasoning low for routine drafts and raise it when GPT-6.1 Terra has to weigh conflicting instructions.
OpenAI lists GPT-6.1 Terra at half of GPT-6.1 Sol’s rate on every token type — input, output, cache reads and cache writes. reAPI bills GPT-6.1 Terra below OpenAI’s published rate again, from the same balance as every other model. The pricing table on this page shows the live GPT-6.1 Terra numbers.
OpenAI documents the same 1,050,000-token context window, 922,000 maximum input tokens and 128,000 maximum output tokens for GPT-6.1 Terra as for GPT-6.1 Sol. A long contract, a manual or a batch of screenshots can go into one GPT-6.1 Terra request.
GPT-6.1 Terra takes none, low, medium, high, xhigh and max, with medium as the default; GPT-6.1 Sol has no none setting. In our tests on reAPI, GPT-6.1 Terra at none answered a multi-step arithmetic question in 19 tokens and got it wrong, while xhigh reasoned for 80 tokens and got it right. Reasoning tokens bill as output, so pick the lowest level that holds your accuracy.
GPT-6.1 Terra and GPT-6.1 Sol share the same context and output limits. OpenAI tunes GPT-6.1 Terra for fast, efficient visual reasoning and writing, and GPT-6.1 Sol for complex coding and professional work.
Source: OpenAI model documentation, reviewed October 27, 2026. Official specifications do not establish a measured quality difference. Both models are available on reAPI.
Sign in to reAPI and create a key under API keys. The same key reaches GPT-6.1 Terra and every other model on the platform, billed from one balance.
OpenSet the base URL to https://reapi.ai/api/v1 and use the key you just created. Any client that already speaks OpenAI Chat Completions can call GPT-6.1 Terra without an SDK change.
OpenSet the model field to gpt-6.1-terra and post your messages. Start GPT-6.1 Terra at medium reasoning, as OpenAI suggests, and raise it only when the quality gain is worth the extra tokens.
Opencurl https://reapi.ai/api/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-6.1-terra",
"messages": [
{ "role": "user", "content": "Hello" }
],
"reasoning_effort": "medium",
"max_completion_tokens": 16000,
"stream": true
}'Rejected synchronously with the failing field named. Check enum values, ranges, and URL fields — nothing is charged.
401 means a missing or invalid Bearer key; 402 means the reserve exceeds your balance. Manage keys and credits in the console.
Reference material and outputs pass automated moderation. Rejected tasks fail with a clear error and a full refund.
A task that reaches a failed state is never charged — the reserve refunds automatically. Keep the task id and retry when ready.
Common questions about this model.
Pricing
GPT-6.1 Terra pricing from OpenAI's price page: input, output, cache reads and writes, the 272K long-context tier, Batch and Fast, plus worked cost examples.
Comparisons
GPT-6.1 Terra vs 6.1 Sol from OpenAI's docs: positioning, reasoning levels, context, knowledge cutoff and price, plus a pick-by-task table and where Luna fits.
Try it in the playground or grab an API key to integrate now.
