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OpenAIPixMind route verified · 2026-11-01

Chat with GPT-6.1 Terra

GPT-6.1 Terra turns source text into useful drafts, structured records, and bilingual summaries. Choose it for routine writing and extraction at half the Sol token rate. The current PixMind text route supports streaming, up to 922K input tokens, and up to 12.8K output tokens; chat and API both use 80% of official Standard rates.

everyday writing, structured extraction, and bilingual summaries

Context window
922,000
Maximum output
12,800
Streaming
Supported
GPT-6.1 Terra

Selected model

GPT-6.1 Terra

GPT-6.1 Terra

What this model is built to do

GPT-6.1 Terra turns source text into useful drafts, structured records, and bilingual summaries. Choose it for routine writing and extraction at half the Sol token rate. The current PixMind text route supports streaming, up to 922K input tokens, and up to 12.8K output tokens; chat and API both use 80% of official Standard rates.

What GPT-6.1 Terra can handle

  • Text
  • Reasoning
  • Coding
  • Streaming

Three jobs to try first

When to choose GPT-6.1 Terra

1

Structured professional draft

Create a usable brief, proposal, specification, or report with explicit sections and criteria.

Prompt starter

Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.

2

High-volume extraction

Convert repetitive text or documents into a consistent schema for downstream work.

Prompt starter

Extract [fields] from every item below. Return valid JSON matching this schema: [schema]. Use null for missing values and do not infer unsupported facts.

3

Chinese–English knowledge work

Reason across Chinese and English source material while preserving terminology and output structure.

Prompt starter

Synthesize the Chinese and English material below. Keep named entities and specialist terms consistent, flag translation ambiguity, and return a bilingual decision summary.

Current PixMind route

This PixMind chat route currently accepts text. Use a vision-enabled sibling when the task depends on screenshots or photos.

Model ID
gpt-6.1-terra
Endpoint
/v1/chat/completions
PixMind inputs
Text

Reasoning effort: none, low, medium, high, xhigh, max

Current token pricing

≤272K>272K
Input784~$0.81568~$1.6
Output3920~$45880~$6
Cache read39.2~$0.0478.4~$0.08
Cache write980~$11960~$2

Above 272K input tokens, input, output, and cache all use the >272K tier for the whole request.

Credits and approximate USD per 1M tokens

Choose this model or switch?

Compare the current route with nearby models before spending tokens on a long conversation.

ModelBest forPixMind inputsMax outputInput points / 1M
GPT-6.1 TerraCurrent pageeveryday writing, structured extraction, and bilingual summariesText12,800784
GPT-6.1 Solcomplex coding, code review, and long-document reasoningText12,8001,568
GPT-5.6 Lunahigh-volume text, extraction, and lightweight chatText128,000156.8
GLM-5.3-Flashfree daily image understanding, Chinese-first chat, and tool-assisted tasksText · Image input · Video input128,00067.2

From first question to useful answer

  1. 1Write the task, desired output, and relevant context in the prompt box.
  2. 2Continue in AI Chat with follow-up questions; the selected model stays active.
  3. 3Start a new chat when you want a clean context or switch models at any time.

Facts and sources

Model-family claims come from provider documentation. Inputs, limits, and points follow the PixMind route verification date shown above.

Frequently asked questions

How do I use GPT-6.1 Terra for “Structured professional draft”?

Create a usable brief, proposal, specification, or report with explicit sections and criteria. Start with this template: Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.

How do I use GPT-6.1 Terra for “High-volume extraction”?

Convert repetitive text or documents into a consistent schema for downstream work. Start with this template: Extract [fields] from every item below. Return valid JSON matching this schema: [schema]. Use null for missing values and do not infer unsupported facts.

How do I use GPT-6.1 Terra for “Chinese–English knowledge work”?

Reason across Chinese and English source material while preserving terminology and output structure. Start with this template: Synthesize the Chinese and English material below. Keep named entities and specialist terms consistent, flag translation ambiguity, and return a bilingual decision summary.

What inputs does GPT-6.1 Terra currently support in PixMind?

This PixMind chat route currently accepts text. Use a vision-enabled sibling when the task depends on screenshots or photos. The current catalog flags: text.

How should I prompt GPT-6.1 Terra?

Separate the goal, context, constraints, and output contract. Reserve the highest reasoning effort for tasks where extra latency and cost are justified.

How is GPT-6.1 Terra usage priced?

Current directory pricing is 784 input points and 3920 output points per 1 million tokens.

When should I choose another model over GPT-6.1 Terra?

GPT-6.1 Terra is positioned for everyday writing, structured extraction, and bilingual summaries. Check the comparison table when lower cost, different input support, or a heavier reasoning tier matters more.

What should I do if a GPT-6.1 Terra response stops?

A network interruption, insufficient balance, or temporary model availability can stop a reply. Before resending, check whether token usage and points were already settled.

Start a conversation · GPT-6.1 Terra

Use the prompt box above to send a focused first task, then continue in the full AI Chat workspace.

Start chatting