OpenAI's fast, cost-efficient workhorse for visual reasoning, computer use, and high-volume agent tasks — with a 1,050K-token context window.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai-gpt-61-terra",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Overview
GPT-6.1 Terra is OpenAI's efficiency-focused flagship for everyday workloads, released October 26, 2026. It combines detailed visual reasoning, precise computer use, and clear natural writing, with a 1,050K-token context window and API prices 50% lower than GPT-5.6 Terra and GPT-6.1 Sol.
On Venice, GPT-6.1 Terra runs under the anonymized privacy tier — your prompts are not stored, profiled, or used for training, and there is no personal history tied to your usage. That matters for high-volume document and invoice processing, where the last thing you want is a Big-Tech account quietly building a profile of your business. You pay per token, permissionlessly, via the Venice app or the OpenAI-compatible API.
Agent quickstart
The API is OpenAI-compatible: change the base URL and the model id and existing client code works unchanged.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai-gpt-61-terra",
"stream": true,
"messages": [{ "role": "user", "content": "Draft the release note." }]
}'curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai-gpt-61-terra",
"messages": [{ "role": "user", "content": "Find the rate limits." }],
"tools": [{
"type": "function",
"function": {
"name": "search_docs",
"description": "Search the API documentation.",
"parameters": {
"type": "object",
"properties": { "query": { "type": "string" } },
"required": ["query"]
}
}
}],
"tool_choice": "auto"
}'import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["VENICE_API_KEY"],
base_url="https://api.venice.ai/api/v1",
)
resp = client.chat.completions.create(
model="openai-gpt-61-terra",
messages=[{"role": "user", "content": "Build without permission."}],
)
print(resp.choices[0].message.content)Specifications
Assessment
Use cases
Prompting
Set reasoning.effort explicitly: none or low for extraction and classification, medium for everyday work, max only for hard agentic tasks where token spend pays for itself.
Keep prompts under 272K input tokens when possible — beyond that, the entire request bills at 2x input and 1.5x output rates.
Reuse a stable system prompt or document set to hit the $0.05/1M cached-input rate instead of paying full price on every call.
Pass multiple images in one request (catalog photos, drawing sheets, screenshots) rather than splitting into separate calls.
Request a JSON schema in your tool configuration so extraction results come back machine-parseable instead of free text.
For screen-reading agent tasks, describe the UI state precisely in the prompt — Terra's computer-use strength depends on accurate visual context.
Alternatives
| Model | Best for | Context | Open weights | Price (Venice) |
|---|---|---|---|---|
| GPT-6.1 Terra | Visual reasoning & high-volume agent work | 1M tokens | No | $1 in · $5 out / 1M |
| Gemini 3.8 Flash | Fast everyday tasks | 1M tokens | No | $0.94 in · $4.69 out / 1M |
| Qwen 3.7 Plus | Budget long-context processing | 1M tokens | No | $0.50 in · $2 out / 1M |
| Muse Spark Open | Open-weights workhorse | 1M tokens | Yes | $1.56 in · $5.31 out / 1M |
| Kimi K3.1 Pro | Deep reasoning & research | 1M tokens | No | $3 in · $15 out / 1M |
GPT-6.1 Terra is the right pick when you need frontier-adjacent visual reasoning and agentic tool use across huge documents at the lowest sensible per-token cost — and the wrong pick when you need open weights, uncensored outputs, or the absolute ceiling on hard engineering benchmarks.
Pricing
Billed per token on Venice: $1 per 1M input tokens and $5 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Getting a key
Create a key in API settings. Nothing else is required to start.
Export it as VENICE_API_KEY so the snippets above run unedited.
Point an existing OpenAI client at https://api.venice.ai/api/v1. The scheme is part of the value: an OpenAI client given a bare host does not resolve it.
Pass openai-gpt-61-terra as the model and send the request.
FAQ
GPT-6.1 Terra is OpenAI's fast, efficiency-focused large language model, released October 26, 2026. It combines detailed visual reasoning, precise computer use, and natural writing, with a 1,050K-token context window, text and image input, and adjustable reasoning effort from none to max.
On Venice, GPT-6.1 Terra is billed per token: $1 per 1M input tokens, $5 per 1M output tokens, and $0.05 per 1M cached input tokens. Prompts exceeding 272K input tokens are billed at 2x input and 1.5x output rates for the full request.
Neither. GPT-6.1 Terra is a proprietary OpenAI model with no open weights, so it cannot be self-hosted or fine-tuned, and using it is pay-per-token rather than free. If you need open weights at a similar price point, Muse Spark Open on Venice is the closest alternative.
Yes. On Venice, GPT-6.1 Terra supports tool use / function calling, vision with multiple image inputs per request, web search, and structured output via JSON schema. Note that tool calling requires the Responses API per OpenAI's documentation.
Venice runs GPT-6.1 Terra under its anonymized privacy tier: prompts are not stored, profiled, or used for training. This model is not end-to-end encrypted and does not run in a TEE, but no personal usage history is attached to your prompts.
Both cost roughly $1/$5 per 1M tokens with about a million tokens of context. GPT-6.1 Terra is the stronger choice for visual reasoning, computer-use agents, and long document pipelines; Gemini 3.8 Flash targets fast, lightweight everyday turns. For high-volume agentic work, Terra's benchmark positioning makes it the better default.
GPT-6.1 Terra has a 1,050K-token context window with a maximum of 922,000 input tokens and 128,000 output tokens. Its knowledge cutoff is June 1, 2026, so pair it with web search for anything more recent.
Yes — computer use is one of its headline capabilities. OpenAI positions it for acting on application screens, such as filling out forms and moving information between systems, and it scored 15 percentage points higher than GPT-5.6 Terra on the Agents' Last Exam benchmark at medium reasoning effort.
GPT-6.1 Terra was released on October 26, 2026, and is available on Venice the same day, alongside general availability on other platforms such as Amazon Bedrock.
One key, free to start, no credit card.