The Venice page shows GPT-6.1 Terra's compatible API base URL, https://api.venice.ai/api/v1, its model ID, openai-gpt-61-terra, and cURL and Python examples for Chat Completions. The page also gives conflicting information about the tool-calling interface; verify this with Venice before making a call, and do not treat the examples in this article as tested results. The page classifies the model's privacy tier as anonymized and says prompts are not stored or used for profiling or training; it does not provide end-to-end encryption or TEE protection.
Suitable tasks: Configuring the API base URL and model ID for GPT-6.1 Terra on Venice, making requests with an OpenAI SDK-compatible client, and understanding the privacy tier disclosed on the page.
Unsuitable tasks: Confirming that the tool-calling endpoint works based on this information, or treating anonymization as equivalent to end-to-end encryption or TEE isolation.
Applicable model version: GPT-6.1 Terra listed on the Venice page, with model ID openai-gpt-61-terra.
Applicable clients, agents, or APIs: The page provides Chat Completions examples in cURL and the OpenAI Python SDK, and says the API is OpenAI-compatible. The page's conflicting statements about the tool-calling endpoint remain unresolved; see "Limitations."
Recommended reasoning tier and parameters: The source gives no recommendations for configuring reasoning parameters in Venice API requests. The page's Chat Completions tool-calling example uses tool_choice: "auto", but compatibility has not been verified.
The compatible API base URL and model ID listed on the page:
base_url = "https://api.venice.ai/api/v1"
model = "openai-gpt-61-terra"The basic cURL request shown on the page uses the Chat Completions path. This example records the source content; it does not mean this article requested or verified the endpoint:
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." }]
}'The page shows a Python example that sets base_url and then calls client.chat.completions.create:
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)This snippet is a configuration example shown on the Venice page. It does not establish that tool calling through the OpenAI SDK is compatible with this model.
The page's main text, specification table, and FAQ label the model Anonymized. The page says prompts are not stored, used for profiling or training, or linked to personal usage history. The FAQ also explicitly says this model is not end-to-end encrypted and does not run in a TEE. These are service statements on the Venice page, not the conclusions of an independent audit.
Create an API key in Venice API settings and put it in the VENICE_API_KEY environment variable; do not put the key in source code.
Set the OpenAI SDK's base_url to https://api.venice.ai/api/v1 and request model ID openai-gpt-61-terra.
For ordinary text requests, refer to the page's Chat Completions example; this article did not send a request, so verify it in your own Venice account and environment before use.
If you need tool calling, first confirm which API endpoint Venice supports for GPT-6.1 Terra, then configure it based on the answer. The page's own statements about the endpoint conflict, so do not treat the displayed tool-calling example as a ready-to-run configuration.
Before handling sensitive data, assess the scope of the anonymization protection described on the Venice page against your actual business requirements; do not treat it as E2E encryption or TEE protection.
The page's API panel shows https://api.venice.ai/api/v1/chat/completions, model ID openai-gpt-61-terra, and a cURL request with a VENICE_API_KEY Bearer authorization header.
The page's "Agent quickstart" says the API is OpenAI-compatible and provides an OpenAI Python SDK example using client.chat.completions.create; the same area also shows a tool-calling example using /chat/completions, tools, and tool_choice.
In response to whether it supports tool use and vision, the page FAQ says: “tool calling requires the Responses API per OpenAI's documentation.” This conflicts with the Chat Completions tool-calling example shown on the page.
The page's main text says the model has the Anonymized privacy tier on Venice, and that prompts are not stored, used for profiling or training, or linked to personal usage history. The specification table's “PRIVACY ON VENICE” field reads “Anonymized — prompts not stored.”
The page's privacy labels also include “TEE · hardware enclave” and “End-to-end encrypted”; however, both the limitations section and the FAQ say the model does not run in a TEE and is not end-to-end encrypted. The page does not explain how these labels relate to this model's tier.
The page lists OpenAI as the model provider, a context window of 1,050K tokens, and reasoning as Supported; these base model specifications are not the focus of this article.
The page both provides a Chat Completions tool-calling example and says tool calling requires the Responses API. These statements conflict. The page does not say whether the example applies, whether Venice has its own compatibility implementation, or provide request results that could resolve the discrepancy. This article records the issue as an unresolved compatibility conflict and does not describe it as tested or confirmed.
“API compatible with OpenAI” is a generalization on the Venice page; on its own, it does not prove compatibility for every endpoint, parameter, tool, or SDK behavior.
The privacy information comes from Venice's own statements. The page explicitly describes an anonymization tier, and its main text denies that this model uses E2E encryption or TEE; the TEE and end-to-end encryption text in the page's labels conflicts with those statements and requires clarification from Venice.
The page does not specify the technical implementation of anonymization, retention periods, exceptions, or independent audit results; none of these details is specified.
In the Tabbit browser, open the original URL and inspect the API panel's base URL, model ID, cURL and Python SDK snippets. Then check the tool-calling FAQ, privacy text, specification table, limitations, and FAQ. The collection date is 2026-10-27. This article only documents content visible on the page and did not send a request to the Venice API, so it is not an actual test of the interface or privacy mechanisms.
GPT-6.1 Terra