OpenAI's mid-tier GPT-6 family workhorse — 1,050K-token context, vision, reasoning, tool use and web search, built for complex coding and agentic workflows.
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-sol",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Overview
GPT-6.1 Sol is OpenAI's mid-tier frontier language model from the GPT-6 family, positioned for complex coding and agentic workflows. It combines a 1,050K-token context window with vision, reasoning, function calling, and web search, and on Venice it runs under an anonymized privacy tier that stores no prompts.
On Venice, GPT-6.1 Sol runs under the anonymized privacy tier: your prompts are not stored, profiled, or fed into a training pipeline — a deliberate contrast to the account-tied history Big-Tech assistants build around you. You get the same frontier model with vision, reasoning, tool use, and web search, billed per token with no subscription, and no personal data trail attached to your work.
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-sol",
"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-sol",
"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-sol",
messages=[{"role": "user", "content": "Build without permission."}],
)
print(resp.choices[0].message.content)Specifications
Assessment
Use cases
Prompting
Lower the reasoning effort for simple queries — reasoning tokens are billed as output at $12.50/1M, so easy tasks don't need deep thinking.
Keep your system prompt and few-shot examples stable and up front: cached input on Venice is $0.13/1M, roughly 95% cheaper than uncached.
Attach multiple screenshots in a single request instead of one per turn — multi-image input is supported and keeps context coherent.
For anything after April 2026, explicitly ask it to search the web rather than trusting parametric memory.
When building pipelines, request a JSON schema in the prompt and validate the response — structured output is a first-class capability.
Dump the whole repo or document set into one prompt instead of chunking — at 1,050K tokens, chunking is usually wasted effort.
Alternatives
| Model | Best for | Context | Open weights | Price (Venice) |
|---|---|---|---|---|
| GPT-6.1 Sol | Coding & agentic workflows | 1M tokens | No | $2.50 in · $12.50 out / 1M |
| Claude Sonnet 4.6 | Everyday knowledge work | 1M tokens | No | $3.60 in · $18 out / 1M |
| Gemini 3.8 Flash | Speed & high-volume tasks | 1M tokens | No | $0.94 in · $4.69 out / 1M |
| DeepSeek V4.1 Flash | Budget & self-hosting | 1M tokens | Yes | $0.38 in · $1.50 out / 1M |
| Kimi K3 | Open-weight flagship | 1M tokens | Yes | $3.75 in · $18.75 out / 1M |
GPT-6.1 Sol is the right pick for coding, long-document analysis, and agent loops that need frontier reasoning, vision, and tool use inside a 1M-token window — without flagship pricing. If open weights or the lowest bill matter more than the ceiling, DeepSeek V4.1 Flash is the alternative.
Pricing
Billed per token on Venice: $2.50 per 1M input tokens and $12.50 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-sol as the model and send the request.
FAQ
GPT-6.1 Sol is OpenAI's mid-tier frontier language model from the GPT-6 family, designed for complex coding and agentic workflows. It offers a 1,050K-token context window, 128K-token max output, vision, reasoning, function calling, and web search, and it has been available on Venice since September 2026.
Venice bills GPT-6.1 Sol per token: $2.50 per 1M input tokens, $12.50 per 1M output tokens, and $0.13 per 1M cached input tokens. There is no subscription required — you pay only for what you use.
Neither. GPT-6.1 Sol is a closed, proprietary OpenAI model with no published weights, so it cannot be self-hosted or fine-tuned. It is not free to run — Venice charges per token — though new Venice accounts include free welcome credits you can spend on it. If you need open weights, DeepSeek V4.1 Flash and Kimi K3 on Venice are the closest alternatives.
Yes. GPT-6.1 Sol supports function calling, structured JSON-schema output, and web search, making it suitable for agent loops and automation pipelines. It also accepts image input, including multiple images per request.
1,050K tokens — roughly a million tokens of input context — with up to 128K tokens of output per request. That is enough to hold entire codebases, long legal documents, or multi-book research corpora in a single prompt.
Both are closed mid-tier frontier models with ~1M-token contexts. GPT-6.1 Sol is cheaper on both input and output ($2.50/$12.50 vs $3.60/$18 per 1M) and leans toward coding and agentic work; Claude Sonnet 4.6 is a strong generalist for everyday knowledge work. Choose Sol for cost-sensitive agent loops and long-context coding.
Venice runs GPT-6.1 Sol under its anonymized privacy tier: prompts are not stored, tied to your identity, or used for training. Note that this model does not run in a TEE and the connection is not end-to-end encrypted end-to-end at the model layer — but zero retention of your prompts still applies.
Yes — it ships with OpenAI's standard content policies, and Venice does not offer an uncensored mode for closed proprietary models. If you need uncensored output, Venice hosts open-source models specifically for that; GPT-6.1 Sol is the pick for capability, not permissiveness.
The GPT-6 Sol family was announced by OpenAI on September 22, 2026, and GPT-6.1 Sol has been live on Venice since September 2026. It succeeds GPT-5.6 Sol, whose API pricing it undercut by 50% at the family's launch.
One key, free to start, no credit card.