OpenAI's high-performance LLM for complex coding and agentic workflows, balancing speed and intelligence with a 1M+ token context.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai-gpt-6-sol",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Overview
GPT-6 Sol is OpenAI's mid-tier large language model released in September 2026, designed for complex coding, reasoning, and agentic workflows. It offers a 1.05M-token context window, vision input, function calling, and web search, priced at $2.50 per 1M input tokens and $12.50 per 1M output tokens on Venice.
On Venice, GPT-6 Sol runs with anonymized privacy—your prompts are never stored or used for training. This means you get the full power of OpenAI’s model while maintaining sovereignty over your inputs. It’s ideal for developers and teams who want uncensored, permissionless access to a high-context, tool-enabled LLM without Big Tech surveillance.
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-6-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-6-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-6-sol",
messages=[{"role": "user", "content": "Build without permission."}],
)
print(resp.choices[0].message.content)Specifications
Assessment
Use cases
Prompting
Use explicit role definitions (e.g., 'Act as a senior Python architect') to improve reasoning quality.
Break down complex tasks into smaller function calls—GPT-6 Sol handles orchestration well.
Include image references directly in prompts when analyzing charts, diagrams, or screenshots.
Leverage web search by asking for up-to-date data—no need to pre-supply context.
Use JSON schema in responses for reliable parsing in downstream applications.
For cost control, design prompts to minimize output length—use 'summarize in one sentence' where possible.
Alternatives
| Model | Best for | Context | Open weights | Price (Venice) |
|---|---|---|---|---|
| GPT-6 Sol | Complex coding & agents | 1M tokens | No | $2.50 in · $12.50 out / 1M |
| Claude Opus 5 | High reasoning depth | 1M tokens | No | $6 in · $30 out / 1M |
| DeepSeek V4.1 Flash | Speed & cost | 1M tokens | Yes | $0.38 in · $1.50 out / 1M |
| Gemini 3.8 Flash | Low-latency queries | 1M tokens | No | $0.94 in · $4.69 out / 1M |
Choose GPT-6 Sol when you need a balance of vision, tool use, and long context for coding or agent workflows—where Claude is too expensive and open models lack multimodal capabilities.
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-6-sol as the model and send the request.
FAQ
GPT-6 Sol is OpenAI's mid-tier large language model released in September 2026, optimized for complex coding, agentic workflows, and multimodal tasks with a 1.05M-token context window, vision input, and function calling.
On Venice, GPT-6 Sol costs $2.50 per 1M input tokens and $12.50 per 1M output tokens. Cached input tokens are priced at $0.25 per 1M, making repeated queries significantly cheaper.
No, GPT-6 Sol is not free or open source. It is a proprietary model owned by OpenAI, so it cannot be self-hosted or fine-tuned. You can access it via API on Venice with pay-per-use pricing.
Yes, GPT-6 Sol supports image input including multiple images in formats like JPEG, PNG, GIF, and WebP, with each image up to 20MB. This enables document analysis, chart interpretation, and visual reasoning.
GPT-6 Sol has a context window of 1,050,000 tokens, allowing it to process extremely long documents, codebases, or conversations in a single session.
GPT-6 Sol is more cost-effective and faster, with vision and tool use, making it better for coding and agent workflows. Claude Opus 5 excels in deep reasoning and instruction following but at nearly 2.5x the price.
Yes, GPT-6 Sol supports tool use and function calling, allowing it to interact with external APIs, databases, and systems as part of automated workflows or agent architectures.
One key, free to start, no credit card.