gpt-6-solGPT-6 Sol is the workhorse tier of OpenAI's GPT-6 family, released in September 2026 together with GPT-6 Luna, and on APIMODELS it costs $1.00 per 1M input tokens and $5.00 per 1M output — exactly half OpenAI's $2 / $10 list — with cached input at $0.10. OpenAI's framing is that Sol brings much of GPT-6 Astra's strength into a faster and more affordable model for work at scale; its list price is also half of GPT-5.6 Sol's $4 / $20, and here it is priced below gpt-5.6-sol ($1.324 / $6.618) for the same reason. The specifications match Astra: a 1,050,000-token context window, 128,000 max output, text and image input, and a knowledge cutoff of 20 April 2026. reasoning_effort takes none / low / medium (default) / high / xhigh / max, and reasoning tokens are billed as output; requests whose input exceeds 272K tokens bill input and cached input at 2× and output at 1.5×, the same long-context tier as the rest of the family. Call it through the OpenAI-compatible /v1/chat/completions or /v1/responses with one key — streaming, function calling and JSON output work; failed requests are not charged. The plain alias gpt-6 routes to Sol, as gpt-5.6 routes to GPT-5.6 Sol.
View complete API reference with all parameters and examples.
Enable real-time streaming responses with Server-Sent Events.
{
"model": "gpt-6-sol",
"stream": true,
"messages": [...]
}Enable the model to use tools and call functions.
{
"model": "gpt-6-sol",
"tools": [{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get current weather for a location",
"parameters": {
"type": "object",
"properties": {
"location": {"type": "string", "description": "City name"}
},
"required": ["location"]
}
}
}],
"messages": [{"role": "user", "content": "What's the weather in Tokyo?"}]
}Get structured JSON responses from the model.
{
"model": "gpt-6-sol",
"response_format": {"type": "json_object"},
"messages": [{"role": "user", "content": "Extract info as JSON: John is 30 years old"}]
}| Parameter | Type | Required | Description |
|---|---|---|---|
| model | string | Yes | Model identifier (e.g., gpt-6-sol) |
| messages | array | Yes | Array of message objects with role and content |
| max_tokens | integer | No | Maximum tokens in the response |
| stream | boolean | No | Enable streaming responses (SSE) |
| temperature | number | No | Sampling temperature (0.0 - 2.0) |
| top_p | number | No | Nucleus sampling threshold (0.0 - 1.0) |
| tools | array | No | Function calling tools definition |
| response_format | object | No | Output format (e.g., json_object) |
View complete API reference with streaming, thinking, and more.
Billing: Cost = (input_tokens * input_price + output_tokens * output_price) / 1,000,000
$1.00 / $5.00 per 1M tokens against the $2 / $10 list; cached input $0.10
OpenAI: much of GPT-6 Astra's strength in a faster, more affordable model
Text and image input; knowledge cutoff 20 April 2026; >272K bills input 2× and output 1.5×
Six levels (none / low / medium / high / xhigh / max), default medium; reasoning tokens count as output
GPT-6 Sol is a Large Language Model API provided by OpenAI. GPT-6 Sol is the workhorse tier of OpenAI's GPT-6 family, released in September 2026 together with GPT-6 Luna, and on APIMODELS it costs $1.00 per 1M input tokens and $5.00 per 1M output — exactly half OpenAI's $2 / $10 list — with cached input at $0.10. OpenAI's framing is that Sol brings much of GPT-6 Astra's strength into a faster and more affordable model for work at scale; its list price is also half of GPT-5.6 Sol's $4 / $20, and here it is priced below gpt-5.6-sol ($1.324 / $6.618) for the same reason. The specifications match Astra: a 1,050,000-token context window, 128,000 max output, text and image input, and a knowledge cutoff of 20 April 2026. reasoning_effort takes none / low / medium (default) / high / xhigh / max, and reasoning tokens are billed as output; requests whose input exceeds 272K tokens bill input and cached input at 2× and output at 1.5×, the same long-context tier as the rest of the family. Call it through the OpenAI-compatible /v1/chat/completions or /v1/responses with one key — streaming, function calling and JSON output work; failed requests are not charged. The plain alias gpt-6 routes to Sol, as gpt-5.6 routes to GPT-5.6 Sol. Through APIMODELS platform, you can access this model via a unified API with transparent pay-as-you-go pricing. Current pricing: Input: $1.00, Output: $5.00 per 1M tokens.
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GPT-6 Sol is available through APIMODELS at: Input: $1.00, Output: $5.00 per 1M tokens. Billing is pay-as-you-go — you only pay for what you generate.
Sign up at APIMODELS, get your API key, and call our unified API endpoint. We provide detailed API documentation with code examples in cURL, Python, and Node.js.
APIMODELS offers the same GPT-6 Sol model through our aggregation platform. We provide a unified API interface so you do not need separate accounts for each provider - one API key to access all models.
$1.00 per 1M input tokens, $5.00 per 1M output and $0.10 for cached input — exactly half OpenAI's $2 / $10 / $0.20 list. When a single request's input exceeds 272K tokens, input and cached input bill at 2× and output at 1.5×, matching OpenAI's own long-context tier. Billing is per actual token, reasoning tokens count as output, and failed requests are free.
OpenAI positions GPT-6 Sol as the GPT-6 workhorse: much of Astra's strength in a faster, cheaper model, listed at half of GPT-5.6 Sol's $4 / $20. Here GPT-6 Sol is $1.00 / $5.00, GPT-5.6 Sol is $1.324 / $6.618 and GPT-6 Astra is $2.40 / $12.00 — moving from 5.6 Sol to 6 Sol is a same-tier upgrade with a price cut; keep Astra for the work where it clearly leads, computer use and very long-horizon agents. All three have a 1.05M context and 128K output.
GPT-6 Sol accepts none / low / medium (default) / high / xhigh / max. Reasoning tokens bill at the $5.00 output rate and count against max_tokens — drop to low or none for simple work and output cost falls noticeably; reserve high and above for tasks that need deep reasoning.
POST https://api.apimodels.app/v1/chat/completions or /v1/responses with model gpt-6-sol and Authorization: Bearer your apimodels key; the OpenAI SDK only needs base_url changed. Streaming, function calling, JSON output and image input all work. The bare name gpt-6 routes to Sol, the same convention by which gpt-5.6 points to GPT-5.6 Sol; write gpt-6-astra explicitly when you want Astra.
On APIMODELS, GPT-6 Sol runs alongside 60+ models on one API key and one balance, so choosing is about fit, not lock-in. It supports 50% Below Official, 1.05M Context, Reasoning Effort, Tool Calling, and you can weigh it on price and capability against other Large Language Model models, then switch by changing a single model-name string — no new account or integration. Browse every Large Language Model option with live pricing at apimodels.app/models.
GPT-6 Sol supports: 50% Below Official, 1.05M Context, Reasoning Effort, Tool Calling. See the APIMODELS docs for full parameters and call examples.
Yes. APIMODELS exposes GPT-6 Sol through a single unified API and one key — no separate provider accounts, and no need to handle each provider's regional network access yourself.
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