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OpenAI: GPT-6.1 Sol Pro (batch)
openai/gpt-6.1-sol-pro:batchTry OpenAI: GPT-6.1 Sol Pro (batch) now
Runs on your balance at the prices above. New accounts start with free usage.
One API. Every model.
Session cost $0.00
Settings
Advanced parameters
OpenAI: GPT-6.1 Sol Pro (batch) at a glance
- Input price is 122% higher than the median of 434 Text models.
- Context window of 1,050,000 tokens, enough for long documents and multi-turn conversations.
- Supports tool (function) calling for agents and integrations.
- Supports structured JSON output with a schema.
- Supports reasoning effort control.
- Accepts images as input (vision).
- A typical request (1,000 input / 500 output tokens) costs about $0.01.
About OpenAI: GPT-6.1 Sol Pro (batch)
GPT-6.1 Sol Pro (batch) is a text model from OpenAI, published under the model id openai/gpt-6.1-sol-pro:batch. It is the same underlying model as GPT-6.1 Sol, but it is served with reasoning.mode set to pro, which is intended to produce higher-quality responses on complex tasks. The provider release date is 2026-09-29.
The model accepts text, image and file inputs, and it returns text. Its context window is 1,050,000 tokens, and the maximum output is 128,000 tokens. Because it is a reasoning-oriented configuration, it also exposes parameters that control how much reasoning work it does and how that reasoning is surfaced, which matters when you are tuning a workload for quality rather than for the smallest possible response.
The combination of a very large context window, image and file inputs, and a pro reasoning mode points to work where the input is long or mixed and the answer needs care. Examples include reviewing large documents or codebases alongside screenshots or diagrams, extracting structured data from long reports, and multi-step analysis where the model has to hold a lot of material in view at once. Structured outputs and tool calling also make it usable as the reasoning step inside an automated pipeline, for instance one that reads files, calls tools, and returns a formatted result.
You call it through api14's OpenAI-compatible API using the model id openai/gpt-6.1-sol-pro:batch. The supported request parameters are include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools and verbosity. If your client already speaks the OpenAI chat completions format, you can point it at api14 and set the model field to this id; the parameters above are the ones the model accepts, so anything outside that list should not be expected to take effect.
One practical consideration is that pro mode spends far more than the standard configuration, so it suits tasks where the extra reasoning quality is worth the additional work. For simpler requests, or where you do not need the pro reasoning mode, the standard GPT-6.1 Sol model may fit better. The batch variant is also a specific serving configuration, so check that it matches how you intend to send requests before building it into a production path.
How to call the OpenAI: GPT-6.1 Sol Pro (batch) API
- Create an API key in your dashboard.
- Install the official openai SDK for your language.
- Set baseURL to https://api14.com/api/v1 and model to "openai/gpt-6.1-sol-pro:batch".
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.chat.completions.create({
"model": "openai/gpt-6.1-sol-pro:batch",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
Supported parameters
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstructured_outputstool_choicetoolsverbositySpecifications
- Context length
- 1,050,000
- Max output
- 128,000
- Input
- file, image, text
- Output
- text
Requests on api14 · last 7 days
OpenAI: GPT-6.1 Sol Pro (batch): frequently asked questions
- How much does the OpenAI: GPT-6.1 Sol Pro (batch) API cost?
- OpenAI: GPT-6.1 Sol Pro (batch) costs Input $3.50 / 1M tokens. It is charged from your USD balance only for successful requests; failed requests are free.
- What is the context window of OpenAI: GPT-6.1 Sol Pro (batch)?
- OpenAI: GPT-6.1 Sol Pro (batch) reads up to 1,050,000 tokens per request: prompt, history and documents together. It writes up to 128,000 output tokens per response.
- What can OpenAI: GPT-6.1 Sol Pro (batch) do?
- OpenAI: GPT-6.1 Sol Pro (batch) accepts file, image, text and returns text. It supports tool calling, structured JSON output, reasoning effort control.
- How do I call OpenAI: GPT-6.1 Sol Pro (batch) from my code?
- Point any OpenAI SDK at https://api14.com/api/v1 and set the model to "openai/gpt-6.1-sol-pro:batch". No other code changes. Copy a ready example from the code panel on this page.
- What are alternatives to OpenAI: GPT-6.1 Sol Pro (batch)?
- Comparable Text models at a similar price: Google: Gemini 4 Argon (batch), OpenAI: GPT-6.1 Sol (batch), Anthropic: Claude Sonnet 5.5 (batch). Each runs through the same API key, so switching is one string.
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