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OpenAI: GPT-5.6 Luna Pro (batch)
openai/gpt-5.6-luna-pro:batchTry OpenAI: GPT-5.6 Luna 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-5.6 Luna Pro (batch) at a glance
- Input price is 78% lower 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 $0.00140.
About OpenAI: GPT-5.6 Luna Pro (batch)
GPT-5.6 Luna Pro (batch) is a text model from OpenAI, identified on api14 as openai/gpt-5.6-luna-pro:batch. It is the same underlying model as GPT-5.6 Luna, but it is served with reasoning.mode set to pro, which is intended to produce higher-quality responses on complex tasks. The batch variant is the version you call through this endpoint. The provider release date is 2026-07-09, and the model's knowledge cutoff is 2026-02-16.
The model accepts text, images and files as input, and it returns text only. Its context window is 1,050,000 tokens, which is large enough to hold very long documents, codebases or multi-file inputs in a single request. The maximum output is 128,000 tokens, so long generations are possible within that context. Because reasoning runs in pro mode, the model spends more compute per request than the standard Luna configuration, which is the tradeoff for the higher-quality answers on hard problems.
Practical use cases follow from those capabilities. Long-context work such as reviewing large documents, analysing whole repositories, or summarising and cross-referencing many files at once fits the 1,050,000 token window. Image and file inputs make it suitable for tasks that mix screenshots, diagrams or attachments with written instructions. The reasoning and tool parameters support agent-style workflows where the model calls tools, and structured outputs and response_format let you constrain replies to a schema for downstream parsing. The seed parameter helps when you want repeatable sampling.
You call it through api14's OpenAI-compatible API using the model id openai/gpt-5.6-luna-pro:batch. The supported request parameters are include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools and verbosity. These cover output length, reasoning control and visibility, response formatting, determinism, and tool use, so most standard chat completion and agent patterns can be expressed without leaving the supported set.
One thing to weigh is that pro mode spends far more compute than the standard Luna configuration, so for simple or high-volume tasks the non-pro GPT-5.6 Luna may be the better fit. The batch variant is also a distinct model id, so requests should target openai/gpt-5.6-luna-pro:batch specifically. Output is text only, so tasks requiring generated images or audio would need a different model.
How to call the OpenAI: GPT-5.6 Luna 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-5.6-luna-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-5.6-luna-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
- Knowledge cutoff
- 2026-02-16
Requests on api14 · last 7 days
OpenAI: GPT-5.6 Luna Pro (batch): frequently asked questions
- How much does the OpenAI: GPT-5.6 Luna Pro (batch) API cost?
- OpenAI: GPT-5.6 Luna Pro (batch) costs Input $0.35 / 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-5.6 Luna Pro (batch)?
- OpenAI: GPT-5.6 Luna 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-5.6 Luna Pro (batch) do?
- OpenAI: GPT-5.6 Luna 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-5.6 Luna Pro (batch) from my code?
- Point any OpenAI SDK at https://api14.com/api/v1 and set the model to "openai/gpt-5.6-luna-pro:batch". No other code changes. Copy a ready example from the code panel on this page.
- What are alternatives to OpenAI: GPT-5.6 Luna Pro (batch)?
- Comparable Text models at a similar price: OpenAI: GPT-5.6 Luna (batch), DeepSeek: DeepSeek V3.2, Tencent: Hunyuan A13B Instruct. Each runs through the same API key, so switching is one string.
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