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OpenAI: GPT-4.1 (batch)

openai/gpt-4.1:batch
TextInput: image · text · fileTools1MAdded Apr 14, 2025

Try OpenAI: GPT-4.1 (batch) now

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Session cost $0.00

OpenAI: GPT-4.1 (batch) at a glance

  • Input price is 122% higher than the median of 434 Text models.
  • Context window of 1,047,576 tokens, enough for long documents and multi-turn conversations.
  • Supports tool (function) calling for agents and integrations.
  • Supports structured JSON output with a schema.
  • Accepts images as input (vision).
  • A typical request (1,000 input / 500 output tokens) costs about $0.01.

About OpenAI: GPT-4.1 (batch)

OpenAI: GPT-4.1 (batch) is a text model from OpenAI. It is the batch variant of GPT-4.1, OpenAI's flagship large language model, which the provider describes as optimized for advanced instruction following, real-world software engineering, and long-context reasoning. The original provider release date was 2025-04-14, and the model's knowledge cutoff is 2024-06-30.

On the input side, the model accepts text, images, and files, and it produces text as output. Its context window is 1,047,576 tokens, which is enough to hold very large documents or long codebases in a single request, and the maximum output is 32,768 tokens. That combination of a roughly one million token input budget and a 32k output ceiling shapes what the model is practical for.

The long context and multimodal input make the model a fit for tasks where the material itself is large: reviewing or reasoning over extensive source code, working through long technical documents, and answering questions that depend on details scattered across many pages. Because it accepts images alongside text, it can also handle requests that mix screenshots or diagrams with written instructions. Its instruction-following focus and support for structured outputs suit extraction and transformation jobs where the response needs to conform to a specific shape.

You call the model through api14's OpenAI-compatible API using the model id "openai/gpt-4.1:batch". The request parameters it supports are max_tokens, response_format, seed, structured_outputs, temperature, tool_choice, tools, and top_p. The presence of tools and tool_choice means you can define functions for the model to call, and seed lets you make sampling more reproducible when you need consistent results across runs.

The "batch" suffix is worth noting when you are choosing a model: this is the batch variant, so if your application needs interactive, low-latency responses, check whether a non-batch variant of GPT-4.1 fits your workload better. Also keep the knowledge cutoff of 2024-06-30 in mind, since the model has no information about events after that date unless you supply it in the prompt or through tools. Within those bounds, the large context window and structured output support cover a wide range of text tasks.

How to call the OpenAI: GPT-4.1 (batch) API

  1. Create an API key in your dashboard.
  2. Install the official openai SDK for your language.
  3. Set baseURL to https://api14.com/api/v1 and model to "openai/gpt-4.1: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-4.1:batch",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

Supported parameters

max_tokensresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_p

Specifications

Context length
1,047,576
Max output
32,768
Input
image, text, file
Output
text
Knowledge cutoff
2024-06-30

Requests on api14 · last 7 days

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OpenAI: GPT-4.1 (batch): frequently asked questions

How much does the OpenAI: GPT-4.1 (batch) API cost?
OpenAI: GPT-4.1 (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-4.1 (batch)?
OpenAI: GPT-4.1 (batch) reads up to 1,047,576 tokens per request: prompt, history and documents together. It writes up to 32,768 output tokens per response.
What can OpenAI: GPT-4.1 (batch) do?
OpenAI: GPT-4.1 (batch) accepts image, text, file and returns text. It supports tool calling, structured JSON output.
How do I call OpenAI: GPT-4.1 (batch) from my code?
Point any OpenAI SDK at https://api14.com/api/v1 and set the model to "openai/gpt-4.1:batch". No other code changes. Copy a ready example from the code panel on this page.
What are alternatives to OpenAI: GPT-4.1 (batch)?
Comparable Text models at a similar price: OpenAI: o3 (batch), Google: Gemini 3.8 Flash, Sakana: Sakana Namazu. Each runs through the same API key, so switching is one string.

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