OpenAI GPT-4.1 Nano

Discover OpenAI GPT-4.1 Nano, a lightning-fast and budget-friendly language model. Ready to experience the power of AI? Start your journey here!

Platform: Replicate

Text GenerationQ&A SystemClassificationLow-Latency AI

6.4k runs

Priced by multiple properties

Commercial

🚀Function Overview

A fast and cost-effective language model optimized for lightweight tasks such as autocomplete, text classification, and Q&A with support for large context windows.

Key Features

Ultra-low latency and fast response times
Lowest cost in the GPT-4.1 lineup
Supports 1 million token context windows
Optimized for short prompts and high-volume usage
Competitive accuracy on benchmarks

Use Cases

•Text classification
•Autocomplete and structured text generation
•Fast Q&A over small or medium context
•Low-latency applications at scale
•Budget-sensitive or high-throughput tasks

⚙️Input Parameters

prompt

string

The prompt to send to the model. Do not use if using messages.

system_prompt

string

System prompt to set the assistant's behavior

image_input

array

List of images to send to the model

temperature

number

Sampling temperature between 0 and 2

max_completion_tokens

integer

Maximum number of completion tokens to generate

top_p

number

Nucleus sampling parameter - the model considers the results of the tokens with top_p probability mass. (0.1 means only the tokens comprising the top 10% probability mass are considered.)

frequency_penalty

number

Frequency penalty parameter - positive values penalize the repetition of tokens.

presence_penalty

number

Presence penalty parameter - positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

💡Usage Examples

Example 1

Input Parameters

{
  "prompt": "What is San Junipero?",
  "temperature": 1,
  "system_prompt": "You are a helpful assistant."
}

Output Results

San Junipero is a fictional town featured in the anthology series *Black Mirror*, specifically in the episode titled "San Junipero." The episode originally aired in 2016 and is one of the most acclaimed installments of the series. In the story, San Junipero is depicted as a picturesque, nostalgic beach town set in California, primarily during the 1980s. It is revealed to be a virtual reality simulation where people can visit temporarily or permanently after death or while still alive. The town serves as a digital paradise, allowing residents to relive past memories, connect with loved ones, and choose to extend their consciousness beyond physical mortality. The episode explores themes of love, memory, mortality, and the ethical dilemmas associated with virtual immortality, making San Junipero a significant and thought-provoking setting within the narrative.

Quick Actions

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Technical Specifications

Hardware Type
Run Count: 6.4k
Commercial Use: Supported
Pricing: Priced by multiple properties
Platform: Replicate

Related Keywords

Ultra-low latencyCost-effectiveText generationText classificationAutocompleteQ&A SystemLarge context windowsHigh-volume usage

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