LLMs

LLMs

GPT-4.1 Nano API

GPT-4.1 Nano is the smallest model in the GPT-4.1 series, optimized specifically for rapid and efficient task execution.

1RPC.ai

Reasoning

Speed

$0.10

/

$0.40

Input/Output

1,000,000

Context Window

GPT-4.1 Nano

GPT-4.1 Nano is OpenAI’s ultra-lightweight and economical variant of the GPT-4.1 family, launched on April 14, 2025. Despite its compact size and minimal latency focus, it supports an unprecedented 1 million token context window and achieves strong benchmark performance, surpassing many larger models in tasks like MMLU and GPQA. It’s designed for scale and speed without compromising reliability, making it perfect for real-time and high-throughput AI workloads.

What it’s optimized for

GPT-4.1 Nano is purpose-built for:

  • Extremely low-latency processing suited to classification, autocompletion, and retrieval

  • Handling very long contexts up to 1,047,576 tokens for deep understanding over expansive data

  • Cost-sensitive deployment scenarios needing the lowest possible token costs

  • Real-time applications with stringent responsiveness constraints

  • Basic multimodal tasks with native text and image input support

Typical use cases

GPT-4.1 Mini is particularly effective in:

  • Fast classification pipelines such as content moderation and intent detection

  • Autocomplete services for code, text, and customer support interactions

  • High-volume querying over large documents or datasets without splitting context

  • Real-time AI agents in chatbots and voice assistants requiring sub-second latency

  • Vision-enabled applications working with embedded image inputs for simple analysis

Key characteristics

  • 1 million context window enables GPT-4.1 Nano to handle entire books, multi-hour transcripts, or expansive codebases in one conversation

  • Supports text and native image input with vision benchmarks surpassing GPT-4o

  • Low latency, best suited for speed-critical tasks

  • Cost-effective pricing at $0.10 per million input tokens and $0.40 per million output tokens

Model architecture

GPT-4.1 Nano is built on a highly optimized transformer architecture that balances speed, efficiency, and scale. It integrates seamlessly via the OpenAI API, supporting streaming, multimodal inputs, and large context windows while maintaining the lightweight footprint enabling rapid inference on multiple platforms and high-demand applications.

Why choose 1RPC.ai for GPT-4.1 Nano

  • Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs

  • Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request

  • Connect to multiple AI providers through a single API

  • Avoid provider lock-in with simple, pay-per-prompt pricing

  • Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity

Summary

GPT-4.1 Nano delivers the fastest and most affordable access to GPT-4.1 capabilities, combining unprecedented context length with low latency and strong baseline performance. It’s an excellent option when you need scalable, real-time AI inference at minimal cost without sacrificing multimodal input support or context comprehension.

A go-to solution for developers and enterprises looking to embed powerful AI services into latency-sensitive and cost-critical environments.

GPT-4.1 Nano

GPT-4.1 Nano is OpenAI’s ultra-lightweight and economical variant of the GPT-4.1 family, launched on April 14, 2025. Despite its compact size and minimal latency focus, it supports an unprecedented 1 million token context window and achieves strong benchmark performance, surpassing many larger models in tasks like MMLU and GPQA. It’s designed for scale and speed without compromising reliability, making it perfect for real-time and high-throughput AI workloads.

What it’s optimized for

GPT-4.1 Nano is purpose-built for:

  • Extremely low-latency processing suited to classification, autocompletion, and retrieval

  • Handling very long contexts up to 1,047,576 tokens for deep understanding over expansive data

  • Cost-sensitive deployment scenarios needing the lowest possible token costs

  • Real-time applications with stringent responsiveness constraints

  • Basic multimodal tasks with native text and image input support

Typical use cases

GPT-4.1 Mini is particularly effective in:

  • Fast classification pipelines such as content moderation and intent detection

  • Autocomplete services for code, text, and customer support interactions

  • High-volume querying over large documents or datasets without splitting context

  • Real-time AI agents in chatbots and voice assistants requiring sub-second latency

  • Vision-enabled applications working with embedded image inputs for simple analysis

Key characteristics

  • 1 million context window enables GPT-4.1 Nano to handle entire books, multi-hour transcripts, or expansive codebases in one conversation

  • Supports text and native image input with vision benchmarks surpassing GPT-4o

  • Low latency, best suited for speed-critical tasks

  • Cost-effective pricing at $0.10 per million input tokens and $0.40 per million output tokens

Model architecture

GPT-4.1 Nano is built on a highly optimized transformer architecture that balances speed, efficiency, and scale. It integrates seamlessly via the OpenAI API, supporting streaming, multimodal inputs, and large context windows while maintaining the lightweight footprint enabling rapid inference on multiple platforms and high-demand applications.

Why choose 1RPC.ai for GPT-4.1 Nano

  • Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs

  • Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request

  • Connect to multiple AI providers through a single API

  • Avoid provider lock-in with simple, pay-per-prompt pricing

  • Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity

Summary

GPT-4.1 Nano delivers the fastest and most affordable access to GPT-4.1 capabilities, combining unprecedented context length with low latency and strong baseline performance. It’s an excellent option when you need scalable, real-time AI inference at minimal cost without sacrificing multimodal input support or context comprehension.

A go-to solution for developers and enterprises looking to embed powerful AI services into latency-sensitive and cost-critical environments.

GPT-4.1 Nano

GPT-4.1 Nano is OpenAI’s ultra-lightweight and economical variant of the GPT-4.1 family, launched on April 14, 2025. Despite its compact size and minimal latency focus, it supports an unprecedented 1 million token context window and achieves strong benchmark performance, surpassing many larger models in tasks like MMLU and GPQA. It’s designed for scale and speed without compromising reliability, making it perfect for real-time and high-throughput AI workloads.

What it’s optimized for

GPT-4.1 Nano is purpose-built for:

  • Extremely low-latency processing suited to classification, autocompletion, and retrieval

  • Handling very long contexts up to 1,047,576 tokens for deep understanding over expansive data

  • Cost-sensitive deployment scenarios needing the lowest possible token costs

  • Real-time applications with stringent responsiveness constraints

  • Basic multimodal tasks with native text and image input support

Typical use cases

GPT-4.1 Mini is particularly effective in:

  • Fast classification pipelines such as content moderation and intent detection

  • Autocomplete services for code, text, and customer support interactions

  • High-volume querying over large documents or datasets without splitting context

  • Real-time AI agents in chatbots and voice assistants requiring sub-second latency

  • Vision-enabled applications working with embedded image inputs for simple analysis

Key characteristics

  • 1 million context window enables GPT-4.1 Nano to handle entire books, multi-hour transcripts, or expansive codebases in one conversation

  • Supports text and native image input with vision benchmarks surpassing GPT-4o

  • Low latency, best suited for speed-critical tasks

  • Cost-effective pricing at $0.10 per million input tokens and $0.40 per million output tokens

Model architecture

GPT-4.1 Nano is built on a highly optimized transformer architecture that balances speed, efficiency, and scale. It integrates seamlessly via the OpenAI API, supporting streaming, multimodal inputs, and large context windows while maintaining the lightweight footprint enabling rapid inference on multiple platforms and high-demand applications.

Why choose 1RPC.ai for GPT-4.1 Nano

  • Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs

  • Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request

  • Connect to multiple AI providers through a single API

  • Avoid provider lock-in with simple, pay-per-prompt pricing

  • Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity

Summary

GPT-4.1 Nano delivers the fastest and most affordable access to GPT-4.1 capabilities, combining unprecedented context length with low latency and strong baseline performance. It’s an excellent option when you need scalable, real-time AI inference at minimal cost without sacrificing multimodal input support or context comprehension.

A go-to solution for developers and enterprises looking to embed powerful AI services into latency-sensitive and cost-critical environments.

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Send your first request to verified LLMs with a single code snippet.

import requests
import json

response = requests.post(
    url="https://1rpc.ai/v1/chat/completions",
    headers={
        "Authorization": "Bearer <1RPC_AI_API_KEY>",
        "Content-type": "application/json",
    },
    data=json.dumps ({
        "model": "gpt-4.1-nano",
        "messages": [
            {
                "role": "user",
                "content": "What is the meaning of life?"
            }
        ]
    })
)

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import requests
import json

response = requests.post(
    url="https://1rpc.ai/v1/chat/completions",
    headers={
        "Authorization": "Bearer <1RPC_AI_API_KEY>",
        "Content-type": "application/json",
    },
    data=json.dumps ({
        "model": "gpt-4.1-nano",
        "messages": [
            {
                "role": "user",
                "content": "What is the meaning of life?"
            }
        ]
    })
)

Copy and go

Copied!

Pricing

Pricing

Estimate Usage Across Any AI Model

Adjust input and output size to estimate token usage and costs.

Token Calculator for GPT-4.1 Nano

Input (100)

100

Output (1000 )

1000

$0.0004

Total cost per million tokens