LightweightOpenAI

GPT-4.1 nano

GPT-4.1 nano is OpenAI's lightweight model in the GPT-4.1 family, offering fast text and image processing with a 1M token context window.

Context 1.0M
Tier Lightweight
Knowledge Jun 2024
Tools Supported
Modalities text, image
Input from
$0.100 / 1M tokens
across 1 provider
Compare PricesModel Page →API Docs

API Pricing

ProviderInput / 1MOutput / 1MSpeedTTFTUpdated
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OpenRouter
$0.100$0.400205 t/s568ms4/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
OpenAI
Family
GPT
Tier
Lightweight
Context Window
1.0M
Knowledge Cutoff
Jun 2024
Modalities
Text, Image

Capabilities

Tool Calling
Yes
Open Source
No
Subtypes
Chat Completion

Strengths & Limitations

  • Fast inference speed at 153.14 output tokens per second
  • Quick response initiation with 431ms time to first token
  • Large 1 million token context window for extensive document processing
  • Multimodal support for both text and image inputs
  • Tool calling functionality for structured interactions
  • Recent knowledge cutoff through June 2024
  • Lightweight design optimized for speed and efficiency
  • Proprietary model with no open-source weights available
  • Lightweight tier may have reduced reasoning capabilities compared to standard GPT-4.1 variants
  • Limited to text and image modalities without audio or video support
  • No streaming response capability listed in specifications

Key Features

•1 million token context window
•Text and image input processing
•Tool calling with structured outputs
•Chat completion interface
•Fast inference at 153.14 tokens/second
•Quick 431ms time to first token
•June 2024 knowledge cutoff
•Lightweight model architecture

About GPT-4.1 nano

GPT-4.1 nano is OpenAI's lightweight tier model within the GPT-4.1 family, designed to balance performance with speed and efficiency. As the most compact offering in the GPT-4.1 series, it sits below the standard and advanced tiers while maintaining core GPT-4.1 capabilities in a more streamlined package. The model supports both text and image inputs with a substantial 1 million token context window, enabling processing of lengthy documents and conversations. It includes tool calling functionality and demonstrates strong speed characteristics with 153.14 output tokens per second and a 431ms time to first token. The model's knowledge training data extends through June 2024. GPT-4.1 nano targets applications requiring rapid response times and high throughput while maintaining multimodal capabilities. Its lightweight design makes it suitable for scenarios where speed and cost efficiency are prioritized over the maximum reasoning capabilities found in higher-tier models in the same family.

Common Use Cases

GPT-4.1 nano is well-suited for applications requiring fast multimodal processing with large context handling. Its speed characteristics make it ideal for real-time chat applications, customer service automation, and high-volume content processing tasks. The 1M token context window enables document analysis, code review, and long-form content generation, while the lightweight design supports scenarios where rapid response times are critical. Organizations needing to process mixed text and image content at scale, such as content moderation, document digitization, or automated customer support with visual elements, can benefit from its balanced performance profile.

Frequently Asked Questions

How much does GPT-4.1 nano cost per million tokens?

GPT-4.1 nano pricing varies by provider and usage type (standard vs batch processing). Check the pricing table above for current rates across all available providers.

What is GPT-4.1 nano best used for?

GPT-4.1 nano excels at high-speed multimodal tasks requiring large context processing. It's optimal for real-time applications, document analysis, customer service automation, and scenarios where fast response times with text and image understanding are needed.

How does GPT-4.1 nano compare to other GPT-4.1 variants?

GPT-4.1 nano prioritizes speed and efficiency over maximum reasoning capability. It offers faster inference (153.14 tokens/second) and quick response times (431ms TTFT) compared to standard GPT-4.1 models, while maintaining the same 1M token context window and multimodal support.