LightweightOpenAI

GPT-4o mini

Name: GPT-4o mini
Availability: InStock
Author: OpenAI

GPT-4o mini is OpenAI's lightweight multimodal model offering text and image processing with a 128K token context window at reduced computational cost.

Context 128K

Tier Lightweight

Knowledge Oct 2023

Tools Supported

Modalities text, image

Input from

$0.150 / 1M tokens

across 2 providers

Compare Prices Model Page →API Docs

API Pricing

Provider	Input / 1M	Output / 1M	Speed	TTFT	Updated
Microsoft Azure	$0.150	$0.600	59.4 t/s	569ms	4/9/2026
OpenRouter	$0.150	$0.600	59.4 t/s	569ms	4/14/2026

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

Model Details

General

Creator: OpenAI
Family: GPT
Tier: Lightweight
Context Window: 128K
Knowledge Cutoff: Oct 2023
Modalities: Text, Image

Capabilities

Tool Calling: Yes
Open Source: No
Subtypes: Chat Completion

Strengths & Limitations

Multimodal support for both text and image inputs
128,000 token context window enables long document processing
Tool calling with structured output capabilities
Fast inference speed at 55.92 tokens per second output
Lower computational cost compared to flagship GPT models
Integration with OpenAI's API ecosystem and tooling
Maintains strong performance despite lightweight positioning

Proprietary model with no open source weights available
Knowledge cutoff of October 2023 is older than some competing models
No video or audio processing capabilities
Reduced capability compared to flagship GPT models in the family
Time to first token of 583ms slower than some competitors

Key Features

•128,000 token context window

•Text and image input processing

•Tool calling with structured JSON output

•Chat completion API

•Streaming response support

•Function calling with parallel execution

•Batch processing capabilities

•Temperature and top-p sampling controls

About GPT-4o mini

GPT-4o mini is OpenAI's lightweight model in the GPT family, positioned as a cost-efficient alternative to the flagship GPT models while maintaining strong performance across text and image tasks. As a tier-two offering, it provides access to OpenAI's multimodal capabilities at a more accessible price point. The model supports both text and image inputs with a 128,000 token context window, enabling processing of lengthy documents and conversations. It includes tool calling functionality and delivers 55.92 output tokens per second with a 583ms time to first token according to benchmark data. The model's knowledge cutoff is October 2023, and it supports chat completion tasks across the same range of languages and domains as other GPT models. GPT-4o mini serves applications requiring multimodal processing where cost efficiency is prioritized over maximum capability. It competes with other lightweight models like Claude Haiku and Gemini Flash, offering OpenAI's approach to balancing performance and computational efficiency for high-volume deployments.

Common Use Cases

GPT-4o mini is designed for applications requiring multimodal processing at scale where cost efficiency is essential. It works well for customer support chatbots that need to handle both text queries and image uploads, content moderation systems processing mixed media, and educational applications requiring document analysis with visual elements. The model suits high-volume deployments like automated content generation, data extraction from documents with charts or diagrams, and API integrations where the full capability of flagship models isn't necessary but multimodal support and reasonable performance are required.

Frequently Asked Questions

How much does GPT-4o mini cost per million tokens?

GPT-4o mini pricing varies by provider and may include different rates for input and output tokens. Check the pricing table above for current rates across all available providers offering this model.

What is GPT-4o mini best used for?

GPT-4o mini excels at cost-efficient multimodal tasks including customer support with image uploads, document analysis combining text and visual elements, content moderation, and high-volume applications where both text and image processing are needed but maximum model capability isn't required.

How does GPT-4o mini compare to other lightweight models like Claude Haiku?

GPT-4o mini offers multimodal capabilities with both text and image inputs, a 128K context window, and 55.92 tokens/second output speed. It provides OpenAI's API ecosystem integration and tool calling features, though specific performance comparisons depend on the particular use case and evaluation criteria.