GPT-4o mini is a smaller, low-cost OpenAI model designed for high-volume tasks. It supports both text and vision inputs, making it versatile for multimodal applications. With a 128,000-token context window and 16,384-token max output, it balances capacity and affordability.

What is GPT-4o mini's context window?

GPT-4o mini has a context window of 128K ctx.

How much does GPT-4o mini cost?

GPT-4o mini is priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens.

GPT-4o mini by OpenAI: Context, Price & License

GPT-4o mini is OpenAI’s budget-oriented model offering for scenarios where cost efficiency outweighs the need for top-tier performance. It occupies a niche between specialized micro-models and full-scale frontier models, with added vision capabilities uncommon in its class. Teams already using OpenAI’s ecosystem who need to scale up inference volume without linearly increasing costs may find it particularly suitable. The model fits workflows that can accommodate its output length constraints and don’t require open weights. While competitive specs like the 128k context window advantage it over some alternatives, prospective users should evaluate it against task-specific performance requirements not detailed in public specifications.

Use cases

High-throughput text processing (e.g., batch summarization or classification)Multimodal tasks combining text and image inputs (e.g., document analysis with embedded figures)Cost-sensitive applications requiring OpenAI's API compatibilityModerate-length content generation with structured output constraintsPre-filtering or preprocessing for downstream larger models

Pros & cons

Pros

Lower input/output costs compared to larger GPT-4-class models
Large context window relative to typical 'small LLM' category models
Vision support allows multimodal use cases not available in text-only small models