GPT-5 Mini

GPT-5 Mini is a streamlined variant of the GPT-5 family designed to offer fast, efficient multimodal AI capabilities with a significantly lower cost while retaining the core advanced features of GPT-5. It supports text-to-text and image-to-text tasks, making it suitable for a wide range of applications where high throughput and cost efficiency are essential.

Technical Specifications

Performance and Token Capacity

• Supports an extensive input context of up to 400K tokens, enabling processing of large and complex documents similar to the full GPT-5 model.
• Offers efficient performance with faster inference times optimized for high throughput.

API Pricing

• Input tokens: $0.2625 per million tokens
• Output tokens: $2.10 per million tokens
• Cached input tokens: $0.02625 per million tokens

Core Features and Functionalities

• Model Architecture: Shares the core transformer-based architecture with GPT-5, optimized for efficiency and speed to balance performance with operational cost.
• Multimodal Support: Capable of handling both text and vision (image-to-text) tasks via API, enabling multimodal context understanding.
• Scalability: Tailored for applications requiring large context capabilities with moderated computational resources.
• Reasoning Capabilities: Retains improved reasoning and problem-solving features, albeit at a scaled-down level compared to full GPT-5.
• Bias and Safety: Includes foundational alignment and safety features consistent with GPT-5 models to mitigate hallucinations and ensure response reliability.

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Code Sample

Use Cases

• High-volume, cost-sensitive software workflows including code generation and analysis.
• Large-scale document and image analysis for sectors like legal, finance, and healthcare.
• Multimodal content processing and generation where quicker turnaround is needed without full model cost.

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Comparison with Other Models

vs GPT-4.1 Mini: GPT-5 Mini supports a larger 400,000 token context window and enhanced multimodal image-to-text abilities, priced more cost-effectively, whereas GPT-4.1 Mini balances intelligence, speed, and cost but with smaller context and more limited modality support.