Loading page
LightweightOpenAI
GPT-5 mini
GPT-5 mini is OpenAI's lightweight model offering multimodal capabilities with text and image processing in a 200K token context window.
Context 200K
Tier Lightweight
Knowledge Dec 2024
Tools Supported
Modalities text, image
Input from
$0.125 / 1M tokens
across 3 providers
API Pricing
Cheapest on OpenAI — 38% below avg| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $0.125 | $1.00 | $0.013 | |
| $0.125 | $1.00 | $0.013 | |
| $0.250 | $2.00 | $0.025 | |
| $0.250 | $2.00 | $0.025 | |
| $0.250 | $2.00 | $0.025 |
Prices updated daily. Last check: Sep 6, 2026
GPT-5 mini pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Intelligence
24.2 / 100
Math
85.0 / 100
Reasoning & Knowledge
- MMLU-Pro82.8%
- GPQA Diamond80.3%
- Humanity's Last Exam15.9%
Coding
- LiveCodeBench69.2%
Math
- AIME 202585.0%
Agentic & Tool Use
- Terminal-Bench Hard28.8%
- τ²-bench71.1%
Instruction & Long Context
- IFBench71.2%
- Long-Context Reasoning72.3%
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- OpenAI
- Family
- GPT
- Tier
- Lightweight
- Context Window
- 200K
- Knowledge Cutoff
- Dec 2024
- Modalities
- Text, Image
Capabilities
- Tool Calling
- Yes
- Open Source
- No
- Subtypes
- Chat Completion
Strengths & Limitations
Strengths
- 200K token context window enables processing of lengthy documents
- Multimodal capabilities support both text and image inputs
- Tool calling functionality with external API integration
- December 2024 knowledge cutoff provides recent training data
- Lightweight design offers faster inference than flagship GPT-5
- Part of GPT-5 family inheriting latest architectural improvements
- Chat completion format optimized for conversational workflows
Limitations
- Proprietary model with no open-source weights available
- Lightweight tier likely has reduced reasoning capabilities vs flagship GPT-5
- No audio or video modality support beyond text and images
- Performance limitations compared to larger models in the GPT-5 family
- Smaller parameter count may impact complex task performance
Key Features
•200K token context window
•Text and image input processing
•Tool calling with function execution
•Chat completion API format
•Streaming response support
•Multimodal conversation handling
•Structured output capabilities
•Batch processing compatibility
About GPT-5 mini
GPT-5 mini is OpenAI's lightweight tier model in the GPT-5 family, positioned below the flagship GPT-5 for cost-effective deployment scenarios. As part of OpenAI's latest generation, it represents the company's approach to providing capable AI at reduced computational requirements compared to the full GPT-5 model.
The model features a 200,000 token context window and supports both text and image inputs for chat completion tasks. GPT-5 mini includes tool calling capabilities, allowing it to interact with external functions and APIs. With a knowledge cutoff of December 2024, it has access to relatively recent training data compared to many competing models. The multimodal design enables users to process documents, images, and text within the same conversation context.
GPT-5 mini targets use cases where developers need GPT-5 family capabilities but require faster response times or higher throughput than the flagship model provides. It competes with other lightweight models like Claude Haiku and Gemini Flash variants, offering OpenAI's particular approach to reasoning and instruction following in a more efficient package.
Common Use Cases
GPT-5 mini serves applications requiring GPT-5 family capabilities with emphasis on speed and cost efficiency. Its lightweight design makes it suitable for high-volume customer service chatbots, content moderation at scale, and automated document processing where the 200K context window enables handling substantial text volumes. The multimodal capabilities support applications like visual content analysis, document understanding with embedded images, and educational tools that process both text and visual materials. With tool calling support, it can power lightweight AI agents for task automation, API integrations, and workflow orchestration where the full computational power of flagship models is unnecessary.
Frequently Asked Questions
How much does GPT-5 mini cost per million tokens?
GPT-5 mini pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers offering this model.
What is GPT-5 mini best used for?
GPT-5 mini excels at high-volume applications requiring GPT-5 family capabilities with faster response times. Its 200K context window and multimodal support make it ideal for document processing, customer service automation, content moderation, and lightweight AI agents where speed and cost efficiency are priorities over maximum reasoning capability.
How does GPT-5 mini compare to the full GPT-5 model?
GPT-5 mini offers the same 200K context window and multimodal capabilities as GPT-5 but with reduced model parameters for faster inference and lower costs. While it maintains tool calling and chat completion features, it likely has diminished performance on complex reasoning, advanced coding, and sophisticated analysis tasks compared to the flagship GPT-5 model.