Quixoa is excited to offer o4-mini, OpenAI's latest small o-series model. It represents a new generation of fast, cost-efficient reasoning, specifically optimized for exceptionally efficient performance in demanding coding and visual tasks.
A New Generation of Efficient Reasoning
o4-mini hits the sweet spot between raw power and production-ready performance. With "Higher" reasoning capabilities and a "Medium" speed profile, it is engineered to handle complex logic without the latency of larger models. It's the ideal choice for applications that need effective, multi-step thinking in real-time.
As the direct successor to GPT-5 mini, it operates on a highly current knowledge base with a cutoff of June 1, 2024, making it a powerful tool for tasks requiring up-to-date information, from code generation to visual data analysis.
Purpose-Built for Modern Development
o4-mini is not just powerful; it's a flexible and developer-friendly model designed for deep customization and seamless integration.
🖼️ Optimized for Coding and Visual Tasks
The model's ability to process both text and image inputs is finely tuned for technical use cases. Feed it screenshots of user interfaces for analysis, diagrams for explanation, or complex codebases for debugging. With its large 200,000 token context window, it can handle extensive inputs for comprehensive understanding.
"The goal with o4-mini was to deliver exceptional performance on technical tasks—like coding and visual analysis—without the cost and latency of a flagship model."
⚙️ Full Customization with Fine-Tuning Support
A key advantage of o4-mini is its full support for Fine-tuning. Unlike other specialized reasoning models, this allows developers to train it on their own proprietary data. This creates a highly customized version of the model that excels at specific, niche tasks, delivering unparalleled performance for your unique business needs.
Technical Specifications at a Glance
Here are the key specifications for OpenAI's o4-mini, a versatile and powerful reasoning engine available on the Quixoa platform.
| Model Name | o4-mini (quixoa-optimized) |
|---|---|
| Developed By | OpenAI |
| Reasoning Level | Higher |
| Context Window | 200,000 Tokens |
| Knowledge Cutoff | June 01, 2024 |
| Pricing (Input / Output) | $1.10 / $4.40 per 1M tokens |
| Key Features | Fine-Tuning Supported, Function Calling, Structured Outputs |