OpenAI O4 Mini, developed by OpenAI, features 200k-token context window. OpenAI o4-mini is a compact reasoning model in the o-series, optimised for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay, often in under a minute. Premium pricing at $1.1/1M tokens reflects its advanced capabilities.
Visit OpenAI: o4 MiniAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Openai Model Timeline
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Specifications
AI Evaluation
A premium coding model delivering professional-grade software engineering assistance. Strong on complex projects, debugging, and code architecture.
Pros
- 200k token context window
- Strong code generation and debugging
- Advanced logical reasoning
- Image and visual analysis
Cons
- Moderate API costs
- May lack creative flair
- Speed/quality trade-off
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