o4-mini

o4-mini is OpenAI's compact reasoning model within the o-series family, positioned as the efficient alternative to larger reasoning models like o3 and o4. As a reasoning-tier model, it applies deliberate thinking processes to problems requiring multi-step analysis, mathematical computation, and logical deduction, while maintaining faster response times than its larger siblings. The model features a 200K token context window and supports text-only interactions through chat completion format. It includes tool calling capabilities and maintains a knowledge cutoff of June 2025. Performance benchmarks show an output rate of 123 tokens per second with a time to first token of approximately 25 seconds, reflecting the deliberate reasoning process that characterizes o-series models. o4-mini serves users who need reasoning capabilities for mathematical problems, coding challenges, and analytical tasks but require more cost-effective deployment than full-scale reasoning models. It bridges the gap between standard language models and heavyweight reasoning systems, making sophisticated problem-solving accessible for higher-volume applications.