Chat with OpenAI o4-mini

o4-mini is OpenAI's latest specialized reasoning model, optimized for mathematics, coding, and visual reasoning tasks. It introduces groundbreaking 'see-and-think' capabilities for unified reasoning across text and images. o4-mini delivers exceptional performance in mathematical benchmarks like AIME2024 (93.4%) and AIME2025 (92.7%), often outperforming larger models in these domains. According to OpenAI insiders, o4-mini is particularly strong in visual reasoning tasks despite benchmark numbers suggesting otherwise.

o4-mini pricing is set at $1.1/million tokens for input and $4.4/million tokens for output, making it approximately 9 times more cost-effective than o3 and 140 times cheaper than O1-pro. This exceptional value proposition makes advanced AI capabilities accessible to a wider range of users and applications, particularly those with cost constraints.

Whether o3 or o4 mini is better depends on your specific requirements. o3 excels in general reasoning tasks and offers higher performance on benchmarks like MMLU (88.8% vs. 85.2%). However, o4-mini outperforms o3 in mathematical reasoning (AIME benchmarks) and, according to OpenAI insiders, is superior for visual tasks despite benchmark numbers. For specialized technical applications, particularly those involving mathematics or visual reasoning, o4-mini is often the better choice.

o4-mini represents a significant advancement over o1-mini, offering revolutionary capabilities absent in its predecessor. The 'see-and-think' visual reasoning, enhanced mathematical abilities, and autonomous tool usage represent fundamental improvements rather than incremental updates. The o4-mini vs o1-mini comparison shows particular improvements in mathematical reasoning and visual tasks, making o4-mini the clear choice for users upgrading from earlier models.

Yes, o4-mini supports vision capabilities and introduces groundbreaking 'see-and-think' technology for unified reasoning across text and images. According to OpenAI insiders, it is 'actually a considerably better vision model than o3, despite the benchmarks.' This makes o4-mini particularly valuable for tasks involving image understanding and visual reasoning.

Gpt o4-mini and ChatGPT 4o are related but not identical. Both are based on OpenAI’s advanced GPT-4 architecture, but they may differ in terms of size, speed, and specific optimizations. Gpt o4-mini typically refers to a lighter, more efficient version of the GPT-4o model, designed for faster responses and lower resource usage, possibly with a smaller parameter count. In contrast, ChatGPT 4o usually refers to the full-featured model available through OpenAI’s ChatGPT platform, offering the most comprehensive capabilities in reasoning, conversation, and multimodal tasks. The main differences lie in performance, resource requirements, and sometimes access to certain features, but both are built on similar foundational technology.

o4-mini is ideally suited for mathematical calculations, programming tasks, cost-sensitive applications, and visual reasoning tasks. According to user feedback, o4-mini excels in specialized technical domains while potentially requiring web search capabilities to supplement knowledge in other areas. For applications requiring advanced mathematical reasoning, code generation, or visual understanding at an efficient price point, o4-mini represents an optimal choice.