Compare CameraMath vs. DeepSeekMath vs. Phi-4

This math homework application offers precise, immediate, and comprehensive solutions for math problems at any level. It excels at addressing difficult word problems and tackling the most intricate mathematical inquiries. If you continue to face challenges with your math assignments, you can consult with CameraMath's carefully selected, top-tier math tutors who are available online around the clock. As a leading platform for math problem-solving and learning, CameraMath serves millions of students seeking answers, preparing for exams, and exploring mathematical concepts. The app delivers not only a thorough solution but also a clear explanation for every math query, guiding you through each step in a way that enhances your understanding of how to reach the answer. CameraMath exposes learners to a variety of problem-solving techniques, fostering a deep and adaptable knowledge of mathematics. You can discover multiple methods for resolving even the most daunting math challenges. Word problems often pose a significant obstacle in math homework, and while many math solvers may struggle with them, CameraMath consistently rises to the occasion, ensuring you can tackle every problem with confidence. With its user-friendly interface and expert assistance, CameraMath is designed to empower students in their pursuit of math mastery.

DeepSeekMath is an advanced 7B parameter language model created by DeepSeek-AI, specifically engineered to enhance mathematical reasoning capabilities within open-source language models. Building upon the foundation of DeepSeek-Coder-v1.5, this model undergoes additional pre-training utilizing 120 billion math-related tokens gathered from Common Crawl, complemented by data from natural language and coding sources. It has shown exceptional outcomes, achieving a score of 51.7% on the challenging MATH benchmark without relying on external tools or voting systems, positioning itself as a strong contender against models like Gemini-Ultra and GPT-4. The model's prowess is further bolstered by a carefully curated data selection pipeline and the implementation of Group Relative Policy Optimization (GRPO), which improves both its mathematical reasoning skills and efficiency in memory usage. DeepSeekMath is offered in various formats including base, instruct, and reinforcement learning (RL) versions, catering to both research and commercial interests, and is intended for individuals eager to delve into or leverage sophisticated mathematical problem-solving in the realm of artificial intelligence. Its versatility makes it a valuable resource for researchers and practitioners alike, driving innovation in AI-driven mathematics.

Phi-4 is an advanced small language model (SLM) comprising 14 billion parameters, showcasing exceptional capabilities in intricate reasoning tasks, particularly in mathematics, alongside typical language processing functions. As the newest addition to the Phi family of small language models, Phi-4 illustrates the potential advancements we can achieve while exploring the limits of SLM technology. It is currently accessible on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and is set to be released on Hugging Face in the near future. Due to significant improvements in processes such as the employment of high-quality synthetic datasets and the careful curation of organic data, Phi-4 surpasses both comparable and larger models in mathematical reasoning tasks. This model not only emphasizes the ongoing evolution of language models but also highlights the delicate balance between model size and output quality. As we continue to innovate, Phi-4 stands as a testament to our commitment to pushing the boundaries of what's achievable within the realm of small language models.