Alternatives to DeepSeekMath

DeepSeek-Coder-V2 is an open-source model tailored for excellence in programming and mathematical reasoning tasks. Utilizing a Mixture-of-Experts (MoE) architecture, it boasts a staggering 236 billion total parameters, with 21 billion of those being activated per token, which allows for efficient processing and outstanding performance. Trained on a massive dataset comprising 6 trillion tokens, this model enhances its prowess in generating code and tackling mathematical challenges. With the ability to support over 300 programming languages, DeepSeek-Coder-V2 has consistently outperformed its competitors on various benchmarks. It is offered in several variants, including DeepSeek-Coder-V2-Instruct, which is optimized for instruction-based tasks, and DeepSeek-Coder-V2-Base, which is effective for general text generation. Additionally, the lightweight options, such as DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, cater to environments that require less computational power. These variations ensure that developers can select the most suitable model for their specific needs, making DeepSeek-Coder-V2 a versatile tool in the programming landscape.

DeepSeek-R1 is a cutting-edge open-source reasoning model created by DeepSeek, aimed at competing with OpenAI's Model o1. It is readily available through web, app, and API interfaces, showcasing its proficiency in challenging tasks such as mathematics and coding, and achieving impressive results on assessments like the American Invitational Mathematics Examination (AIME) and MATH. Utilizing a mixture of experts (MoE) architecture, this model boasts a remarkable total of 671 billion parameters, with 37 billion parameters activated for each token, which allows for both efficient and precise reasoning abilities. As a part of DeepSeek's dedication to the progression of artificial general intelligence (AGI), the model underscores the importance of open-source innovation in this field. Furthermore, its advanced capabilities may significantly impact how we approach complex problem-solving in various domains.

Phi-4-reasoning-plus is an advanced reasoning model with 14 billion parameters, enhancing the capabilities of the original Phi-4-reasoning. It employs reinforcement learning for better inference efficiency, processing 1.5 times the number of tokens compared to its predecessor, which results in improved accuracy. Remarkably, this model performs better than both OpenAI's o1-mini and DeepSeek-R1 across various benchmarks, including challenging tasks in mathematical reasoning and advanced scientific inquiries. Notably, it even outperforms the larger DeepSeek-R1, which boasts 671 billion parameters, on the prestigious AIME 2025 assessment, a qualifier for the USA Math Olympiad. Furthermore, Phi-4-reasoning-plus is accessible on platforms like Azure AI Foundry and HuggingFace, making it easier for developers and researchers to leverage its capabilities. Its innovative design positions it as a top contender in the realm of reasoning models.

Interactive Mathematics is dedicated to sparking interest and educating individuals about the wonders of mathematics. It achieves this by offering straightforward examples, connecting concepts to real-life situations, and featuring interactive applets that enable users to delve into mathematical ideas. Annually, it assists over 5 million students who access our free lessons to excel in math. Building on that foundation, we have integrated our expertise with AI to launch a complimentary AI math problem solver and tutoring chat platform. This innovation merges a robust mathematical computational engine with advanced artificial intelligence to deliver a cutting-edge math problem solver and calculator. It surpasses ChatGPT in accuracy, outperforms traditional calculators in capability, and provides quicker responses than a human tutor! From complex word problems to algebraic equations and intricate calculus, our AI math problem solver and calculator can tackle it all. Additionally, our solver is adept at interpreting mathematical word problems and discerning the necessary mathematical operations to apply. This multifaceted approach not only enhances learning but also empowers students to develop a deeper understanding of math.

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.

Phi-4-mini-reasoning is a transformer-based language model with 3.8 billion parameters, specifically designed to excel in mathematical reasoning and methodical problem-solving within environments that have limited computational capacity or latency constraints. Its optimization stems from fine-tuning with synthetic data produced by the DeepSeek-R1 model, striking a balance between efficiency and sophisticated reasoning capabilities. With training that encompasses over one million varied math problems, ranging in complexity from middle school to Ph.D. level, Phi-4-mini-reasoning demonstrates superior performance to its base model in generating lengthy sentences across multiple assessments and outshines larger counterparts such as OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. Equipped with a 128K-token context window, it also facilitates function calling, which allows for seamless integration with various external tools and APIs. Moreover, Phi-4-mini-reasoning can be quantized through the Microsoft Olive or Apple MLX Framework, enabling its deployment on a variety of edge devices, including IoT gadgets, laptops, and smartphones. Its design not only enhances user accessibility but also expands the potential for innovative applications in mathematical fields.

Obtain detailed, step-by-step guidance for solving mathematical problems, complete with worked-out examples and definitions of key concepts. You can visualize functions and understand variable relationships by instantly graphing any equation. Additionally, you can create graphs for your math challenges and search for supplementary educational resources, such as worksheets and instructional videos. Math assistance is available in your preferred language, and with Math Solver integrated into Microsoft Edge, you can receive help directly alongside your problems. By scanning photos of your math work, whether written by hand or calculated, Microsoft Math quickly identifies the issues and offers comprehensive solutions through detailed explanations, interactive graphs, and access to similar problems and online lectures. You can also efficiently research related mathematical ideas to enhance your understanding. As you work with Microsoft Mathematics, you will build confidence in your skills and techniques. You can write equations on the screen just like you would on paper, or use a sophisticated scientific math calculator to type and adjust your calculations easily. This seamless integration of tools ensures that you have the resources needed to succeed in your math studies.

Aristotle represents a groundbreaking advancement as the inaugural AI model constructed entirely as a Mathematical Superintelligence (MSI), aimed at providing solutions that are mathematically verified to intricate quantitative challenges without any instances of hallucination. When it receives inquiries in natural language related to mathematics, it translates these into Lean 4 formalism, solves them through rigorously verified proofs, and subsequently delivers both the proof alongside a natural language interpretation. In contrast to traditional language models that depend on probabilistic methods, the MSI framework of Aristotle eliminates uncertainty by employing demonstrable logic and openly identifying any errors or discrepancies. This innovative AI can be accessed via a web interface and developer API, allowing researchers to incorporate its precise reasoning capabilities into various domains, including theoretical physics, engineering, and computer science. Its design not only streamlines problem-solving but also enhances the reliability of results across multiple disciplines.

AI Math Solver is an advanced tool leveraging artificial intelligence to assist users in efficiently tackling and comprehending a variety of mathematical challenges. Its key features include: ● Extensive Math Coverage: The tool encompasses numerous branches of mathematics, such as arithmetic, algebra, geometry, trigonometry, calculus, and statistics, adeptly managing issues ranging from simple to highly complex. ● Image Recognition Capability: Users can capture images of math problems with their mobile devices, and the AI will swiftly identify the problems and deliver comprehensive, step-by-step solutions. ● Diverse Language Options: With support for over 30 languages, including Simplified Chinese, it caters to a global audience with varying language preferences. ● Quick Response Time: Users can obtain precise answers in as little as 10 seconds, accompanied by thorough solution steps to enhance their understanding of the material. ● Educational Materials: The platform provides interactive graphs, engaging video tutorials, and a variety of practice problems to further aid users in their learning journey. ● User-Friendly Interface: Designed with ease of use in mind, the tool ensures that users can navigate seamlessly and access its features without any hassle.

MathGPT.ai is an innovative, AI-enhanced platform for math tutoring and course management that ensures a cheat-proof learning environment by skillfully merging an intelligent course creator with an AI tutor and assignment manager. Educators can easily incorporate existing open educational resources (OER), upload their own textbooks, lecture notes, or various materials, providing students with interactive learning experiences that occur directly within their chosen resources. The platform assists learners in navigating problems through detailed, step-by-step guidance, tailored coaching, and immediate feedback, all aimed at fostering a profound comprehension and boosting confidence. Its unique, deterministic AI model is finely tuned for exceptional accuracy in mathematical reasoning, steering clear of the usual inaccuracies associated with typical language models. Widely embraced in educational settings, the platform also includes live demonstrations that illustrate its problem-solving capabilities and adaptability to different learning preferences, while it actively supports STEM education through curriculum-compliant, endlessly patient instruction. With features designed to engage students and enhance their academic journey, MathGPT.ai stands as a vital tool for both educators and learners.

Phi-4-reasoning is an advanced transformer model featuring 14 billion parameters, specifically tailored for tackling intricate reasoning challenges, including mathematics, programming, algorithm development, and strategic planning. Through a meticulous process of supervised fine-tuning on select "teachable" prompts and reasoning examples created using o3-mini, it excels at generating thorough reasoning sequences that optimize computational resources during inference. By integrating outcome-driven reinforcement learning, Phi-4-reasoning is capable of producing extended reasoning paths. Its performance notably surpasses that of significantly larger open-weight models like DeepSeek-R1-Distill-Llama-70B and nears the capabilities of the comprehensive DeepSeek-R1 model across various reasoning applications. Designed for use in settings with limited computing power or high latency, Phi-4-reasoning is fine-tuned with synthetic data provided by DeepSeek-R1, ensuring it delivers precise and methodical problem-solving. This model's ability to handle complex tasks with efficiency makes it a valuable tool in numerous computational contexts.

DeepSeek-V3.2-Speciale is the most advanced reasoning-focused version of the DeepSeek-V3.2 family, designed to excel in mathematical, algorithmic, and logic-intensive tasks. It incorporates DeepSeek Sparse Attention (DSA), an efficient attention mechanism tailored for very long contexts, enabling scalable reasoning with minimal compute costs. The model undergoes a robust reinforcement learning pipeline that scales post-training compute to frontier levels, enabling performance that exceeds GPT-5 on internal evaluations. Its achievements include gold-medal-level solutions in IMO 2025, IOI 2025, ICPC World Finals, and CMO 2025, with final submissions publicly released for verification. Unlike the standard V3.2 model, the Speciale variant removes tool-calling capabilities to maximize focused reasoning output without external interactions. DeepSeek-V3.2-Speciale uses a revised chat template with explicit thinking blocks and system-level reasoning formatting. The repository includes encoding tools showing how to convert OpenAI-style chat messages into DeepSeek’s specialized input format. With its MIT license and 685B-parameter architecture, DeepSeek-V3.2-Speciale offers cutting-edge performance for academic research, competitive programming, and enterprise-level reasoning applications.

MathGPT is an advanced AI math assistant designed to help students solve problems in subjects like algebra, geometry, calculus, and statistics. Users can upload images or PDFs of math questions, and the platform provides detailed, step-by-step solutions to enhance understanding and learning. Acting as a virtual math tutor, MathGPT simplifies complex concepts and helps students build confidence in their abilities. With over 2 million users, it is a free, reliable, and user-friendly resource for improving math skills and tackling challenging problems.

DeepSeek R2 is the highly awaited successor to DeepSeek R1, an innovative AI reasoning model that made waves when it was introduced in January 2025 by the Chinese startup DeepSeek. This new version builds on the remarkable achievements of R1, which significantly altered the AI landscape by providing cost-effective performance comparable to leading models like OpenAI’s o1. R2 is set to offer a substantial upgrade in capabilities, promising impressive speed and reasoning abilities akin to that of a human, particularly in challenging areas such as complex coding and advanced mathematics. By utilizing DeepSeek’s cutting-edge Mixture-of-Experts architecture along with optimized training techniques, R2 is designed to surpass the performance of its predecessor while keeping computational demands low. Additionally, there are expectations that this model may broaden its reasoning skills to accommodate languages beyond just English, potentially increasing its global usability. The anticipation surrounding R2 highlights the ongoing evolution of AI technology and its implications for various industries.

NerdPal is an innovative math solver that enables users to either snap a photo or manually input a math problem to receive immediate answers accompanied by detailed, step-by-step guidance on the solution process. This AI-driven math tutor is designed to assist students in comprehending various mathematical concepts, offering explanations that clarify how to tackle problems ranging from basic arithmetic to advanced calculus. Users can choose their preferred method for solving problems, whether through image capture or a specialized math keyboard, ensuring a flexible experience tailored to individual needs. Additionally, the app allows for the tracking of previously solved problems, the creation of personal user accounts, and the submission of feedback directly within the platform. Recognizing the challenges many face with mathematics, NerdPal aims to provide essential support and tools to make learning more accessible and efficient. By utilizing NerdPal, students can significantly reduce the time spent grappling with complex concepts, as it also offers access to instructional videos that enhance understanding. With its user-friendly features and comprehensive assistance, NerdPal transforms the often tedious process of studying math into a more engaging and effective experience.

Discover the power of Math AI, an innovative Chrome extension tailored to streamline your homework experience by unlocking the picture math solver for all your mathematical inquiries. Whether you are tackling fundamental arithmetic, algebra, linear algebra, or physics, this extension is designed to simplify your understanding of equations and concepts efficiently. Key Features and Benefits: ● Picture Math Solver: Capture a photo of your math problem with Math AI, allowing you to solve it quickly and effortlessly. ● Education Modes: Select from various modes to receive customized help—detailed explanations for intricate problems, instant solutions for straightforward ones, or an engaging AI tutor for a more personalized learning experience. ● Broader Subject Support: Beyond mathematics, this tool extends its utility to subjects like physics, chemistry, biology, and many other academic tasks, making it a versatile study companion. ● 21 Language Options: With support for 21 different languages, Math AI is accessible to users around the globe, ensuring that everyone can benefit from its features. ● Convenience at Your Fingertips: This extension not only enhances your learning but also saves you valuable time, allowing you to focus on mastering the material.

Maple Calculator is a robust and free math-solving application that provides users with answers, detailed 2D and 3D visualizations, and comprehensive step-by-step solutions! Whether tackling basic arithmetic or advanced university-level mathematics, Maple Calculator is equipped to handle it all. You can conveniently enter handwritten or typeset math problems using advanced AI technology that captures them with just a click of your camera. Alternatively, you can input your expressions using the same mathematical notations that your instructor employs, making the entry process intuitive and straightforward. Regardless of how you choose to input your problem, the app allows you to compute integrals, factor polynomials, invert matrices, and resolve systems of equations, among other tasks. Powered by the leading Maple math engine, it boasts exceptional computational capabilities. Additionally, alongside the solutions, you receive detailed, step-by-step explanations for a broad range of mathematical inquiries, including the solving of systems of equations and the calculation of limits, derivatives, and integrals, ensuring a thorough understanding of the concepts. The app not only helps you find answers but also enhances your overall learning experience in mathematics.

Mathematics can often pose challenges, which is why we offer our assistance. SnapXam serves as an AI-driven math tutor designed to aid you in grasping solutions to a wide range of problems, from basic arithmetic to advanced calculus. You can save precious time mastering mathematical concepts and accessing instructional videos. With SnapXam, the days of endlessly studying without clarity are behind you. It empowers you to tackle problems more effectively and in significantly less time. Think of SnapXam as a portable library filled with countless solved examples that you can carry with you wherever you go. Embrace the future of learning and transform your approach to math.

The QwQ-32B model, created by Alibaba Cloud's Qwen team, represents a significant advancement in AI reasoning, aimed at improving problem-solving skills. Boasting 32 billion parameters, it rivals leading models such as DeepSeek's R1, which contains 671 billion parameters. This remarkable efficiency stems from its optimized use of parameters, enabling QwQ-32B to tackle complex tasks like mathematical reasoning, programming, and other problem-solving scenarios while consuming fewer resources. It can handle a context length of up to 32,000 tokens, making it adept at managing large volumes of input data. Notably, QwQ-32B is available through Alibaba's Qwen Chat service and is released under the Apache 2.0 license, which fosters collaboration and innovation among AI developers. With its cutting-edge features, QwQ-32B is poised to make a substantial impact in the field of artificial intelligence.

DeepSeek-V2 is a cutting-edge Mixture-of-Experts (MoE) language model developed by DeepSeek-AI, noted for its cost-effective training and high-efficiency inference features. It boasts an impressive total of 236 billion parameters, with only 21 billion active for each token, and is capable of handling a context length of up to 128K tokens. The model utilizes advanced architectures such as Multi-head Latent Attention (MLA) to optimize inference by minimizing the Key-Value (KV) cache and DeepSeekMoE to enable economical training through sparse computations. Compared to its predecessor, DeepSeek 67B, this model shows remarkable improvements, achieving a 42.5% reduction in training expenses, a 93.3% decrease in KV cache size, and a 5.76-fold increase in generation throughput. Trained on an extensive corpus of 8.1 trillion tokens, DeepSeek-V2 demonstrates exceptional capabilities in language comprehension, programming, and reasoning tasks, positioning it as one of the leading open-source models available today. Its innovative approach not only elevates its performance but also sets new benchmarks within the field of artificial intelligence.

Upstage has unveiled Solar Pro 2, a cutting-edge large language model designed for frontier-scale applications, capable of managing intricate tasks and workflows in various sectors including finance, healthcare, and law. This model is built on a streamlined architecture with 31 billion parameters, ensuring exceptional multilingual capabilities, particularly in Korean, where it surpasses even larger models on key benchmarks such as Ko-MMLU, Hae-Rae, and Ko-IFEval, while maintaining strong performance in English and Japanese as well. In addition to its advanced language comprehension and generation abilities, Solar Pro 2 incorporates a sophisticated Reasoning Mode that significantly enhances the accuracy of multi-step tasks across a wide array of challenges, from general reasoning assessments (MMLU, MMLU-Pro, HumanEval) to intricate mathematics problems (Math500, AIME) and software engineering tasks (SWE-Bench Agentless), achieving problem-solving efficiency that rivals or even surpasses that of models with double the parameters. Furthermore, its enhanced tool-use capabilities allow the model to effectively engage with external APIs and data, broadening its applicability in real-world scenarios. This innovative design not only demonstrates exceptional versatility but also positions Solar Pro 2 as a formidable player in the evolving landscape of AI technologies.

EXAONE Deep represents a collection of advanced language models that are enhanced for reasoning, created by LG AI Research, and come in sizes of 2.4 billion, 7.8 billion, and 32 billion parameters. These models excel in a variety of reasoning challenges, particularly in areas such as mathematics and coding assessments. Significantly, the EXAONE Deep 2.4B model outshines other models of its size, while the 7.8B variant outperforms both open-weight models of similar dimensions and the proprietary reasoning model known as OpenAI o1-mini. Furthermore, the EXAONE Deep 32B model competes effectively with top-tier open-weight models in the field. The accompanying repository offers extensive documentation that includes performance assessments, quick-start guides for leveraging EXAONE Deep models with the Transformers library, detailed explanations of quantized EXAONE Deep weights formatted in AWQ and GGUF, as well as guidance on how to run these models locally through platforms like llama.cpp and Ollama. Additionally, this resource serves to enhance user understanding and accessibility to the capabilities of EXAONE Deep models.

K2 Think represents a groundbreaking open-source advanced reasoning model that has been developed in collaboration between the Institute of Foundation Models at MBZUAI and G42. Even with its relatively modest 32 billion parameters, K2 Think achieves performance that rivals that of leading models with significantly larger parameter counts. Its strength lies in mathematical reasoning, where it has secured top rankings on prestigious benchmarks such as AIME ’24/’25, HMMT ’25, and OMNI-Math-HARD. This model is part of a wider initiative of UAE-developed open models, which includes Jais (for Arabic), NANDA (for Hindi), and SHERKALA (for Kazakh), and it builds upon the groundwork established by the K2-65B, a fully reproducible open-source foundation model released in 2024. K2 Think is crafted to be open, efficient, and adaptable, featuring a web app interface that facilitates user exploration, and its innovative approach to parameter positioning marks a significant advancement in the realm of compact architectures for high-level AI reasoning. Additionally, its development highlights a commitment to enhancing access to state-of-the-art AI technologies in various languages and domains.

DeepSeek-V3.2 is a highly optimized large language model engineered to balance top-tier reasoning performance with significant computational efficiency. It builds on DeepSeek's innovations by introducing DeepSeek Sparse Attention (DSA), a custom attention algorithm that reduces complexity and excels in long-context environments. The model is trained using a sophisticated reinforcement learning approach that scales post-training compute, enabling it to perform on par with GPT-5 and match the reasoning skill of Gemini-3.0-Pro. Its Speciale variant overachieves in demanding reasoning benchmarks and does not include tool-calling capabilities, making it ideal for deep problem-solving tasks. DeepSeek-V3.2 is also trained using an agentic synthesis pipeline that creates high-quality, multi-step interactive data to improve decision-making, compliance, and tool-integration skills. It introduces a new chat template design featuring explicit thinking sections, improved tool-calling syntax, and a dedicated developer role used strictly for search-agent workflows. Users can encode messages using provided Python utilities that convert OpenAI-style chat messages into the expected DeepSeek format. Fully open-source under the MIT license, DeepSeek-V3.2 is a flexible, cutting-edge model for researchers, developers, and enterprise AI teams.

Grok 3 DeepSearch represents a sophisticated research agent and model aimed at enhancing the reasoning and problem-solving skills of artificial intelligence, emphasizing deep search methodologies and iterative reasoning processes. In contrast to conventional models that depend primarily on pre-existing knowledge, Grok 3 DeepSearch is equipped to navigate various pathways, evaluate hypotheses, and rectify inaccuracies in real-time, drawing from extensive datasets while engaging in logical, chain-of-thought reasoning. Its design is particularly suited for tasks necessitating critical analysis, including challenging mathematical equations, programming obstacles, and detailed academic explorations. As a state-of-the-art AI instrument, Grok 3 DeepSearch excels in delivering precise and comprehensive solutions through its distinctive deep search functionalities, rendering it valuable across both scientific and artistic disciplines. This innovative tool not only streamlines problem-solving but also fosters a deeper understanding of complex concepts.

QwQ-Max-Preview is a cutting-edge AI model based on the Qwen2.5-Max framework, specifically engineered to excel in areas such as complex reasoning, mathematical problem-solving, programming, and agent tasks. This preview showcases its enhanced capabilities across a variety of general-domain applications while demonstrating proficiency in managing intricate workflows. Anticipated to be officially released as open-source software under the Apache 2.0 license, QwQ-Max-Preview promises significant improvements and upgrades in its final iteration. Additionally, it contributes to the development of a more inclusive AI environment, as evidenced by the forthcoming introduction of the Qwen Chat application and streamlined model versions like QwQ-32B, which cater to developers interested in local deployment solutions. This initiative not only broadens accessibility but also encourages innovation within the AI community.

Utilize our advanced AI math solver to effortlessly tackle any math assignment online at no cost. If you're finding your math homework challenging, HIX Tutor's AI Math Solver is here to help by breaking down complex problems into simpler components. With a simple click, you can receive prompt and precise solutions thanks to our cutting-edge math AI technology. This versatile tool caters to students at all levels, from fundamental arithmetic to advanced university courses and beyond. You will also receive comprehensive explanations for each step, enhancing your grasp of the concepts involved in your math tasks. Our AI math solver is available 24/7, ensuring that you can rely on it whenever you need assistance to meet your homework deadlines. By using our free math AI tool, you can solve problems quickly and reduce the need for expensive tutoring services. We pride ourselves on providing the most recent advancements in AI technology, guaranteeing accurate solutions across various mathematical disciplines, including algebra, geometry, and calculus. Our AI math solvers are designed to make the learning process more accessible and effective by offering thorough, step-by-step elucidations along with the answers you seek. So, whether you're studying for an exam or just trying to understand a tricky concept, our AI math solver is the perfect companion for your educational journey.

In honor of Archimedes, whose 2311th anniversary we celebrate this year, we are excited to introduce our inaugural Mathstral model, a specialized 7B architecture tailored for mathematical reasoning and scientific exploration. This model features a 32k context window and is released under the Apache 2.0 license. Our intention behind contributing Mathstral to the scientific community is to enhance the pursuit of solving advanced mathematical challenges that necessitate intricate, multi-step logical reasoning. The launch of Mathstral is part of our wider initiative to support academic endeavors, developed in conjunction with Project Numina. Much like Isaac Newton during his era, Mathstral builds upon the foundation laid by Mistral 7B, focusing on STEM disciplines. It demonstrates top-tier reasoning capabilities within its category, achieving remarkable results on various industry-standard benchmarks. Notably, it scores 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, showcasing the performance differences by subject between Mathstral 7B and its predecessor, Mistral 7B, further emphasizing the advancements made in mathematical modeling. This initiative aims to foster innovation and collaboration within the mathematical community.

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.

Mathway equips learners with essential resources to tackle and comprehend their mathematical challenges effectively. Serving millions of users and having resolved billions of problems, it stands out as the leading problem-solving tool for students, educators, and parents alike. The overarching mission of Mathway is to provide high-quality, on-demand math help to every student. This initiative is a forward-thinking project that promises to expand its features and capabilities continuously in the years ahead. Recognized as the most advanced math calculator globally, Mathway caters to various topics, including algebra, graphing, and calculus. Users can gain limitless access to solutions that clarify intricate ideas through this innovative platform. By simply snapping a photo of a math question or typing it in, students receive detailed, step-by-step guidance. Furthermore, it's important to note that the subscription will automatically renew unless the auto-renew option is disabled at least 24 hours prior to the conclusion of the current billing cycle. With its commitment to enhancing the learning experience, Mathway truly transforms how students engage with mathematics.

Receive comprehensive solutions to mathematical word problems by following detailed, step-by-step processes. Additionally, you can plot and analyze various functions and equations in a methodical manner. Geometry enthusiasts can also engage with problems and proofs while creating geometric figures. To enhance your mathematical abilities, interactive personalized exercises and quizzes are available, allowing for continuous practice. You can monitor your advancement through thorough performance reports and analytics, making it easier to identify areas for improvement. Symbolab serves as a sophisticated math calculator and problem-solving tool designed to assist users effectively. With its photo math scanner, you can easily obtain solutions and assistance with your math assignments, ensuring you grasp the concepts behind each problem through clear explanations. Carrying a private math tutor in your pocket has never been simpler, as Symbolab is a trusted resource for over 200 million students who tackle more than a billion math problems. By utilizing the photo scanner feature, you can learn how to solve equations, integrals, derivatives, trigonometric identities, geometric challenges, calculus-related questions, and limits, among many other mathematical topics. This makes Symbolab not just a tool, but an essential companion for anyone looking to enhance their math skills and knowledge.

DeepSeek Coder is an innovative software solution poised to transform the realm of data analysis and programming. By harnessing state-of-the-art machine learning techniques and natural language processing, it allows users to effortlessly incorporate data querying, analysis, and visualization into their daily tasks. The user-friendly interface caters to both beginners and seasoned developers, making the writing, testing, and optimization of code a straightforward process. Among its impressive features are real-time syntax validation, smart code suggestions, and thorough debugging capabilities, all aimed at enhancing productivity in coding. Furthermore, DeepSeek Coder’s proficiency in deciphering intricate data sets enables users to extract valuable insights and develop advanced data-centric applications with confidence. Ultimately, its combination of powerful tools and ease of use positions DeepSeek Coder as an essential asset for anyone engaged in data-driven projects.

Nova 2 Pro represents the pinnacle of Amazon’s Nova family, offering unmatched reasoning depth for enterprises that depend on advanced AI to solve demanding operational challenges. It supports multimodal inputs including video, audio, and long-form text, allowing it to synthesize diverse information sources and deliver expert-grade insights. Its performance leadership spans complex instruction following, high-stakes decision tasks, agentic workflows, and software engineering use cases. Benchmark testing shows Nova 2 Pro outperforms or matches the latest Claude, GPT, and Gemini models across numerous intelligence and reasoning categories. Equipped with built-in web search and executable code capability, it produces grounded, verifiable responses ideal for enterprise reliability. Organizations also use Nova 2 Pro as a foundation for training smaller, faster models through distillation, making it adaptable for custom deployments. Its multimodal strengths support use cases like video comprehension, multi-document Q&A, and sophisticated data interpretation. Nova 2 Pro ultimately empowers teams to operate with higher accuracy, faster iteration cycles, and safer automation across critical workflows.

We have created a comprehensive solution that fully integrates the ThinkUp! Standards Mastery System into the digital landscape, seamlessly incorporating the 9 Traits of Critical Thinking™ into all facets of education. This innovative approach empowers educators with tools that foster a school-wide culture of critical thought while enhancing student interaction with content aligned to the CCSS. The ThinkUp! Math and ELA programs aim to cultivate students capable of analyzing and interpreting information at more profound levels, making thoughtful decisions, tackling intricate challenges, and deriving effective solutions, which leads to a thorough understanding of concepts and better academic outcomes. ThinkUp! Math specifically provides students with ongoing chances to engage in critical thinking, apply mathematical reasoning and problem-solving techniques, and immerse themselves in learning experiences that prioritize both the methods used and the final answers achieved. Moreover, this system encourages students to develop a mindset geared towards continuous improvement and adaptive learning, which is essential for their future success.

GigaChat 3 Ultra redefines open-source scale by delivering a 702B-parameter frontier model purpose-built for Russian and multilingual understanding. Designed with a modern MoE architecture, it achieves the reasoning strength of giant dense models while using only a fraction of active parameters per generation step. Its massive 14T-token training corpus includes natural human text, curated multilingual sources, extensive STEM materials, and billions of high-quality synthetic examples crafted to boost logic, math, and programming skills. This model is not a derivative or retrained foreign LLM—it is a ground-up build engineered to capture cultural nuance, linguistic accuracy, and reliable long-context performance. GigaChat 3 Ultra integrates seamlessly with open-source tooling like vLLM, sglang, DeepSeek-class architectures, and HuggingFace-based training stacks. It supports advanced capabilities including a code interpreter, improved chat template, memory system, contextual search reformulation, and 128K context windows. Benchmarking shows clear improvements over previous GigaChat generations and competitive results against global leaders in coding, reasoning, and cross-domain tasks. Overall, GigaChat 3 Ultra empowers teams to explore frontier-scale AI without sacrificing transparency, customizability, or ecosystem compatibility.

The overwhelming amount of information available poses a significant challenge to advancements in science. With the rapid expansion of scientific literature and data, pinpointing valuable insights within this vast sea of information has become increasingly difficult. Nowadays, people rely on search engines to access scientific knowledge, yet these tools alone cannot effectively categorize and organize this complex information. Galactica is an advanced language model designed to capture, synthesize, and analyze scientific knowledge. It is trained on a diverse array of scientific materials, including research papers, reference texts, knowledge databases, and other relevant resources. In various scientific tasks, Galactica demonstrates superior performance compared to existing models. For instance, on technical knowledge assessments involving LaTeX equations, Galactica achieves a score of 68.2%, significantly higher than the 49.0% of the latest GPT-3 model. Furthermore, Galactica excels in reasoning tasks, outperforming Chinchilla in mathematical MMLU with scores of 41.3% to 35.7%, and surpassing PaLM 540B in MATH with a notable 20.4% compared to 8.8%. This indicates that Galactica not only enhances accessibility to scientific information but also improves our ability to reason through complex scientific queries.

The o3-mini-high model developed by OpenAI enhances artificial intelligence reasoning capabilities by improving deep problem-solving skills in areas such as programming, mathematics, and intricate tasks. This model incorporates adaptive thinking time and allows users to select from various reasoning modes—low, medium, and high—to tailor performance to the difficulty of the task at hand. Impressively, it surpasses the o1 series by an impressive 200 Elo points on Codeforces, providing exceptional efficiency at a reduced cost while ensuring both speed and precision in its operations. As a notable member of the o3 family, this model not only expands the frontiers of AI problem-solving but also remains user-friendly, offering a complimentary tier alongside increased limits for Plus subscribers, thereby making advanced AI more widely accessible. Its innovative design positions it as a significant tool for users looking to tackle challenging problems with enhanced support and adaptability.

Qwen2.5-VL-32B represents an advanced AI model specifically crafted for multimodal endeavors, showcasing exceptional skills in reasoning related to both text and images. This iteration enhances the previous Qwen2.5-VL series, resulting in responses that are not only of higher quality but also more aligned with human-like formatting. The model demonstrates remarkable proficiency in mathematical reasoning, nuanced image comprehension, and intricate multi-step reasoning challenges, such as those encountered in benchmarks like MathVista and MMMU. Its performance has been validated through comparisons with competing models, often surpassing even the larger Qwen2-VL-72B in specific tasks. Furthermore, with its refined capabilities in image analysis and visual logic deduction, Qwen2.5-VL-32B offers thorough and precise evaluations of visual content, enabling it to generate insightful responses from complex visual stimuli. This model has been meticulously optimized for both textual and visual tasks, making it exceptionally well-suited for scenarios that demand advanced reasoning and understanding across various forms of media, thus expanding its potential applications even further.

Our innovative AI technology is designed to automatically identify photo-scanned math problems and assist you with your homework. AIR MATH utilizes our cutting-edge AI-Ed platform to analyze every submitted math issue, delivering prompt solutions for your assignments. This robust system can handle a wide range of queries, from basic calculations to complex word problems. Whether you're tackling school assignments, preparing for exams, or engaging in everyday studies, AIR MATH is here to support you. Additionally, the service offers a 24/7 live chat feature, connecting you with expert tutors who can provide detailed, personalized guidance on your math challenges. Not only can AIR MATH recognize standard equations across various subjects, but it is also adept at comprehending and breaking down word problems, offering multiple step-by-step solution options for your convenience. With this level of support, mastering math concepts becomes a much more manageable task.

iCalc stands out as the top choice for a calculator and math problem solver! With iCalc, you can do more than just perform calculations; you can also engage in practice, enhance your learning, and deepen your understanding of mathematics. By scanning math problems, users can receive detailed step-by-step solutions to even the most challenging questions. Furthermore, you can interact with iCalc's integrated AI, Math Bot, to inquire about a wide range of subjects, from math to science and beyond, ensuring comprehensive answers to your queries. The versatility of iCalc makes it an essential tool for students and anyone looking to improve their mathematical skills.

Qwen3 is a state-of-the-art large language model designed to revolutionize the way we interact with AI. Featuring both thinking and non-thinking modes, Qwen3 allows users to customize its response style, ensuring optimal performance for both complex reasoning tasks and quick inquiries. With the ability to support 119 languages, the model is suitable for international projects. The model's hybrid training approach, which involves over 36 trillion tokens, ensures accuracy across a variety of disciplines, from coding to STEM problems. Its integration with platforms such as Hugging Face, ModelScope, and Kaggle allows for easy adoption in both research and production environments. By enhancing multilingual support and incorporating advanced AI techniques, Qwen3 is designed to push the boundaries of AI-driven applications.

Mathos AI, also known as MathGPTPro, stands out as a premier AI math solver, calculator, and tutor. This advanced platform offers an AI-driven approach to math and science education, assisting students in tackling intricate problems with detailed, step-by-step guidance. With the capability to accept inputs via photo, voice, text, and PDF, it ensures that learning is convenient and accessible at any moment. MathGPT Pro spans a variety of fields, from algebra and calculus to physics and chemistry, boasting an impressive accuracy rate that surpasses top competitors like Photomath and Mathway by as much as 17%. Its intuitive chat interface enables users to receive tailored support from an AI tutor, while integrated graphing tools and multi-subject capabilities enhance comprehension. No matter if you’re preparing for an exam or facing challenges with homework, MathGPT Pro provides quick, cost-effective, and efficient tutoring right from your device, making it an invaluable resource for students everywhere. This versatility ensures that learners can engage with the content in a way that suits their individual needs.

Gemini 2.5 Pro represents a cutting-edge AI model tailored for tackling intricate tasks, showcasing superior reasoning and coding skills. It stands out in various benchmarks, particularly in mathematics, science, and programming, where it demonstrates remarkable efficacy in activities such as web application development and code conversion. Building on the Gemini 2.5 framework, this model boasts a context window of 1 million tokens, allowing it to efficiently manage extensive datasets from diverse origins, including text, images, and code libraries. Now accessible through Google AI Studio, Gemini 2.5 Pro is fine-tuned for more advanced applications, catering to expert users with enhanced capabilities for solving complex challenges. Furthermore, its design reflects a commitment to pushing the boundaries of AI's potential in real-world scenarios.

Open R1 is a collaborative, open-source effort focused on mimicking the sophisticated AI functionalities of DeepSeek-R1 using clear and open methods. Users have the opportunity to explore the Open R1 AI model or engage in a free online chat with DeepSeek R1 via the Open R1 platform. This initiative presents a thorough execution of DeepSeek-R1's reasoning-optimized training framework, featuring resources for GRPO training, SFT fine-tuning, and the creation of synthetic data, all available under the MIT license. Although the original training dataset is still proprietary, Open R1 equips users with a complete suite of tools to create and enhance their own AI models, allowing for greater customization and experimentation in the field of artificial intelligence.

Smaug-72B is a formidable open-source large language model (LLM) distinguished by several prominent features: Exceptional Performance: It currently ranks first on the Hugging Face Open LLM leaderboard, outperforming models such as GPT-3.5 in multiple evaluations, demonstrating its ability to comprehend, react to, and generate text that closely resembles human writing. Open Source Availability: In contrast to many high-end LLMs, Smaug-72B is accessible to everyone for use and modification, which encourages cooperation and innovation within the AI ecosystem. Emphasis on Reasoning and Mathematics: This model excels particularly in reasoning and mathematical challenges, a capability attributed to specialized fine-tuning methods developed by its creators, Abacus AI. Derived from Qwen-72B: It is essentially a refined version of another robust LLM, Qwen-72B, which was launched by Alibaba, thereby enhancing its overall performance. In summary, Smaug-72B marks a notable advancement in the realm of open-source artificial intelligence, making it a valuable resource for developers and researchers alike. Its unique strengths not only elevate its status but also contribute to the ongoing evolution of AI technology.