Alternatives to DeepScaleR

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.

DeepCoder, an entirely open-source model for code reasoning and generation, has been developed through a partnership between Agentica Project and Together AI. Leveraging the foundation of DeepSeek-R1-Distilled-Qwen-14B, it has undergone fine-tuning via distributed reinforcement learning, achieving a notable accuracy of 60.6% on LiveCodeBench, which marks an 8% enhancement over its predecessor. This level of performance rivals that of proprietary models like o3-mini (2025-01-031 Low) and o1, all while operating with only 14 billion parameters. The training process spanned 2.5 weeks on 32 H100 GPUs, utilizing a carefully curated dataset of approximately 24,000 coding challenges sourced from validated platforms, including TACO-Verified, PrimeIntellect SYNTHETIC-1, and submissions to LiveCodeBench. Each problem mandated a legitimate solution along with a minimum of five unit tests to guarantee reliability during reinforcement learning training. Furthermore, to effectively manage long-range context, DeepCoder incorporates strategies such as iterative context lengthening and overlong filtering, ensuring it remains adept at handling complex coding tasks. This innovative approach allows DeepCoder to maintain high standards of accuracy and reliability in its code generation capabilities.

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.

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.

Nexusflow has unveiled Athene-V2, its newest model suite boasting 72 billion parameters, which has been meticulously fine-tuned from Qwen 2.5 72B to rival the capabilities of GPT-4o. Within this suite, Athene-V2-Chat-72B stands out as a cutting-edge chat model that performs comparably to GPT-4o across various benchmarks; it excels particularly in chat helpfulness (Arena-Hard), ranks second in the code completion category on bigcode-bench-hard, and demonstrates strong abilities in mathematics (MATH) and accurate long log extraction. Furthermore, Athene-V2-Agent-72B seamlessly integrates chat and agent features, delivering clear and directive responses while surpassing GPT-4o in Nexus-V2 function calling benchmarks, specifically tailored for intricate enterprise-level scenarios. These innovations highlight a significant industry transition from merely increasing model sizes to focusing on specialized customization, showcasing how targeted post-training techniques can effectively enhance models for specific skills and applications. As technology continues to evolve, it becomes essential for developers to leverage these advancements to create increasingly sophisticated AI solutions.

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.

Pixtral Large is an expansive multimodal model featuring 124 billion parameters, crafted by Mistral AI and enhancing their previous Mistral Large 2 framework. This model combines a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, allowing it to excel in the interpretation of various content types, including documents, charts, and natural images, all while retaining superior text comprehension abilities. With the capability to manage a context window of 128,000 tokens, Pixtral Large can efficiently analyze at least 30 high-resolution images at once. It has achieved remarkable results on benchmarks like MathVista, DocVQA, and VQAv2, outpacing competitors such as GPT-4o and Gemini-1.5 Pro. Available for research and educational purposes under the Mistral Research License, it also has a Mistral Commercial License for business applications. This versatility makes Pixtral Large a valuable tool for both academic research and commercial innovations.

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.

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.

Sky-T1-32B-Preview is an innovative open-source reasoning model crafted by the NovaSky team at UC Berkeley's Sky Computing Lab. It delivers performance comparable to proprietary models such as o1-preview on various reasoning and coding assessments, while being developed at a cost of less than $450, highlighting the potential for budget-friendly, advanced reasoning abilities. Fine-tuned from Qwen2.5-32B-Instruct, the model utilized a meticulously curated dataset comprising 17,000 examples spanning multiple fields, such as mathematics and programming. The entire training process was completed in just 19 hours using eight H100 GPUs with DeepSpeed Zero-3 offloading technology. Every component of this initiative—including the data, code, and model weights—is entirely open-source, allowing both academic and open-source communities to not only replicate but also improve upon the model's capabilities. This accessibility fosters collaboration and innovation in the realm of artificial intelligence research and development.

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.

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.

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.

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.

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.

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.

Phi-4-mini-flash-reasoning is a 3.8 billion-parameter model that is part of Microsoft's Phi series, specifically designed for edge, mobile, and other environments with constrained resources where processing power, memory, and speed are limited. This innovative model features the SambaY hybrid decoder architecture, integrating Gated Memory Units (GMUs) with Mamba state-space and sliding-window attention layers, achieving up to ten times the throughput and a latency reduction of 2 to 3 times compared to its earlier versions without compromising on its ability to perform complex mathematical and logical reasoning. With a support for a context length of 64K tokens and being fine-tuned on high-quality synthetic datasets, it is particularly adept at handling long-context retrieval, reasoning tasks, and real-time inference, all manageable on a single GPU. Available through platforms such as Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, Phi-4-mini-flash-reasoning empowers developers to create applications that are not only fast but also scalable and capable of intensive logical processing. This accessibility allows a broader range of developers to leverage its capabilities for innovative solutions.

Qwen2.5-Max is an advanced Mixture-of-Experts (MoE) model created by the Qwen team, which has been pretrained on an extensive dataset of over 20 trillion tokens and subsequently enhanced through methods like Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). Its performance in evaluations surpasses that of models such as DeepSeek V3 across various benchmarks, including Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, while also achieving strong results in other tests like MMLU-Pro. This model is available through an API on Alibaba Cloud, allowing users to easily integrate it into their applications, and it can also be interacted with on Qwen Chat for a hands-on experience. With its superior capabilities, Qwen2.5-Max represents a significant advancement in AI model technology.

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.

Olmo 3 represents a comprehensive family of open models featuring variations with 7 billion and 32 billion parameters, offering exceptional capabilities in base performance, reasoning, instruction, and reinforcement learning, while also providing transparency throughout the model development process, which includes access to raw training datasets, intermediate checkpoints, training scripts, extended context support (with a window of 65,536 tokens), and provenance tools. The foundation of these models is built upon the Dolma 3 dataset, which comprises approximately 9 trillion tokens and utilizes a careful blend of web content, scientific papers, programming code, and lengthy documents; this thorough pre-training, mid-training, and long-context approach culminates in base models that undergo post-training enhancements through supervised fine-tuning, preference optimization, and reinforcement learning with accountable rewards, resulting in the creation of the Think and Instruct variants. Notably, the 32 billion Think model has been recognized as the most powerful fully open reasoning model to date, demonstrating performance that closely rivals that of proprietary counterparts in areas such as mathematics, programming, and intricate reasoning tasks, thereby marking a significant advancement in open model development. This innovation underscores the potential for open-source models to compete with traditional, closed systems in various complex applications.

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.

Cohere's Command A Translate is a robust machine translation solution designed for enterprises, offering secure and top-notch translation capabilities in 23 languages pertinent to business. It operates on an advanced 111-billion-parameter framework with an 8K-input / 8K-output context window, providing superior performance that outshines competitors such as GPT-5, DeepSeek-V3, DeepL Pro, and Google Translate across various benchmarks. The model facilitates private deployment options for organizations handling sensitive information, ensuring they maintain total control of their data, while also featuring a pioneering “Deep Translation” workflow that employs an iterative, multi-step refinement process to significantly improve translation accuracy for intricate scenarios. RWS Group’s external validation underscores its effectiveness in managing demanding translation challenges. Furthermore, the model's parameters are accessible for research through Hugging Face under a CC-BY-NC license, allowing for extensive customization, fine-tuning, and adaptability for private implementations, making it an attractive option for organizations seeking tailored language solutions. This versatility positions Command A Translate as an essential tool for enterprises aiming to enhance their communication across global markets.

A versatile JavaScript display engine designed for mathematics, ensuring compatibility across all web browsers. It delivers stunning and accessible mathematical content seamlessly, eliminating any setup requirements for users—MathJax operates effortlessly. This powerful tool enables the conversion of conventional print materials into contemporary, web-friendly formats and ePubs. The dedicated MathJax team offers training sessions for your staff, focusing on how to leverage our resources for developing online educational materials and crafting accessible STEM content. Additionally, MathJax's flexibility allows customization according to your institution's specific needs, including personalized configurations and tailored software workflows. Utilizing CSS with web fonts or SVG instead of bitmap images or Flash, MathJax ensures that equations are scalable alongside surrounding text at any zoom level. Its modular design supports various input formats like MathML, TeX, and ASCIImath, while generating outputs in HTML+CSS, SVG, or MathML. Furthermore, MathJax is compatible with screen readers and enhances user experience through features like expression zoom and interactive exploration, making it an invaluable resource for educators and students alike.

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.

As of April 2023, AnyShift was functioning, but if there are intentions for a major launch or growth in 2024—like the addition of new features, expansion into new markets, or substantial platform updates—such developments would surpass the information available to me at that time. To stay informed about AnyShift's 2024 initiatives, visiting their official website or reviewing recent press releases would be the most reliable approach. Keeping an eye on their announcements can provide insights into the company's evolving strategies.

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.

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.

Llama 4 Behemoth, with 288 billion active parameters, is Meta's flagship AI model, setting new standards for multimodal performance. Outpacing its predecessors like GPT-4.5 and Claude Sonnet 3.7, it leads the field in STEM benchmarks, offering cutting-edge results in tasks such as problem-solving and reasoning. Designed as the teacher model for the Llama 4 series, Behemoth drives significant improvements in model quality and efficiency through distillation. Although still in development, Llama 4 Behemoth is shaping the future of AI with its unparalleled intelligence, particularly in math, image, and multilingual tasks.

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.

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.

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.

Qwen2-VL represents the most advanced iteration of vision-language models within the Qwen family, building upon the foundation established by Qwen-VL. This enhanced model showcases remarkable capabilities, including: Achieving cutting-edge performance in interpreting images of diverse resolutions and aspect ratios, with Qwen2-VL excelling in visual comprehension tasks such as MathVista, DocVQA, RealWorldQA, and MTVQA, among others. Processing videos exceeding 20 minutes in length, enabling high-quality video question answering, engaging dialogues, and content creation. Functioning as an intelligent agent capable of managing devices like smartphones and robots, Qwen2-VL utilizes its sophisticated reasoning and decision-making skills to perform automated tasks based on visual cues and textual commands. Providing multilingual support to accommodate a global audience, Qwen2-VL can now interpret text in multiple languages found within images, extending its usability and accessibility to users from various linguistic backgrounds. This wide-ranging capability positions Qwen2-VL as a versatile tool for numerous applications across different 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.

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.

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.

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.

Introducing Doodle, the innovative suite of applications that is transforming children's education! With a focus on essential skills in mathematics and English, our four distinct apps provide each child with a customized learning journey that caters to their individual requirements, ultimately enhancing their self-esteem and capabilities. Boasting over 40,000 engaging exercises, DoodleMaths dives into numerical reasoning and problem-solving, equipping children with foundational skills applicable both in school and everyday life. Moving past simple memorization, DoodleTables aids children in grasping the connections between numbers, allowing them to fully master their multiplication tables. DoodleEnglish covers vital aspects of literacy such as spelling, punctuation, grammar, and reading comprehension, immersing students in language through practical applications that enliven the curriculum. Meanwhile, DoodleSpell enhances children's understanding of vocabulary by teaching them word meanings and contextual usage, thereby elevating their language skills beyond the traditional ‘look, cover, write, check’ method. With Doodle, learning becomes an exciting adventure that fosters a lifelong love for education.

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.

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.

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.

Yi-Lightning, a product of 01.AI and spearheaded by Kai-Fu Lee, marks a significant leap forward in the realm of large language models, emphasizing both performance excellence and cost-effectiveness. With the ability to process a context length of up to 16K tokens, it offers an attractive pricing model of $0.14 per million tokens for both inputs and outputs, making it highly competitive in the market. The model employs an improved Mixture-of-Experts (MoE) framework, featuring detailed expert segmentation and sophisticated routing techniques that enhance its training and inference efficiency. Yi-Lightning has distinguished itself across multiple fields, achieving top distinctions in areas such as Chinese language processing, mathematics, coding tasks, and challenging prompts on chatbot platforms, where it ranked 6th overall and 9th in style control. Its creation involved an extensive combination of pre-training, targeted fine-tuning, and reinforcement learning derived from human feedback, which not only enhances its performance but also prioritizes user safety. Furthermore, the model's design includes significant advancements in optimizing both memory consumption and inference speed, positioning it as a formidable contender in its field.

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.

LZMiner, founded in 2023, is dedicated to providing stable and transparent cryptocurrency mining solutions for users around the globe. The company was founded in the context of rapid development of cryptocurrency market. LZMiner, which has a thorough understanding of blockchain technology as well as the future trends in the digital economy and is one of the leading platforms in the industry, has quickly become a leader. We believe that decentralized financial technology will be at the core of future digital economies, and cryptocurrency mining is an important part of that infrastructure. It has a huge market demand and development potential.

MathML Kit allows you to place MathML files natively without any additional conversions. It allows you to import math equations into Adobe InDesign CC Server and Adobe InDesign. Major browsers support this format. However, MathML equations should not be printed. Instead, they should be converted to vector (EPS or pdf) or raster formats. Images that are not formatted in this way lose quality and are difficult to maintain. Our solution allows you to insert MathML formulas manually or automatically into InDesign documents and produce high-quality HQ prints. We support the following Adobe products : Adobe InDesign support CS6 - CC2018. Adobe InDesign Server support CS6 - CC2018. Adobe InCopy support, CS6- CC2018. Extended support for MathML 2.0 presentation. Basic support for MathML 2.0 content. MathML 3.0 basic assistance. This solution is not for editing, but is primarily for high-quality printing. Customization available upon request.

Every classroom and every student benefits from our initiative, which yields tangible results. As a nonprofit organization, our goal is to offer a free, exceptional education for individuals everywhere. Students can learn at their own pace, initially addressing any gaps in their knowledge and then progressing to more advanced topics. Developed by specialists, Khan Academy boasts a comprehensive library of verified practice exercises and lessons across subjects like math and science, all available at no cost to both learners and educators. Our platform allows teachers to pinpoint areas where students may be struggling, enabling them to customize their teaching methods and cater to each student’s unique needs. By empowering educators, we help them support every learner in their classrooms effectively. An impressive 90% of educators in the United States who have utilized Khan Academy report its effectiveness in enhancing student learning. We aim to foster a robust understanding of mathematics, science, and other subjects. Unfortunately, around 617 million children worldwide lack fundamental skills in reading and math. As a nonprofit dedicated to providing the education they require, we invite you to join our mission. Your involvement can profoundly transform a child's future, creating lasting impacts. Together, we can bridge the educational gap and ensure every child has the opportunity to succeed.