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Data Modeling Tools
Data modeling tools are software tools that help organizations design, visualize, and manage data structures, relationships, and flows within databases and data systems. These tools enable data architects and engineers to create conceptual, logical, and physical data models that ensure data is organized in a way that is efficient, scalable, and aligned with business needs. Data modeling tools also provide features for defining data attributes, establishing relationships between entities, and ensuring data integrity through constraints. By automating aspects of the design and validation process, these tools help prevent errors and inconsistencies in database structures. They are essential for businesses that need to manage complex datasets and maintain data consistency across multiple platforms.
3D Modeling Software
3D modeling software is designed to create, edit, and manipulate 3D models used in a wide range of industries such as gaming, film production, architecture, and product design. These tools allow users to create 3D representations of objects, environments, and characters by manipulating shapes, textures, and materials in a digital space. Features typically include modeling tools for mesh creation, sculpting, texturing, and rigging, as well as rendering capabilities to visualize the final design. 3D modeling software is essential for prototyping, visualizing concepts, and preparing models for applications such as 3D printing, virtual reality (VR), and augmented reality (AR).
AI Models
AI models are systems designed to simulate human intelligence by learning from data and solving complex tasks. They include specialized types like Large Language Models (LLMs) for text generation, image models for visual recognition and editing, and video models for processing and analyzing dynamic content. These models power applications such as chatbots, facial recognition, video summarization, and personalized recommendations. Their capabilities rely on advanced algorithms, extensive training datasets, and robust computational resources. AI models are transforming industries by automating processes, enhancing decision-making, and enabling creative innovations.
Surface Modeling Software
Surface modeling software is used to create complex, curved 3D surfaces, often applied in industries like automotive, aerospace, and industrial design. Unlike solid modeling, which focuses on volume, surface modeling defines shapes using intricate, lightweight surface layers, allowing for detailed and flexible design adjustments. It enables designers to manipulate surfaces with precision, crafting visually refined and aerodynamically optimized forms. The software typically includes tools for freeform modeling, surface continuity, and curvature control, supporting highly customized and aesthetically driven designs. Surface modeling software is essential for projects where shape, style, and performance are closely interlinked, leading to innovative and visually compelling products.
Multimodal Models
Multimodal models are artificial intelligence models capable of understanding, processing, and generating multiple types of data—including text, images, audio, video, code, and other structured or unstructured inputs—within a single unified system. These models combine information across modalities to perform tasks such as visual question answering, image generation, speech recognition, video understanding, document analysis, code generation, and conversational AI. Many multimodal models support advanced capabilities such as tool use, reasoning, AI agents, and long-context processing, enabling more natural and context-aware interactions. They are commonly available through APIs, cloud AI platforms, and open-source frameworks for use in enterprise applications, creative workflows, robotics, healthcare, education, and software development. By integrating multiple forms of information into a single model, multimodal models enable more capable, flexible, and human-like AI systems.
Foundation Models
Foundation models are large-scale artificial intelligence models trained on vast and diverse datasets that serve as the underlying technology for a wide range of AI applications. These models learn general-purpose capabilities such as language understanding, reasoning, image recognition, code generation, speech processing, and multimodal comprehension, allowing them to be adapted or fine-tuned for specific tasks across industries. Foundation models power applications including chatbots, AI agents, search, content generation, software development, scientific research, and business automation. Many are available through cloud APIs, open-source distributions, and enterprise AI platforms, supporting custom model development, retrieval-augmented generation (RAG), and domain-specific optimization. By providing reusable, general-purpose intelligence, foundation models enable organizations to accelerate AI development, reduce implementation costs, and build sophisticated AI-powered applications.
Embedding Models
Embedding models, accessible via APIs, transform data such as text or images into numerical vector representations that capture semantic relationships. These vectors facilitate efficient similarity searches, clustering, and various AI-driven tasks by positioning related concepts closer together in a continuous space. By preserving contextual meaning, embedding models and embedding APIs help machines understand relationships between words, objects, or other entities. They play a crucial role in enhancing search relevance, recommendation systems, and natural language processing applications.
Reranking Models
Reranking models are AI models in information retrieval systems that refine the order of retrieved documents to better match user queries. Typically employed in two-stage retrieval pipelines, these models first generate a broad set of candidate documents and then reorder them based on relevance. They utilize sophisticated techniques, such as deep learning models like BERT, T5, and their multilingual variants, to capture complex semantic relationships between queries and documents. The primary advantage of reranking models lies in their ability to improve the precision of search results, ensuring that the most pertinent documents are presented to the user. However, this enhanced accuracy often comes at the cost of increased computational resources and potential latency. Despite these challenges, rerankers are integral to applications requiring high-quality information retrieval, such as question answering, semantic search, and recommendation systems.
Process Modeling Software
Process modeling tools help businesses visualize, analyze, and improve their internal workflows and operations.
Financial Modeling Software
Financial modeling software is used to create, analyze, and manage financial models and simulations. These solutions provide a range of tools and capabilities to help organizations make more informed and accurate financial decisions. Financial modeling software allows organizations to create sophisticated financial models that account for multiple variables and scenarios, helping them optimize their financial planning and decision-making processes.
Molecular Modeling Software
Molecular modeling software is software used by chemists and biologists to visualize, simulate, and predict the properties of molecules. It can be used to design new drug molecules or study existing ones. The software uses computational algorithms and graphical user interfaces to depict molecular structure, as well as analyze functions such as bond lengths, angles, and energies. It can also simulate molecular dynamics processes to understand chemical reactivity on a molecular level.
Parametric Modeling Software
Parametric modeling software is a type of computer-aided design (CAD) software that allows 3D objects to be created and manipulated using parameters. It enables users to generate and modify geometric shapes based on variable measurements, allowing for increased speed and efficiency in the design process. This type of software is used widely in various industries such as engineering, architecture, product development and manufacturing. Additionally, parametric modeling software can also be used for analysis purposes as it can simulate realistic conditions while testing a design’s strength or functionality.
Threat Modeling Tools
Threat modeling tools are software solutions that enable organizations identify, assess, and prioritize security threats within their systems, applications, and networks. These tools enable security teams to create structured models of their infrastructure and simulate potential attack scenarios, helping to uncover vulnerabilities before they can be exploited. Threat modeling tools typically allow users to map out the flow of data, identify entry points, and analyze the potential impact of different types of threats, such as unauthorized access or data breaches. By automating aspects of the threat identification process, these tools help organizations proactively strengthen their security posture. They are essential for risk management and ensuring that security controls are effectively implemented.
Small Language Models
Small Language Models (SLMs) are compact AI models designed to perform natural language understanding and generation tasks while requiring significantly fewer computational resources than large language models (LLMs). These models are optimized for low latency, lower memory usage, on-device inference, and cost-efficient deployment, making them well suited for edge devices, mobile applications, embedded systems, and enterprise workloads with strict performance or privacy requirements. SLMs can power applications such as chatbots, document summarization, code generation, classification, translation, question answering, and AI agents while delivering fast inference and reduced infrastructure costs. Many small language models are available as open-source or commercial offerings and integrate with AI frameworks, inference engines, cloud platforms, and developer tools for flexible deployment. By balancing performance, efficiency, and scalability, small language models help organizations build responsive, cost-effective AI applications across a wide range of environments.
Model Risk Management Software
Model risk management software is a comprehensive tool designed to help organizations effectively manage and mitigate the potential risks associated with their models. It uses advanced data analytics and modeling techniques to identify and evaluate potential risks, allowing businesses to make more informed decisions. Some model risk management software tools also offer AI model risk management capabilities, which enable users to assess the potential risks posed by artificial intelligence models. With its user-friendly interface and customizable features, this software provides a reliable solution for organizations looking to enhance their overall risk management processes. By utilizing this software, companies can proactively monitor and address any potential risks that may arise from their models, thus minimizing the impact on their business operations.
AI Reasoning Models
AI reasoning models are artificial intelligence models designed to perform complex problem-solving, logical reasoning, planning, and multi-step decision-making beyond traditional language generation. These models use advanced inference techniques to break down difficult tasks, evaluate alternatives, apply logic, and generate more accurate responses for domains such as mathematics, programming, scientific research, business analysis, and autonomous AI agents. AI reasoning models often support extended context windows, tool use, code execution, structured outputs, and agentic workflows to solve complex real-world problems. Many are available through APIs, cloud platforms, and AI development frameworks, enabling developers to build intelligent applications and autonomous systems. By combining language understanding with advanced reasoning capabilities, AI reasoning models help organizations improve decision-making, automate complex workflows, and power next-generation AI applications.
AI Vision Models
AI vision models, also known as computer vision models, are designed to enable machines to interpret and understand visual information from the world, such as images or video. These models use deep learning techniques, often employing convolutional neural networks (CNNs), to analyze patterns and features in visual data. They can perform tasks like object detection, image classification, facial recognition, and scene segmentation. By training on large datasets, AI vision models improve their accuracy and ability to make predictions based on visual input. These models are widely used in fields such as healthcare, autonomous driving, security, and augmented reality.
ML Model Deployment Tools
Machine learning model deployment tools, also known as model serving tools, are platforms and software solutions that facilitate the process of deploying machine learning models into production environments for real-time or batch inference. These tools help automate the integration, scaling, and monitoring of models after they have been trained, enabling them to be used by applications, services, or products. They offer functionalities such as model versioning, API creation, containerization (e.g., Docker), and orchestration (e.g., Kubernetes), ensuring that the models can be deployed, maintained, and updated seamlessly. These tools also monitor model performance over time, helping teams detect model drift and maintain accuracy.
ML Model Management Tools
ML model management tools help data science and engineering teams track, version, deploy, and maintain machine learning models throughout their lifecycle. They provide visibility into model performance, experiments, and dependencies to ensure consistency and reproducibility. The tools often include features for model versioning, validation, monitoring, and rollback. Many platforms integrate with data pipelines, training frameworks, and deployment environments. By centralizing model governance and operations, ML model management tools support scalable, reliable, and compliant machine learning systems.
AI Coding Models
AI coding models are machine learning models specifically trained to assist with software development tasks, such as code generation, bug detection, code completion, and optimization. These models are often built using large datasets of source code and can understand programming languages, patterns, and frameworks. AI coding models can write code based on user prompts, suggest syntax or entire functions, and help developers improve their code through real-time suggestions.
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123 Products for "input-output model" with 1 filter applied:

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  • 1
    Composer 2.5
    Composer 2.5 is the latest AI coding model released by Cursor, offering major improvements in intelligence, collaboration, and long-task performance compared to Composer 2. The model is designed to follow complex instructions more accurately while providing a smoother and more natural user experience during coding sessions. Cursor enhanced Composer 2.5 through larger-scale training, more advanced reinforcement learning environments, and improved behavioral tuning focused on communication and...
    1 Rating
    Starting Price: $0.50/M input
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  • 2
    DeepSeek-V4-Pro
    DeepSeek-V4-Pro is a large-scale Mixture-of-Experts (MoE) language model designed for advanced reasoning, coding, and long-context understanding. It features 1.6 trillion total parameters with 49 billion activated parameters, enabling high performance while maintaining efficiency. The model supports an exceptionally large context window of up to one million tokens, allowing it to process extensive documents and workflows. It uses a hybrid attention architecture to optimize long-context...
    1 Rating
    Starting Price: $0.435 per 1M tokens (input)
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  • 3
    MiniMax M3

    MiniMax M3

    MiniMax

    MiniMax M3 is an open-weight multimodal AI model designed for coding, agentic workflows, long-context reasoning, and complex automation tasks. The model combines frontier-level coding performance, native multimodal understanding, and a context window of up to 1 million tokens. MiniMax M3 uses MiniMax Sparse Attention to improve long-context efficiency while reducing compute requirements for large-scale inputs.
    1 Rating
    Starting Price: $0.30 per million input tokens
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  • 4
    Muse Code
    Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that...
    1 Rating
    Starting Price: $1.25 per 1M tokens (input)
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  • 5
    DeepSeek-V4-Flash
    ...Trained on over 32 trillion tokens, DeepSeek-V4-Flash demonstrates solid capabilities across knowledge, reasoning, and coding tasks. It is designed for scenarios where speed and efficiency are critical, offering a balance between performance and resource usage. The model also supports multiple reasoning modes, allowing users to adjust between faster outputs and deeper analysis.
    1 Rating
    Starting Price: $0.14 per 1M tokens (input)
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  • 6
    Grok Code Fast 1
    ...With optimized inference and caching techniques, it achieves impressive responsiveness and a 90%+ cache hit rate when integrated with partners like GitHub Copilot, Cursor, and Cline. Offered at just $0.20 per million input tokens and $1.50 per million output tokens, Grok Code Fast 1 strikes a strong balance between speed, performance, and affordability.
    Starting Price: $0.20 per million input tokens
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  • 7
    Composer 2
    Composer 2 is an advanced AI coding model integrated into Cursor, designed to deliver high-level programming performance at a cost-efficient price. It is trained on long-horizon coding tasks, enabling it to solve complex problems that require multiple steps and actions. The model demonstrates strong improvements across key benchmarks, including Terminal-Bench and SWE-bench Multilingual. With enhanced intelligence and efficiency, it provides faster and more accurate code generation. Composer...
    Starting Price: $0.50/M input
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  • 8
    gpt-oss-120b
    ...Although it includes default safety guardrails, its open-weight architecture allows fine-tuning that could override built-in controls, so implementers are responsible for adding input filtering, output monitoring, and governance measures to achieve enterprise-grade security. As a community–driven model card rather than a managed service spec, it emphasizes transparency, customization, and the need for downstream safety practices.
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  • 9
    Laya AI

    Laya AI

    Laya AI

    Laya AI is an open source family of non-autoregressive System 1 decision models built for fast, typed decisions instead of free-form text generation. Given a state and structured questions, Laya evaluates them in a single forward pass and returns outputs that application code can use directly. It supports three decision types: choice, which selects among named options and returns probabilities; score, which places an input on an ordered rubric such as urgency or severity; and noul, which estimates the probability that a proposition is true. ...
    Starting Price: Free
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  • 10
    Yi-Large
    Yi-Large is a proprietary large language model developed by 01.AI, offering a 32k context length with both input and output costs at $2 per million tokens. It stands out with its advanced capabilities in natural language processing, common-sense reasoning, and multilingual support, performing on par with leading models like GPT-4 and Claude3 in various benchmarks. Yi-Large is designed for tasks requiring complex inference, prediction, and language understanding, making it suitable for applications like knowledge search, data classification, and creating human-like chatbots. ...
    Starting Price: $0.19 per 1M input token
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  • 11
    condense.chat

    condense.chat

    condense.chat

    condense.chat is an LLM input compression API and drop-in proxy that shrinks prompts, retrieved documents, tool outputs, and repeated agent context before they hit upstream models. Less context, same Claude Code; its harness intercepts an agent’s growing session history and passes it through compression models before it reaches the main model, helping long-running coding agents start each next turn with fewer tokens.
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  • 12
    gpt-oss-20b
    ...Developers must implement their own deployment safeguards, such as input filtering, output monitoring, and usage policies, to match the system-level protections of hosted offerings and mitigate risks from malicious or unintended behaviors. Its open-weight design makes it ideal for on-premises or edge deployments where control, customization, and transparency are paramount.
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  • 13
    Embiot

    Embiot

    Telchemy

    ...Embiot is able to send output reports to multiple destinations concurrently in REST, MQTT and custom text formats. For security, Embiot supports TLS selectively on any input or output stream, HTTP and MQTT authentication.
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  • 14
    VideoLingo

    VideoLingo

    VideoLingo

    ...Its workflow includes subtitle segmentation and timing, synthesized speech, and video export; features and limits vary by plan. The free plan provides 15 minutes of video processing, English and Chinese input, bilingual subtitles, 480p output, dubbing, and a watermark. Paid plans add processing capacity, support for eight input languages, 1080p output, and additional dubbing options. An open-source edition can also be installed locally on Windows, macOS, or Linux.
    Starting Price: $0/month
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  • 15
    GLM-4.6V
    GLM-4.6V is a state-of-the-art open source multimodal vision-language model from the Z.ai (GLM-V) family designed for reasoning, perception, and action. It ships in two variants: a full-scale version (106B parameters) for cloud or high-performance clusters, and a lightweight “Flash” variant (9B) optimized for local deployment or low-latency use. GLM-4.6V supports a native context window of up to 128K tokens during training, enabling it to process very long documents or multimodal inputs. ...
    Starting Price: Free
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  • 16
    LazyTyper

    LazyTyper

    LazyTyper

    LazyTyper is a free, high-performance AI voice typing application that converts spoken words into text up to three times faster than manual typing with around 90% accuracy, significantly reducing the need for edits and speeding up workflow for emails, notes, documents, coding, and chats. It offers users a choice of 12 professional speech-to-text models, including DouBao Voice for high-accuracy Chinese dictation, ElevenLabs for better coding variable name formatting, Groq Whisper for fast and reliable output, Mistral Voxtral, AssemblyAI, and five fully local models that support offline use and protect privacy, all within a lightweight app that runs smoothly on Windows and macOS with minimal memory usage. ...
    Starting Price: Free
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  • 17
    Dedoctive

    Dedoctive

    Collaboration Tools Ltd

    ...This makes AI outputs usable, checkable, and defensible in settings where generic AI tools are not enough. Dedoctive a neuro-symbolic AI platform combining curated knowledge models, controlled BPMN workflows, full provenance links, Response Maps, multi-format ingestion, custom reports, and formal diagrams. It works with large language models without requiring model training, while giving organisations greater control over what the AI uses, how it reasons, and how outputs are verified.
    Starting Price: Free micro-pilot
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  • 18
    MiMo-V2-Pro

    MiMo-V2-Pro

    Xiaomi Technology

    Xiaomi MiMo-V2-Pro is a flagship AI foundation model designed to power real-world agentic workflows and complex task execution. It is built to function as the core intelligence behind agent systems, enabling orchestration of multi-step processes and production-level tasks. The model demonstrates strong capabilities in coding, tool usage, and search-based tasks, performing competitively on global benchmarks. With its large-scale architecture and extended context window, it can handle long and...
    Starting Price: $1/million tokens
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  • 19
    Mistral Small 4
    Mistral Small 4 is an advanced open-source AI model developed by Mistral AI that combines reasoning, coding, and multimodal capabilities into a single system. It unifies the strengths of previous models such as Magistral for reasoning, Pixtral for multimodal processing, and Devstral for agentic coding tasks. The model can handle both text and image inputs, allowing it to perform tasks ranging from conversational chat to visual analysis and document understanding. ...
    Starting Price: Free
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  • 20
    EKOM

    EKOM

    Writerly

    ...Outperform your benchmarks and boost productivity so you can spend more time driving revenue. Eliminate manual product descriptions through a no-code interface that scales easily and immediately. Inputs: Import product names, keywords, or existing low-performing product descriptions as inputs. Outputs: Upload your highest-performing product descriptions and watch as your model learns. EKOM auto-adjusts to maximize performance based on what's working in-market.
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  • 21
    NeuralWing

    NeuralWing

    Emmi AI

    ...The model supports transonic 3D wing simulation, geometry and inflow variations, real-time inference, and design-parameter optimization. Its inputs include a geometry mesh in STL format, speed, and angle of attack, while its outputs include pressure, friction, velocity fields, and integral forces such as lift and drag. Geometry meshes are created in real time from four design parameters in a differentiable manner, allowing fast exploration of design changes.
    Starting Price: Free
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  • 22
    AMSTARC

    AMSTARC

    WITC Information Systems

    ...Provides trip report including route. Provides miles/kilometers driven reports. Provides extensive fuel usage analysis reports. Tracks driver's driving patterns. Channel input (include 6 channel logistic input which is user-defined, 1 pulse counter input), six-channel output(include 4 channel logistic output which is user-defined). User-defined 3X16 byte saving memory for recording installation information.
    Starting Price: $10000 per month
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  • 23
    Wasabi Wallet

    Wasabi Wallet

    Wasabi Wallet

    ...Wasabi's coinjoin implementation is trustless by design. The participants do not need to trust each other or any third party. Both the sending address (the coinjoin input) and the receiving address (the coinjoin output) are controlled by your own private keys. Wasabi merely coordinates the process of combining the inputs of the participants into one single transaction, but the wallet can neither steal your coins, nor figure out which outputs belong to which inputs. Not your keys, not your bitcoin. ...
    1 Rating
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  • 24
    Llama 3.2
    The open-source AI model you can fine-tune, distill and deploy anywhere is now available in more versions. Choose from 1B, 3B, 11B or 90B, or continue building with Llama 3.1. Llama 3.2 is a collection of large language models (LLMs) pretrained and fine-tuned in 1B and 3B sizes that are multilingual text only, and 11B and 90B sizes that take both text and image inputs and output text.
    Starting Price: Free
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  • 25
    LTX

    LTX

    Lightricks

    LTX is an open foundation model for video, audio, and world simulation. You get full control over your AI: run LTX locally on your own hardware, fine tune it on your own IP, and generate video and audio as one unified output instead of stitching together separate tools. The latest model, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer that generates native 4K video at up to 50fps, with synchronized audio and video produced in a single pass.
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    182 Ratings
    Starting Price: $0
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  • 26
    Daedalus

    Daedalus

    Input Output (IOHK)

    Daedalus wallet is the open source wallet for ada (ADA - The cryptocurrency of Cardano), built to grow with the Cardano blockchain. Daedalus is a secure wallet for the ada cryptocurrency. Download and install the wallet so you can keep your ada safe. Daedalus is a full node wallet. This means that unlike light wallets (e.g.Yoroi, Adalite etc.) Daedalus downloads a full copy of the Cardano blockchain and independently validates every transaction in its history. That way you get maximum...
    1 Rating
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  • 27
    AIR

    AIR

    SiTex Graphics

    ...AIR supports a broad range of geometric primitives, including polygon meshes, trimmed NURBs, subdivision meshes, curves, particles, and implicit surfaces. All primitives are supported in their natural form; no pre-meshing is required. AIR also provides true (sub-pixel) displacement and high-dynamic range (HDR) input and output. AIR offers the flexibility of fully programmable shading and procedural modeling. Users can extend the shading language by writing new functions in any programming language.
    Starting Price: $375 per license
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  • 28
    C++

    C++

    C++

    ...|...), but once one knows the meaning of such characters it can be even more schematic and clear than other languages that rely more on English words. Also, the simplification of the input/output interface of C++ in comparison to C and the incorporation of the standard template library in the language, makes the communication and manipulation of data in a program written in C++ as simple as in other languages, without losing the power it offers. It is a programming model that treats programming from a perspective where each component is considered an object, with its own properties and methods, replacing or complementing structured programming paradigm, where the focus was on procedures and parameters.
    Starting Price: Free
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  • 29
    ACE

    ACE

    u-he

    Compact, clear, careful selection of modules and semi-modular architecture makes ACE easy to learn. Simple but not simplistic. Compact but not limited, clear but definitely not underpowered. With the ability to connect any output to any input, ACE is a powerful synth with tools and features ready for beginners or seasoned users. The “boxes and cables” philosophy of modular synthesizers gives you the freedom to create your own custom instruments. Once you start connecting the sixteen modules in ACE, exploring new combinations, and cross-pollinating ideas, the vast potential of modular soon becomes clear. ...
    Starting Price: €69 one-time payment
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  • 30
    MathJax

    MathJax

    MathJax

    ...MathJax uses CSS with web fonts or SVG, instead of bitmap images or Flash, so equations scale with surrounding text at all zoom levels. MathJax is highly modular on input and output. Use MathML, TeX, and ASCIImath as input and produce HTML+CSS, SVG, or MathML as output. MathJax works with screenreaders & provides expression zoom and interactive exploration.
    Starting Price: Free
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