Alternatives to Falcon Chat

Compare Falcon Chat alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Falcon Chat in 2026. Compare features, ratings, user reviews, pricing, and more from Falcon Chat competitors and alternatives in order to make an informed decision for your business.

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    CrowdStrike Falcon
    CrowdStrike Falcon is a cloud-native cybersecurity platform that provides advanced protection against a wide range of cyber threats, including malware, ransomware, and sophisticated attacks. It leverages artificial intelligence (AI) and machine learning to detect and respond to threats in real time, offering endpoint protection, threat intelligence, and incident response capabilities. The platform uses a lightweight agent that continuously monitors endpoints for signs of malicious activity, providing visibility and protection without significant impact on system performance. Falcon’s cloud-based architecture ensures fast updates, scalability, and rapid threat response across large, distributed environments. Its comprehensive security features help organizations prevent, detect, and mitigate potential cyber risks, making it a powerful tool for modern enterprise cybersecurity.
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    Falcon Mamba 7B

    Falcon Mamba 7B

    Technology Innovation Institute (TII)

    Falcon Mamba 7B is the first open-source State Space Language Model (SSLM), introducing a groundbreaking architecture for Falcon models. Recognized as the top-performing open-source SSLM worldwide by Hugging Face, it sets a new benchmark in AI efficiency. Unlike traditional transformers, SSLMs operate with minimal memory requirements and can generate extended text sequences without additional overhead. Falcon Mamba 7B surpasses leading transformer-based models, including Meta’s Llama 3.1 8B and Mistral’s 7B, showcasing superior performance. This innovation underscores Abu Dhabi’s commitment to advancing AI research and development on a global scale.
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    Falcon 3

    Falcon 3

    Technology Innovation Institute (TII)

    Falcon 3 is an open-source large language model (LLM) developed by the Technology Innovation Institute (TII) to make advanced AI accessible to a broader audience. Designed for efficiency, it operates seamlessly on lightweight devices, including laptops, without compromising performance. The Falcon 3 ecosystem comprises four scalable models, each tailored to diverse applications, and supports multiple languages while optimizing resource usage. This latest iteration in TII's LLM series achieves state-of-the-art results in reasoning, language understanding, instruction following, code, and mathematics tasks. By combining high performance with resource efficiency, Falcon 3 aims to democratize access to AI, empowering users across various sectors to leverage advanced technology without the need for extensive computational resources.
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    Falcon 2

    Falcon 2

    Technology Innovation Institute (TII)

    Falcon 2 11B is an open-source, multilingual, and multimodal AI model, uniquely equipped with vision-to-language capabilities. It surpasses Meta’s Llama 3 8B and delivers performance on par with Google’s Gemma 7B, as independently confirmed by the Hugging Face Leaderboard. Looking ahead, the next phase of development will integrate a 'Mixture of Experts' approach to further enhance Falcon 2’s capabilities, pushing the boundaries of AI innovation.
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    HunyuanOCR

    HunyuanOCR

    Tencent

    Tencent Hunyuan is a large-scale, multimodal AI model family developed by Tencent that spans text, image, video, and 3D modalities, designed for general-purpose AI tasks like content generation, visual reasoning, and business automation. Its model lineup includes variants optimized for natural language understanding, multimodal vision-language comprehension (e.g., image & video understanding), text-to-image creation, video generation, and 3D content generation. Hunyuan models leverage a mixture-of-experts architecture and other innovations (like hybrid “mamba-transformer” designs) to deliver strong performance on reasoning, long-context understanding, cross-modal tasks, and efficient inference. For example, the vision-language model Hunyuan-Vision-1.5 supports “thinking-on-image”, enabling deep multimodal understanding and reasoning on images, video frames, diagrams, or spatial data.
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    Falcon-40B

    Falcon-40B

    Technology Innovation Institute (TII)

    Falcon-40B is a 40B parameters causal decoder-only model built by TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license. Why use Falcon-40B? It is the best open-source model currently available. Falcon-40B outperforms LLaMA, StableLM, RedPajama, MPT, etc. See the OpenLLM Leaderboard. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions. ⚠️ This is a raw, pretrained model, which should be further finetuned for most usecases. If you are looking for a version better suited to taking generic instructions in a chat format, we recommend taking a look at Falcon-40B-Instruct.
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    Hunyuan-Vision-1.5
    HunyuanVision is a cutting-edge vision-language model developed by Tencent’s Hunyuan team. It uses a mamba-transformer hybrid architecture to deliver strong performance and efficient inference in multimodal reasoning tasks. The version Hunyuan-Vision-1.5 is designed for “thinking on images,” meaning it not only understands vision+language content, but can perform deeper reasoning that involves manipulating or reflecting on image inputs, such as cropping, zooming, pointing, box drawing, or drawing on the image to acquire additional knowledge. It supports a variety of vision tasks (image + video recognition, OCR, diagram understanding), visual reasoning, and even 3D spatial comprehension, all in a unified multilingual framework. The model is built to work seamlessly across languages and tasks and is intended to be open sourced (including checkpoints, technical report, inference support) to encourage the community to experiment and adopt.
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    Nemotron 3 Super
    Nemotron-3 Super is part of NVIDIA’s Nemotron 3 family of open models designed to enable advanced agentic AI systems that can reason, plan, and execute multi-step workflows across complex environments. The model introduces a hybrid Mamba-Transformer Mixture-of-Experts architecture that combines the efficiency of state-space Mamba layers with the contextual understanding of transformer attention, allowing it to process long sequences and complex reasoning tasks with high accuracy and throughput. This architecture activates only a subset of model parameters for each token, improving computational efficiency while maintaining strong reasoning capabilities and enabling scalable inference for large workloads. Nemotron-3 Super contains roughly 120 billion parameters with around 12 billion active during inference, accelerating multi-step reasoning and collaborative agent interactions across large contexts.
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    Falcon

    Falcon

    Falcon

    Falcon is a blazing fast, minimalist Python web API framework for building robust app backends and microservices. The framework works great with both asyncio (ASGI) and gevent/meinheld (WSGI). The Falcon web framework encourages the REST architectural style. Resource classes implement HTTP method handlers that resolve requests and perform state transitions. Falcon complements more general Python web frameworks by providing extra reliability, flexibility, and performance wherever you need it. A number of Falcon add-ons, templates, and complementary packages are available for use in your projects. We've listed several of these on the Falcon wiki as a starting point, but you may also wish to search PyPI for additional resources.
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    Codestral Mamba
    As a tribute to Cleopatra, whose glorious destiny ended in tragic snake circumstances, we are proud to release Codestral Mamba, a Mamba2 language model specialized in code generation, available under an Apache 2.0 license. Codestral Mamba is another step in our effort to study and provide new architectures. It is available for free use, modification, and distribution, and we hope it will open new perspectives in architecture research. Mamba models offer the advantage of linear time inference and the theoretical ability to model sequences of infinite length. It allows users to engage with the model extensively with quick responses, irrespective of the input length. This efficiency is especially relevant for code productivity use cases, this is why we trained this model with advanced code and reasoning capabilities, enabling it to perform on par with SOTA transformer-based models.
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    Command A+

    Command A+

    Cohere AI

    Command A+ is Cohere’s fastest and most powerful language model yet, an open-source enterprise workhorse built for complex reasoning, multimodal and multilingual agentic tasks, and efficient private deployment. It is a sparse mixture-of-experts model with 218B total parameters and 25B active parameters, designed for high-performance agentic workflows with minimal compute overhead. Command A+ unifies capabilities from across the Command family into one scalable model, supporting text, image, reasoning, and tool use with a 128K input context, 64K max generation, and support for 48 languages. It is optimized for reasoning, agentic workflows, RAG, multilingual work, and multimodal document processing, with support for vLLM and Transformers. Compared with earlier Command A models, it improves enterprise workload performance across multimodal understanding, retrieval, long-horizon tasks, complex reasoning, coding, translation, and document understanding.
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    Qwen3.5

    Qwen3.5

    Alibaba

    Qwen3.5 is a next-generation open-weight multimodal large language model designed to power native vision-language agents. The flagship release, Qwen3.5-397B-A17B, combines a hybrid linear attention architecture with sparse mixture-of-experts, activating only 17 billion parameters per forward pass out of 397 billion total to maximize efficiency. It delivers strong benchmark performance across reasoning, coding, multilingual understanding, visual reasoning, and agent-based tasks. The model expands language support from 119 to 201 languages and dialects while introducing a 1M-token context window in its hosted version, Qwen3.5-Plus. Built for multimodal tasks, it processes text, images, and video with advanced spatial reasoning and tool integration. Qwen3.5 also incorporates scalable reinforcement learning environments to improve general agent capabilities. Designed for developers and enterprises, it enables efficient, tool-augmented, multimodal AI workflows.
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    Solar Pro 2

    Solar Pro 2

    Upstage AI

    Solar Pro 2 is Upstage’s latest frontier‑scale large language model, designed to power complex tasks and agent‑like workflows across domains such as finance, healthcare, and legal. Packaged in a compact 31 billion‑parameter architecture, it delivers top‑tier multilingual performance, especially in Korean, where it outperforms much larger models on benchmarks like Ko‑MMLU, Hae‑Rae, and Ko‑IFEval, while also excelling in English and Japanese. Beyond superior language understanding and generation, Solar Pro 2 offers next‑level intelligence through an advanced Reasoning Mode that significantly boosts multi‑step task accuracy on challenges ranging from general reasoning (MMLU, MMLU‑Pro, HumanEval) to complex mathematics (Math500, AIME) and software engineering (SWE‑Bench Agentless), achieving problem‑solving efficiency comparable to or exceeding that of models twice its size. Enhanced tool‑use capabilities enable the model to interact seamlessly with external APIs and data sources.
    Starting Price: $0.1 per 1M tokens
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    Seed1.8

    Seed1.8

    ByteDance

    Seed1.8 is ByteDance’s latest generalized agentic AI model designed to bridge understanding and real-world action by combining multimodal perception, agent-like task execution, and wide-ranging reasoning capabilities into a single foundation model that goes beyond simple language generation. It supports multimodal inputs, including text, images, and video, processes very large context windows (hundreds of thousands of tokens at once), and is optimized to handle complex workflows in real environments, such as information retrieval, code generation, GUI interaction, and multi-step decision logic, with efficient, accurate responses suitable for real-world applications. Seed1.8 unifies skills such as search, code understanding, visual context interpretation, and autonomous reasoning so developers and AI systems can build interactive agents and next-generation workflows capable of synthesizing evidence, following instructions deeply, and acting on tasks like automation.
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    Nemotron 3 Ultra
    Nemotron 3 Nano is a compact, open large language model in NVIDIA’s Nemotron 3 family, designed for efficient agentic reasoning, conversational AI, and coding tasks. It uses a hybrid Mixture-of-Experts Mamba-Transformer architecture that activates only a small subset of parameters per token, enabling low-latency inference while maintaining strong accuracy and reasoning performance. It has approximately 31.6 billion total parameters with around 3.2 billion active (3.6 billion including embeddings), allowing it to achieve higher accuracy than previous Nemotron 2 Nano while using less computation per forward pass. Nemotron 3 Nano supports long-context processing of up to one million tokens, enabling it to handle large documents, multi-step workflows, and extended reasoning chains in a single pass. It is designed for high-throughput, real-time execution, excelling in multi-turn conversations, tool calling, and agent-based workflows where tasks require planning, reasoning, and more.
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    Falcon Forensics

    Falcon Forensics

    CrowdStrike

    Falcon Forensics offers comprehensive data collection while performing triage analysis during an investigation. Forensic security often entails lengthy searches with numerous tools. Simplify your collection and analysis to one solution to speed triage. Incident responders can respond faster to investigations, conduct compromise assessments along with threat hunting and monitoring with Falcon Forensics. Pre-built dashboards, easy search, and view data capabilities empower analysts to search vast amounts of data, including historical artifacts, quickly. Falcon Forensics automates data collection and provides detailed information around an incident. Responders can tap into full threat context without lengthy queries or full disk image collections. Provides incident responders a single solution to analyze large quantities of data both historically and in real-time to uncover vital information to triage an incident.
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    Falcon Forms

    Falcon Forms

    Falcon Forms

    Digitize your day-to-day paperwork with Falcon Forms. Using Falcon Forms build and configure your own forms seamlessly in an instant tailored, and perfectly adapted to what your activity or business requires. Falcon Forms is perfectly adapted to what paper-based workflows require. This is an offline app where you don’t need any network connection to build templates or fill out forms. Falcon Forms is designed to cater reporting & documentation to almost all lines of work irrespective of domains. Falcon Forms also allows real-time collaboration by allowing sharing of the PDF files and Form Templates (JSON format) via email and third-party cloud storage providers like iCloud, Box, Dropbox, OneDrive, Adobe Creative Cloud, Google Drive, pCloud, Terabox and much more using the Files App (iOS).
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    Falcon X Recon

    Falcon X Recon

    CrowdStrike

    Falcon X Recon exposes digital risk by monitoring the hidden recesses of the internet where criminal actors congregate and underground economies thrive. Falcon X Recon provides real-time visibility to potential threats, reducing investigation time and improving efficiency and response. Take immediate action against digital risk on Day One — Falcon X Recon is built on the cloud-native CrowdStrike Falcon® Platform so there’s nothing to install, administer or deploy. Identify business, reputational and third-party risks emanating from leaked credentials, PII and financial data. View current and historical posts and chatter to track adversary activities and behavior that could pose a cyber or physical risk to your organization and personnel. Customize dashboards to enable users to see, at a glance, current notifications and quickly drill into critical alerts and activity for further research.
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    Sarvam-M

    Sarvam-M

    Sarvam

    Sarvam-M is a multilingual, hybrid-reasoning large language model designed to deliver strong performance across Indian languages, mathematical reasoning, and programming tasks within a single, efficient system. Built on top of Mistral-Small, it is a 24-billion-parameter text-only model that has been enhanced through supervised fine-tuning, reinforcement learning with verifiable rewards, and inference optimizations to improve both accuracy and efficiency. The model is specifically trained to handle more than ten major Indic languages, supporting native scripts, romanized text, and code-mixed inputs, enabling seamless multilingual communication across diverse linguistic contexts. Sarvam-M introduces a hybrid reasoning approach that allows it to switch between “thinking” mode for complex tasks like math, logic, and coding, and faster response mode for everyday interactions, balancing performance and speed.
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    Kimi K2.5

    Kimi K2.5

    Moonshot AI

    Kimi K2.5 is a next-generation multimodal AI model designed for advanced reasoning, coding, and visual understanding tasks. It features a native multimodal architecture that supports both text and visual inputs, enabling image and video comprehension alongside natural language processing. Kimi K2.5 delivers open-source state-of-the-art performance in agent workflows, software development, and general intelligence tasks. The model offers ultra-long context support with a 256K token window, making it suitable for large documents and complex conversations. It includes long-thinking capabilities that allow multi-step reasoning and tool invocation for solving challenging problems. Kimi K2.5 is fully compatible with the OpenAI API format, allowing developers to switch seamlessly with minimal changes. With strong performance, flexibility, and developer-focused tooling, Kimi K2.5 is built for production-grade AI applications.
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    UVI Falcon
    UVI Falcon is a comprehensive hybrid instrument that combines advanced sampling and synthesis capabilities within a semi-modular environment. It features 20 oscillator types, including virtual analog, wavetable, FM, additive, and granular synthesis, allowing for extensive sound design possibilities. With over 100 high-quality effects, users can apply various processing techniques such as reverb, delay, modulation, and filtering to enhance their sounds. Falcon's modulation system includes envelopes, LFOs, and step sequencers, enabling dynamic and evolving textures. The software also supports MIDI processing and scripting, providing tools for creating complex performances and custom instruments. Falcon's interface is adaptable, featuring a new browser for efficient preset management and an intuitive workflow for sound creation. It comes with a factory library of over 1,500 presets and offers expansion options through additional sound libraries.
    Starting Price: $299 one-time payment
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    CrowdStrike Falcon Adversary Intelligence
    CrowdStrike Falcon® Adversary Intelligence provides cutting-edge threat intelligence to help organizations proactively identify and mitigate cyber threats. With access to over 250 adversary profiles, dark web monitoring, and real-time threat intelligence, businesses can strengthen their defense and accelerate response times. This platform integrates seamlessly into existing security operations, offering automated threat modeling, sandbox analysis, and the ability to automate security workflows. CrowdStrike Falcon® empowers organizations to stay ahead of emerging threats with comprehensive insights into adversary tactics, techniques, and procedures.
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    Qwen3.6

    Qwen3.6

    Alibaba

    Qwen3.6 is a large language model developed by Alibaba as part of its Qwen AI model family, designed for real-world applications and advanced reasoning tasks. It focuses on improving stability, usability, and performance compared to earlier versions. The model supports multimodal capabilities, allowing it to process and reason across text, images, and other data types. Qwen3.6 is particularly strong in coding and developer workflows, offering improved accuracy for complex programming tasks. It uses a mixture-of-experts architecture, enabling efficient performance while maintaining large-scale model capabilities. The model is designed to be deployable in production environments, including enterprise and cloud-based systems. It can be integrated into applications or run locally using open-weight variants. Overall, Qwen3.6 delivers a powerful, efficient, and versatile AI solution for modern use cases.
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    Ling Studio

    Ling Studio

    Ant Group

    Ling Studio is Ant Ling’s online environment for exploring the infinite possibilities of AI and testing the core capabilities of the Ling model family. It gives users a direct place to try Ant Ling models before building with them through API access, making it easier to experience multi-turn reasoning, long-context processing, multimodal generation, and model behavior in a practical chat workspace. It connects to Ant Ling’s high-performance model family for text, coding, reasoning, and multimodal tasks. Ling models are general-purpose LLMs built on Mixture of Experts architecture, balancing high parameter scale with low activation cost and supporting conversation, text generation, and content creation. Ring models specialize in deep reasoning and cognitive capabilities, with strong performance in math, programming, and comprehensive reasoning benchmarks.
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    PaLM 2

    PaLM 2

    Google

    PaLM 2 is our next generation large language model that builds on Google’s legacy of breakthrough research in machine learning and responsible AI. It excels at advanced reasoning tasks, including code and math, classification and question answering, translation and multilingual proficiency, and natural language generation better than our previous state-of-the-art LLMs, including PaLM. It can accomplish these tasks because of the way it was built – bringing together compute-optimal scaling, an improved dataset mixture, and model architecture improvements. PaLM 2 is grounded in Google’s approach to building and deploying AI responsibly. It was evaluated rigorously for its potential harms and biases, capabilities and downstream uses in research and in-product applications. It’s being used in other state-of-the-art models, like Med-PaLM 2 and Sec-PaLM, and is powering generative AI features and tools at Google, like Bard and the PaLM API.
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    GLM-4.5V-Flash
    GLM-4.5V-Flash is an open source vision-language model, designed to bring strong multimodal capabilities into a lightweight, deployable package. It supports image, video, document, and GUI inputs, enabling tasks such as scene understanding, chart and document parsing, screen reading, and multi-image analysis. Compared to larger models in the series, GLM-4.5V-Flash offers a compact footprint while retaining core VLM capabilities like visual reasoning, video understanding, GUI task handling, and complex document parsing. It can serve in “GUI agent” workflows, meaning it can interpret screenshots or desktop captures, recognize icons or UI elements, and assist with automated desktop or web-based tasks. Although it forgoes some of the largest-model performance gains, GLM-4.5V-Flash remains versatile for real-world multimodal tasks where efficiency, lower resource usage, and broad modality support are prioritized.
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    Falcon

    Falcon

    Nordantech Solutions

    No matter how many initiatives, measures, or ideas you track in your business transformation, Falcon keeps them all together and helps you plan, measure and report at your fingertips. The chaos finally comes to an end! Falcon shows you all strategic measures at a glance. Never again will your strategy projects be scattered in different lists, emails, and reports. Falcon combines all schedules, budgets, and status reports and aggregates them automatically. So you can keep an eye on the big picture and trust that your strategy is delivered. Work with your team on your truly important initiatives, relaxed, in real-time, and from anywhere. Divide your strategy projects into manageable packages and define responsibilities. Falcon's simple tree structure makes this complex task a breeze. With numerous templates, your implementation strategy is ready in no time. Keep milestones and financial effects of your strategic projects always under control.
    Starting Price: €19.87 per month
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    Gemini Pro
    Gemini Pro is a powerful multimodal AI model developed by Google as part of the broader Gemini family of large language models. It is designed to handle a wide range of tasks, including text generation, reasoning, coding, and data analysis. The model can process multiple types of input such as text, images, audio, and video, making it highly versatile for real-world applications. Gemini Pro is optimized for delivering accurate, context-aware responses across complex workflows. It integrates seamlessly with Google products and cloud services, enabling scalable AI-powered applications. The model is commonly used for tasks like content creation, summarization, and conversational AI. It balances performance and efficiency, making it suitable for both developers and enterprise users. Overall, it serves as a robust foundation for building intelligent AI-driven solutions.
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    Falcon-7B

    Falcon-7B

    Technology Innovation Institute (TII)

    Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license. Why use Falcon-7B? It outperforms comparable open-source models (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. See the OpenLLM Leaderboard. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions.
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    Magistral

    Magistral

    Mistral AI

    Magistral is Mistral AI’s first reasoning‑focused language model family, released in two sizes: Magistral Small, a 24 B‑parameter open‑weight model under Apache 2.0 (downloadable on Hugging Face), and Magistral Medium, a more capable enterprise version available via Mistral’s API, Le Chat platform, and major cloud marketplaces. Built for domain‑specific, transparent, multilingual reasoning across tasks like math, physics, structured calculations, programmatic logic, decision trees, and rule‑based systems, Magistral produces chain‑of‑thought outputs in the user’s language that you can follow and verify. This launch marks a shift toward compact yet powerful transparent AI reasoning. Magistral Medium is currently available in preview on Le Chat, the API, SageMaker, WatsonX, Azure AI, and Google Cloud Marketplace. Magistral is ideal for general-purpose use requiring longer thought processing and better accuracy than with non-reasoning LLMs.
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    Qwen3.5-Plus
    Qwen3.5-Plus is a high-performance native vision-language model designed for efficient text generation, deep reasoning, and multimodal understanding. Built on a hybrid architecture that combines linear attention with a sparse mixture-of-experts design, it delivers strong performance while optimizing inference efficiency. The model supports text, image, and video inputs and produces text outputs, making it suitable for complex multimodal workflows. With a massive 1 million token context window and up to 64K output tokens, Qwen3.5-Plus enables long-form reasoning and large-scale document analysis. It includes advanced capabilities such as structured outputs, function calling, web search, and tool integration via the Responses API. The model supports prefix continuation, caching, batch processing, and fine-tuning for flexible deployment. Designed for developers and enterprises, Qwen3.5-Plus provides scalable, high-throughput AI performance with OpenAI-compatible API access.
    Starting Price: $0.4 per 1M tokens
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    Inception Labs

    Inception Labs

    Inception Labs

    Inception Labs is pioneering the next generation of AI with diffusion-based large language models (dLLMs), a breakthrough in AI that offers 10x faster performance and 5-10x lower cost than traditional autoregressive models. Inspired by the success of diffusion models in image and video generation, Inception’s dLLMs introduce enhanced reasoning, error correction, and multimodal capabilities, allowing for more structured and accurate text generation. With applications spanning enterprise AI, research, and content generation, Inception’s approach sets a new standard for speed, efficiency, and control in AI-driven workflows.
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    TMS FALCON

    TMS FALCON

    Optidata

    Transport planning, monitoring, settlement and analysis of transport processes have never been more effective. TMS FALCON ® is an IT system of the TMS class , which is an expert in reducing costs in the field of transport management. The extended price lists function allows you to choose the cheapest carrier and negotiate prices, which is why you will estimate transport costs at the planning stage. Thanks to the notification of transport in TMS FALCON ® you will increase the level of service for transport companies, you will be able to monitor the delivery of goods and you will reduce unnecessary downtime. The TMS FALCON ® system as an advanced transport management program contains a lot of functionalities that help in effective control over drivers, vehicle fleets and transport service providers.
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    Candidate Falcon

    Candidate Falcon

    Candidate Falcon

    Candidate Falcon is a specialized job assessment preparation platform designed to help candidates succeed in modern hiring processes. Instead of offering generic career advice, Candidate Falcon focuses on the specific assessment formats that employers increasingly use, including game-based assessments and one-way video interviews. The platform provides realistic practice simulations, platform-specific preparation tools, expert guidance, and AI-powered feedback to help users understand exactly what to expect before their assessment. Candidates can prepare for formats used by leading providers such as HireVue, SparkHire, Talview, and VidCruiter, as well as a wide range of HireVue game-based assessments. Built around the idea that many candidates fail simply because they are unfamiliar with the format, Candidate Falcon helps users gain confidence, improve performance, and reduce uncertainty by practicing in environments that closely mirror real assessments.
    Starting Price: $12.99
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    Falcon Cloud Workload Protection
    Falcon Cloud Workload Protection provides complete visibility into workload and container events and instance metadata enabling faster and more accurate detection, response, threat hunting and investigation, to ensure that nothing goes unseen in your cloud environment. Falcon Cloud Workload Protection secures your entire cloud-native stack, on any cloud, across all workloads, containers and Kubernetes applications. Automate security and detect and stop suspicious activity, zero-day attacks, risky behavior to stay ahead of threats and reduce the attack surface. Falcon Cloud Workload Protection key integrations support continuous integration/continuous delivery (CI/CD) workflows allowing you to secure workloads at the speed of DevOps without sacrificing performance
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    Falcon Firewall Management
    Falcon Firewall Management makes it easy to create, manage and enforce policies with a simple, centralized approach. Defend against network threats, and gain instant visibility to enhance protection and inform action.Delivered via the same lightweight Falcon agent, management console and cloud-native architecture, it deploys and is operational in minutes. Simplifies operations by using the same lightweight Falcon agent, management console and cloud-native architecture. Deploys and is operational in minutes without requiring reboots, fine-tuning or complex configuration. Streamlines workflows and increases visibility across endpoint security controls due to the single management console for both endpoint protection and host firewall management. Automatically identify and view specific activities, potential threats and network anomalies.
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    Mistral Large 2
    Mistral AI has launched the Mistral Large 2, an advanced AI model designed to excel in code generation, multilingual capabilities, and complex reasoning tasks. The model features a 128k context window, supporting dozens of languages including English, French, Spanish, and Arabic, as well as over 80 programming languages. Mistral Large 2 is tailored for high-throughput single-node inference, making it ideal for large-context applications. Its improved performance on benchmarks like MMLU and its enhanced code generation and reasoning abilities ensure accuracy and efficiency. The model also incorporates better function calling and retrieval, supporting complex business applications.
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    Falcon Spotlight

    Falcon Spotlight

    CrowdStrike

    Falcon Spotlight provides real-time visibility across your enterprise — giving you the relevant and timely information you need to reduce your exposure to attacks with zero impact on your endpoints. As part of an integrated platform that prevents exploits and post-exploit activity, Falcon Spotlight™ allows you to research common vulnerabilities and exposures (CVEs) to examine threat actor profiles and targets. Spotlight utilizes scanless technology, delivering an always-on, automated vulnerability management solution with prioritized data in real-time. It eliminates bulky, dated reports with its fast, intuitive dashboard. The cloud-native CrowdStrike Falcon® platform and single lightweight agent collect data once and reuse it many times. As a result, Spotlight requires no additional agents, hardware, scanners or credentials — simply turn on and go.
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    FalconTune

    FalconTune

    IMB Controls

    FalconTune© is a PID loop-tuning software for distributed control systems (DCS) and programmable logic controllers (PLC). Detailed description of the software is available upon request. FalconTune© is currently optimized for Yokogawa DCS© but will work with any DCS or PLC through the OPC communication protocol. A range of available licenses provides flexibility to the end-users. Yearly and perpetual, as well as workplace-based and site-wide licenses are available. IMB Controls Inc. performs research and development in process control. IMB has developed FalconTune, which is an automated PID loop tuning software. IMB Controls was founded by Dr. Igor Boiko, who is a leading researcher in the field of control systems. Dr. Igor Boiko is currently a Professor of Electrical Engineering at the Petroleum Institute (PI) in Abu Dhabi.
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    CrowdStrike Falcon Exposure Management
    CrowdStrike Falcon Exposure Management is an attack surface management platform delivering autonomous, 24/7 discovery of exposed assets across all environments and the supply chain. Leading enterprises worldwide use CrowdStrike Falcon Exposure Management to gain unparalleled visibility of their internet-facing assets and actionable security insights for eliminating shadow IT risks. CrowdStrike Falcon Exposure Management's proprietary technology maps the world's internet exposed assets in real-time. Cutting edge ML classification and association engines analyze all the assets and automatically create your complete inventory. CrowdStrike EASM stands out with its deep adversary intelligence, allowing for precise risk prioritization. Understand threats from an attacker’s perspective and act quickly to secure your assets.
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    Seed2.0 Lite

    Seed2.0 Lite

    ByteDance

    Seed2.0 Lite is part of ByteDance’s Seed2.0 family of general-purpose multimodal AI agent models designed to handle complex, real-world tasks with a balanced focus on performance and efficiency. It offers enhanced multimodal understanding and instruction-following capabilities compared with earlier Seed models, enabling it to process and reason about text, visual elements, and structured information reliably for production-grade applications. As a mid-sized model in the series, Lite is optimized to deliver good quality outputs with responsive performance at lower cost and faster inference than the Pro variant while surpassing the previous generation’s capabilities, making it suitable for workflows that require stable reasoning, long-context understanding, and multimodal task execution without needing the highest possible raw performance.
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    Sarvam 30B
    Sarvam-30B is an open source, next-generation large language model designed as a unified system for both real-time conversational AI and deep reasoning workloads, built with a strong focus on multilingual intelligence and practical deployment. The 30B model is optimized for speed and efficiency, using a Mixture-of-Experts (MoE) architecture that activates only a subset of parameters per request, enabling high throughput, low latency, and deployment even in resource-constrained environments such as local machines or edge systems. It delivers strong performance in conversational tasks, coding, and reasoning while achieving state-of-the-art results across more than 20 Indian languages, making it highly effective for multilingual applications and voice-based systems. It represents a dual-tier architecture, a fast, deployable “conversational workhorse”, leveraging MoE designs to reduce compute cost while maintaining high performance.
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    GLM-4.7-Flash
    GLM-4.7 Flash is a lightweight variant of GLM-4.7, Z.ai’s flagship large language model designed for advanced coding, reasoning, and multi-step task execution with strong agentic performance and a very large context window. It is an MoE-based model optimized for efficient inference that balances performance and resource use, enabling deployment on local machines with moderate memory requirements while maintaining deep reasoning, coding, and agentic task abilities. GLM-4.7 itself advances over earlier generations with enhanced programming capabilities, stable multi-step reasoning, context preservation across turns, and improved tool-calling workflows, and supports very long context lengths (up to ~200 K tokens) for complex tasks that span large inputs or outputs. The Flash variant retains many of these strengths in a smaller footprint, offering competitive benchmark performance in coding and reasoning tasks for models in its size class.
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    Uni-1

    Uni-1

    Luma AI

    UNI-1 is a multimodal artificial intelligence model developed by Luma AI that unifies visual generation and reasoning capabilities within a single architecture, representing a step toward multimodal general intelligence. It was designed to overcome the limitations of traditional AI pipelines, where language models, image generators, and other systems operate independently without shared reasoning. UNI-1 integrates these capabilities so that language, visual understanding, and image generation work together inside one system, allowing the model to reason about scenes, interpret instructions, and generate visual outputs that follow logical and spatial constraints. At its core, UNI-1 is a decoder-only autoregressive transformer that processes text and images as a single interleaved sequence of tokens, enabling the model to treat language and visual information within the same computational framework rather than through separate encoders.
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    Cohere

    Cohere

    Cohere AI

    Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.
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    Step 3.5 Flash
    Step 3.5 Flash is an advanced open source foundation language model engineered for frontier reasoning and agentic capabilities with exceptional efficiency, built on a sparse Mixture of Experts (MoE) architecture that selectively activates only about 11 billion of its ~196 billion parameters per token to deliver high-density intelligence and real-time responsiveness. Its 3-way Multi-Token Prediction (MTP-3) enables generation throughput in the hundreds of tokens per second for complex multi-step reasoning chains and task execution, and it supports efficient long contexts with a hybrid sliding window attention approach that reduces computational overhead across large datasets or codebases. It demonstrates robust performance on benchmarks for reasoning, coding, and agentic tasks, rivaling or exceeding many larger proprietary models, and includes a scalable reinforcement learning framework for consistent self-improvement.
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    Falcon Horizon CSPM
    Falcon Horizon delivers continuous agentless discovery and visibility of cloud-native assets from the host to the cloud, providing valuable context and insights into the overall security posture and the actions required to prevent potential security incidents. Falcon Horizon provides intelligent agentless monitoring of cloud resources to detect misconfigurations, vulnerabilities and security threats, along with guided remediation to resolve security risks and enable developers with guardrails to avoid costly mistakes. Falcon Horizon’s adversary-focused approach provides real-time threat intelligence on 150+ adversary groups, 50+ IOA detections and guided remediation that improves investigation speed by up to 88%, enabling teams to respond faster and stop breaches. Get up and running in minutes and access a single source of truth for all cloud assets and security configurations across multi- cloud environments and accounts.
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    Sarvam 105B
    Sarvam-105B is the flagship large language model in Sarvam’s open source model family, designed to deliver high-performance reasoning, multilingual understanding, and agent-based execution within a single scalable system. Built as a Mixture-of-Experts (MoE) model with approximately 105 billion total parameters, of which only a fraction are activated per token, it achieves strong computational efficiency while maintaining high capability across complex tasks. The model is optimized for advanced reasoning, coding, mathematics, and agentic workflows, making it suitable for tasks that require multi-step problem solving and structured outputs rather than simple conversational responses. Sarvam-105B supports long-context processing of up to around 128K tokens, enabling it to handle large documents, extended conversations, and deep analytical queries without losing coherence.
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    FalconMetrics

    FalconMetrics

    FalconMetrics

    FalconMetrics is a mobile attribution and analytics software built around its FalconTrack™ technology that delivers real, first-party data matching from ad clicks through installs while staying compliant with privacy frameworks like Apple’s ATT and SKAdNetwork, letting you know exactly which ads drive conversions without inconsistent dashboards or hidden complexity. It offers lightweight SDKs for Android, iOS, and Flutter that integrate directly with ad platforms and app events, enabling real-time insights and optimization inside native ad dashboards, and supports event and conversion tracking such as sign-ups, purchases, and other user actions with privacy-aware options for IP and identifier handling. FalconMetrics is designed with a Flutter-first approach, providing fast setup, efficient performance, and cross-platform support from a single codebase. It emphasizes transparent, simple integration with major ad networks like Meta and aims to capture all meaningful conversions.
    Starting Price: $0.05 per conversation
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    FalconStor

    FalconStor

    FalconStor Software

    FalconStor is a trusted data protection innovator with over an Exabyte of data under management, enabling the world’s most demanding enterprises to modernize their data backup and archival operations across data centers and public clouds. The company delivers increased data security and provides the fast recovery from ransomware attack while driving down costs by up to 90 percent. FalconStor is trusted by 1,000 customers and a network of partners around the world.