Alternatives to Falcon-40B

Compare Falcon-40B alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Falcon-40B in 2026. Compare features, ratings, user reviews, pricing, and more from Falcon-40B 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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    Alpaca

    Alpaca

    Stanford Center for Research on Foundation Models (CRFM)

    Instruction-following models such as GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have become increasingly powerful. Many users now interact with these models regularly and even use them for work. However, despite their widespread deployment, instruction-following models still have many deficiencies: they can generate false information, propagate social stereotypes, and produce toxic language. To make maximum progress on addressing these pressing problems, it is important for the academic community to engage. Unfortunately, doing research on instruction-following models in academia has been difficult, as there is no easily accessible model that comes close in capabilities to closed-source models such as OpenAI’s text-DaVinci-003. We are releasing our findings about an instruction-following language model, dubbed Alpaca, which is fine-tuned from Meta’s LLaMA 7B model.
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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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    MPT-7B

    MPT-7B

    MosaicML

    Introducing MPT-7B, the latest entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention at a cost of ~$200k. Now you can train, finetune, and deploy your own private MPT models, either starting from one of our checkpoints or training from scratch. For inspiration, we are also releasing three finetuned models in addition to the base MPT-7B: MPT-7B-Instruct, MPT-7B-Chat, and MPT-7B-StoryWriter-65k+, the last of which uses a context length of 65k tokens!
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    Llama 2
    The next generation of our open source large language model. This release includes model weights and starting code for pretrained and fine-tuned Llama language models — ranging from 7B to 70B parameters. Llama 2 pretrained models are trained on 2 trillion tokens, and have double the context length than Llama 1. Its fine-tuned models have been trained on over 1 million human annotations. Llama 2 outperforms other open source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests. Llama 2 was pretrained on publicly available online data sources. The fine-tuned model, Llama-2-chat, leverages publicly available instruction datasets and over 1 million human annotations. We have a broad range of supporters around the world who believe in our open approach to today’s AI — companies that have given early feedback and are excited to build with Llama 2.
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    LTM-1

    LTM-1

    Magic AI

    Magic’s LTM-1 enables 50x larger context windows than transformers. Magic's trained a Large Language Model (LLM) that’s able to take in the gigantic amounts of context when generating suggestions. For our coding assistant, this means Magic can now see your entire repository of code. Larger context windows can allow AI models to reference more explicit, factual information and their own action history. We hope to be able to utilize this research to improve reliability and coherence.
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    OpenLLaMA

    OpenLLaMA

    OpenLLaMA

    OpenLLaMA is a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset. Our model weights can serve as the drop in replacement of LLaMA 7B in existing implementations. We also provide a smaller 3B variant of LLaMA model.
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    MosaicML

    MosaicML

    MosaicML

    Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest, orchestration, efficiency, node failures, and infrastructure. Simple and scalable. MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment. Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team. With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, and continue on another, without skipping a beat. Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs. Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud-agnostic, and enterprise proved.
  • 9
    Vicuna

    Vicuna

    lmsys.org

    Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. The code and weights, along with an online demo, are publicly available for non-commercial use.
  • 10
    RedPajama

    RedPajama

    RedPajama

    Foundation models such as GPT-4 have driven rapid improvement in AI. However, the most powerful models are closed commercial models or only partially open. RedPajama is a project to create a set of leading, fully open-source models. Today, we are excited to announce the completion of the first step of this project: the reproduction of the LLaMA training dataset of over 1.2 trillion tokens. The most capable foundation models today are closed behind commercial APIs, which limits research, customization, and their use with sensitive data. Fully open-source models hold the promise of removing these limitations, if the open community can close the quality gap between open and closed models. Recently, there has been much progress along this front. In many ways, AI is having its Linux moment. Stable Diffusion showed that open-source can not only rival the quality of commercial offerings like DALL-E but can also lead to incredible creativity from broad participation by communities.
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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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    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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    Mixtral 8x7B

    Mixtral 8x7B

    Mistral AI

    Mixtral 8x7B is a high-quality sparse mixture of experts model (SMoE) with open weights. Licensed under Apache 2.0. Mixtral outperforms Llama 2 70B on most benchmarks with 6x faster inference. It is the strongest open-weight model with a permissive license and the best model overall regarding cost/performance trade-offs. In particular, it matches or outperforms GPT-3.5 on most standard benchmarks.
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    Mistral 7B

    Mistral 7B

    Mistral AI

    Mistral 7B is a 7.3-billion-parameter language model that outperforms larger models like Llama 2 13B across various benchmarks. It employs Grouped-Query Attention (GQA) for faster inference and Sliding Window Attention (SWA) to efficiently handle longer sequences. Released under the Apache 2.0 license, Mistral 7B is accessible for deployment across diverse platforms, including local environments and major cloud services. Additionally, a fine-tuned version, Mistral 7B Instruct, demonstrates enhanced performance in instruction-following tasks, surpassing models like Llama 2 13B Chat.
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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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    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.
  • 18
    Falcon Chat
    Falcon LLM is a state-of-the-art open source large language model family developed by the Technology Innovation Institute (TII) that delivers advanced generative AI capabilities for natural language understanding, reasoning, and content generation across diverse applications. Built with hybrid Transformer and Mamba architectures, Falcon models span a range of sizes from compact 7B models with strong reasoning performance to large models like Falcon 180B that rival leading AI systems, making them efficient, scalable, and suitable for real-world tasks including text generation, translation, summarization, sentiment analysis, and chat-style conversational agents. It supports multilingual and multimodal use, handling multiple languages and data types, and integrates capabilities for long context processing, coding, logic, and math reasoning while remaining efficient even on resource-limited environments.
  • 19
    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
  • 20
    Mistral NeMo

    Mistral NeMo

    Mistral AI

    Mistral NeMo, our new best small model. A state-of-the-art 12B model with 128k context length, and released under the Apache 2.0 license. Mistral NeMo is a 12B model built in collaboration with NVIDIA. Mistral NeMo offers a large context window of up to 128k tokens. Its reasoning, world knowledge, and coding accuracy are state-of-the-art in its size category. As it relies on standard architecture, Mistral NeMo is easy to use and a drop-in replacement in any system using Mistral 7B. We have released pre-trained base and instruction-tuned checkpoints under the Apache 2.0 license to promote adoption for researchers and enterprises. Mistral NeMo was trained with quantization awareness, enabling FP8 inference without any performance loss. The model is designed for global, multilingual applications. It is trained on function calling and has a large context window. Compared to Mistral 7B, it is much better at following precise instructions, reasoning, and handling multi-turn conversations.
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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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    Teuken 7B

    Teuken 7B

    OpenGPT-X

    Teuken-7B is a multilingual, open source language model developed under the OpenGPT-X initiative, specifically designed to cater to Europe's diverse linguistic landscape. It has been trained on a dataset comprising over 50% non-English texts, encompassing all 24 official languages of the European Union, ensuring robust performance across these languages. A key innovation in Teuken-7B is its custom multilingual tokenizer, optimized for European languages, which enhances training efficiency and reduces inference costs compared to standard monolingual tokenizers. The model is available in two versions, Teuken-7B-Base, the foundational pre-trained model, and Teuken-7B-Instruct, which has undergone instruction tuning for improved performance in following user prompts. Both versions are accessible on Hugging Face, promoting transparency and collaboration within the AI community. The development of Teuken-7B underscores a commitment to creating AI models that reflect Europe's diversity.
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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.
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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.
  • 25
    fullmoon

    fullmoon

    fullmoon

    Fullmoon is a free, open source application that enables users to interact with large language models directly on their devices, ensuring privacy and offline accessibility. Optimized for Apple silicon, it operates seamlessly across iOS, iPadOS, macOS, and visionOS platforms. Users can personalize the app by adjusting themes, fonts, and system prompts, and it integrates with Apple's Shortcuts for enhanced functionality. Fullmoon supports models like Llama-3.2-1B-Instruct-4bit and Llama-3.2-3B-Instruct-4bit, facilitating efficient on-device AI interactions without the need for an internet connection.
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    LongLLaMA

    LongLLaMA

    LongLLaMA

    This repository contains the research preview of LongLLaMA, a large language model capable of handling long contexts of 256k tokens or even more. LongLLaMA is built upon the foundation of OpenLLaMA and fine-tuned using the Focused Transformer (FoT) method. LongLLaMA code is built upon the foundation of Code Llama. We release a smaller 3B base variant (not instruction tuned) of the LongLLaMA model on a permissive license (Apache 2.0) and inference code supporting longer contexts on hugging face. Our model weights can serve as the drop-in replacement of LLaMA in existing implementations (for short context up to 2048 tokens). Additionally, we provide evaluation results and comparisons against the original OpenLLaMA models.
  • 27
    Qwen2.5-1M

    Qwen2.5-1M

    Alibaba

    Qwen2.5-1M is an open-source language model developed by the Qwen team, designed to handle context lengths of up to one million tokens. This release includes two model variants, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, marking the first time Qwen models have been upgraded to support such extensive context lengths. To facilitate efficient deployment, the team has also open-sourced an inference framework based on vLLM, integrated with sparse attention methods, enabling processing of 1M-token inputs with a 3x to 7x speed improvement. Comprehensive technical details, including design insights and ablation experiments, are available in the accompanying technical report.
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    Mistral Small 3.1
    ​Mistral Small 3.1 is a state-of-the-art, multimodal, and multilingual AI model released under the Apache 2.0 license. Building upon Mistral Small 3, this enhanced version offers improved text performance, and advanced multimodal understanding, and supports an expanded context window of up to 128,000 tokens. It outperforms comparable models like Gemma 3 and GPT-4o Mini, delivering inference speeds of 150 tokens per second. Designed for versatility, Mistral Small 3.1 excels in tasks such as instruction following, conversational assistance, image understanding, and function calling, making it suitable for both enterprise and consumer-grade AI applications. Its lightweight architecture allows it to run efficiently on a single RTX 4090 or a Mac with 32GB RAM, facilitating on-device deployments. It is available for download on Hugging Face, accessible via Mistral AI's developer playground, and integrated into platforms likeGemini Enterprise Agent Platform, with availability on NVIDIA NIM.
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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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    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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    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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    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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    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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    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 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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    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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    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.
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    Falcon Identity Threat Detection
    Falcon Identity Threat Detection lets you see all Service and Privileged accounts on your network and cloud with full credential profiles and weak authentication discovery across every domain. Analyze every domain in your organization for potential vulnerability from stale credentials, and weak or stale passwords, see all service connections and weak authentication protocols in use. Falcon Identity Threat Detection monitors the domain controllers on-premises or in the cloud (via API) to see all authentication traffic. It creates a baseline for all entities and compares behavior against unusual lateral movement, Golden Ticket attacks, Mimikatz traffic patterns and other related threats. It can help you see Escalation of Privilege and anomalous Service Account activity. Falcon Identity Threat Detection reduces the time to detect by viewing live authentication traffic, which expedites finding and resolving incidents.
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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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    Falcon Discover

    Falcon Discover

    CrowdStrike

    Falcon Discover allows you to quickly identify and eliminate malicious or noncompliant activity by providing unmatched real-time visibility into the devices, users and applications in your network. Monitor everything from one convenient, powerful dashboard, and quickly dive in to explore applications, accounts and assets using real-time and historical data. Get contextual information for all of your systems instantly, utilizing dashboards, graphs, charts and search functionality to drill down into supporting data. Leverage the single lightweight CrowdStrike Falcon® agent to keep your systems and users free to do their jobs. Understand all applications running in your environment, and search to see versions, hosts and users. Manage non-compliance and license costs by tracking application usage. Monitor asset inventory to help achieve, maintain and prove compliance requirements.
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    OPT

    OPT

    Meta

    Large language models, which are often trained for hundreds of thousands of compute days, have shown remarkable capabilities for zero- and few-shot learning. Given their computational cost, these models are difficult to replicate without significant capital. For the few that are available through APIs, no access is granted to the full model weights, making them difficult to study. We present Open Pre-trained Transformers (OPT), a suite of decoder-only pre-trained transformers ranging from 125M to 175B parameters, which we aim to fully and responsibly share with interested researchers. We show that OPT-175B is comparable to GPT-3, while requiring only 1/7th the carbon footprint to develop. We are also releasing our logbook detailing the infrastructure challenges we faced, along with code for experimenting with all of the released models.
  • 43
    Mistral Large 3
    Mistral Large 3 is a next-generation, open multimodal AI model built with a powerful sparse Mixture-of-Experts architecture featuring 41B active parameters out of 675B total. Designed from scratch on NVIDIA H200 GPUs, it delivers frontier-level reasoning, multilingual performance, and advanced image understanding while remaining fully open-weight under the Apache 2.0 license. The model achieves top-tier results on modern instruction benchmarks, positioning it among the strongest permissively licensed foundation models available today. With native support across vLLM, TensorRT-LLM, and major cloud providers, Mistral Large 3 offers exceptional accessibility and performance efficiency. Its design enables enterprise-grade customization, letting teams fine-tune or adapt the model for domain-specific workflows and proprietary applications. Mistral Large 3 represents a major advancement in open AI, offering frontier intelligence without sacrificing transparency or control.
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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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    FalconEAM

    FalconEAM

    Inventrax

    FalconEAM or Computerized Maintenance Management System (CMMS Software) is a flexible enterprise-grade asset management system, that provides a clear view of an organization's asset infrastructure, its availability, health, productivity, periodic and preventive maintenance history, and maintenance plans. FalconEAM improves asset performance by eliminating unplanned downtime and extends the useful life of capital equipment, thus improving return on assets. Periodic, cyclic, and reactive maintenance jobs are scheduled and assigned to the operators. Plugging with Industrial IoT (Industry 4.0) sensors and predictive analytics, it provides preventive maintenance alerts. It facilitates to the management of assets at multiple business units/sites while still having one clear view of the entire asset infrastructure within its operating context. It supports geo-tagging and periodic audit updates to validate the asset availability at the location assigned.
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    Solar Mini

    Solar Mini

    Upstage AI

    Solar Mini is a pre‑trained large language model that delivers GPT‑3.5‑comparable responses with 2.5× faster inference while staying under 30 billion parameters. It achieved first place on the Hugging Face Open LLM Leaderboard in December 2023 by combining a 32‑layer Llama 2 architecture, initialized with high‑quality Mistral 7B weights, with an innovative “depth up‑scaling” (DUS) approach that deepens the model efficiently without adding complex modules. After DUS, continued pretraining restores and enhances performance, and instruction tuning in a QA format, especially for Korean, refines its ability to follow user prompts, while alignment tuning ensures its outputs meet human or advanced AI preferences. Solar Mini outperforms competitors such as Llama 2, Mistral 7B, Ko‑Alpaca, and KULLM across a variety of benchmarks, proving that compact size need not sacrifice capability.
    Starting Price: $0.1 per 1M tokens
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    IBM Granite
    IBM® Granite™ is a family of artificial intelligence (AI) models purpose-built for business, engineered from scratch to help ensure trust and scalability in AI-driven applications. Open source Granite models are available today. We make AI as accessible as possible for as many developers as possible. That’s why we have open-sourced core Granite Code, Time Series, Language, and GeoSpatial models and made them available on Hugging Face under permissive Apache 2.0 license that enables broad, unencumbered commercial usage. All Granite models are trained on carefully curated data, with industry-leading levels of transparency about the data that went into them. We have also open-sourced the tools we use to ensure the data is high quality and up to the standards that enterprise-grade applications demand.
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    GPT-J

    GPT-J

    EleutherAI

    GPT-J is a cutting-edge language model created by the research organization EleutherAI. In terms of performance, GPT-J exhibits a level of proficiency comparable to that of OpenAI's renowned GPT-3 model in a range of zero-shot tasks. Notably, GPT-J has demonstrated the ability to surpass GPT-3 in tasks related to generating code. The latest iteration of this language model, known as GPT-J-6B, is built upon a linguistic dataset referred to as The Pile. This dataset, which is publicly available, encompasses a substantial volume of 825 gibibytes of language data, organized into 22 distinct subsets. While GPT-J shares certain capabilities with ChatGPT, it is important to note that GPT-J is not designed to operate as a chatbot; rather, its primary function is to predict text. In a significant development in March 2023, Databricks introduced Dolly, a model that follows instructions and is licensed under Apache.
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    Falcon XDR

    Falcon XDR

    CrowdStrike

    Supercharge detection and response across your security stack with Falcon XDR. With industry-leading endpoint protection at its core, Falcon XDR synthesizes multi-domain telemetry to provide security teams with one unified, threat-centric command console. Take EDR to the next level with consolidated, multi-platform telemetry that dramatically enhances threat correlation and speeds response times against sophisticated attacks. Accelerate threat analysis and hunting by transforming previously siloed, disconnected data into strong, cross-platform attack indicators, insights, and alerts. Turn XDR insight into orchestrated action. Empower security teams to design and automate multi-stage, multi-platform response workflows for surgical, full-stack remediation.
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    Orpheus TTS

    Orpheus TTS

    Canopy Labs

    Canopy Labs has introduced Orpheus, a family of state-of-the-art speech large language models (LLMs) designed for human-level speech generation. These models are built on the Llama-3 architecture and are trained on over 100,000 hours of English speech data, enabling them to produce natural intonation, emotion, and rhythm that surpasses current state-of-the-art closed source models. Orpheus supports zero-shot voice cloning, allowing users to replicate voices without prior fine-tuning, and offers guided emotion and intonation control through simple tags. The models achieve low latency, with approximately 200ms streaming latency for real-time applications, reducible to around 100ms with input streaming. Canopy Labs has released both pre-trained and fine-tuned 3B-parameter models under the permissive Apache 2.0 license, with plans to release smaller models of 1B, 400M, and 150M parameters for use on resource-constrained devices.