Alternatives to Koa

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

  • 1
    GLM-5.3
    GLM-5.3 is Z.ai’s frontier coding model designed for complex software engineering, long-horizon agent tasks, and advanced post-training research. The model uses the same base model as GLM-5.2, with improvements coming from scaled post-training across more environments, more diverse tasks, and larger compute investment. GLM-5.3 delivers stronger coding performance, better task ownership, improved benchmark results, and greater efficiency across realistic development workflows. It is built to handle complex coding tasks, production-style engineering work, research environments, automation tasks, and agentic workflows that require multi-step execution. The model also shows emergent cyber capabilities in vulnerability discovery and exploitation-chain reasoning, with safety evaluation and hardening planned before open-weight release.
    1 Rating
    Starting Price: Free
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  • 2
    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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  • 3
    NVIDIA Llama Nemotron
    ​NVIDIA Llama Nemotron is a family of advanced language models optimized for reasoning and a diverse set of agentic AI tasks. These models excel in graduate-level scientific reasoning, advanced mathematics, coding, instruction following, and tool calls. Designed for deployment across various platforms, from data centers to PCs, they offer the flexibility to toggle reasoning capabilities on or off, reducing inference costs when deep reasoning isn't required. The Llama Nemotron family includes models tailored for different deployment needs. Built upon Llama models and enhanced by NVIDIA through post-training, these models demonstrate improved accuracy, up to 20% over base models, and optimized inference speeds, achieving up to five times the performance of other leading open reasoning models. This efficiency enables handling more complex reasoning tasks, enhances decision-making capabilities, and reduces operational costs for enterprises. ​
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  • 4
    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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  • 5
    Nemotron 3
    NVIDIA Nemotron 3 is a family of open large language models developed by NVIDIA to power advanced reasoning, conversational AI, and autonomous AI agents. The Nemotron 3 series includes three models designed for different scales of AI workloads while maintaining high efficiency and accuracy. These models focus on “agentic AI” capabilities, meaning they can perform multi-step reasoning, coordinate with tools, and operate as components within multi-agent systems used in automation, research, and enterprise applications. The architecture uses a hybrid mixture-of-experts (MoE) design combined with transformer-based techniques, allowing the model to activate only a subset of parameters for each task, which improves performance while reducing computational cost. Nemotron 3 models are built to deliver strong reasoning, conversational, and planning abilities while maintaining high throughput for large-scale deployment.
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  • 6
    Agentforce 360 for Manufacturing
    Agentforce 360 for Manufacturing is Salesforce’s AI-powered CRM platform designed to unify the manufacturing value chain. It integrates customer, product, and asset data into one connected system to improve visibility and efficiency. The platform enables manufacturers to modernize commercial operations and streamline collaboration between sales and operations teams. AI agents support service teams by accelerating case resolution and automating warranty claims. Agentforce Manufacturing also enhances demand forecasting and opportunity management. Built on Salesforce’s AI CRM, it delivers real-time insights to improve decision-making and productivity. The solution helps manufacturers drive revenue growth while optimizing service and partner engagement.
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  • 7
    Inkling-Small

    Inkling-Small

    Thinking Machines Lab

    Inkling-Small is an efficient model that offers performance comparable to Inkling at a quarter of its size. It is a Mixture-of-Experts transformer with 276 billion total parameters and 12 billion active parameters, trained on NVIDIA GB300 NVL72 systems. It supports native reasoning across text, images, and audio, variable thinking effort, and context windows of up to one million tokens. Users adjust reasoning effort from minimal to extra high to balance performance and compute. Improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning helped Inkling-Small surpass its larger counterpart on reasoning and coding benchmarks. It performs well in coding and tool-use harnesses, exceeds 80% on SWE-bench Verified, and combines strong reasoning with efficient output. Its encoder-free multimodal architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens.
    1 Rating
    Starting Price: $0.30 per million input tokens
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  • 8
    Agentforce Vibes
    Agentforce Vibes introduces vibe coding, a generative AI–powered approach that lets developers convert natural language instructions into production-ready Salesforce applications with enterprise-grade security, governance, and infrastructure. Unlike simpler vibe coding tools aimed at prototyping, Agentforce Vibes supports the full development lifecycle, ideation, building, testing, deployment, and observability, while integrating with Salesforce’s platform and trust layers. It functions as an AI-powered IDE (usable within VS Code or any VS Code-compatible environment) that understands your Salesforce schema and metadata, enabling features such as agentic code generation (Apex, HTML, CSS, JavaScript), intelligent rule enforcement, test case generation, debugging, rollbacks, and natural language DevOps. It supports multiple language models, is extensible via Model Context Protocol (MCP) with over 20 built-in tools, and allows reuse of existing code.
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  • 9
    Agentforce 360 for Nonprofits
    Agentforce 360 for Nonprofits is Salesforce’s AI-powered CRM platform designed to help nonprofit organizations maximize their impact. Built on the trusted Agentforce 360 platform, it unifies fundraising, program management, volunteer coordination, and stakeholder engagement in one system. The solution provides a 360-degree view of donors, beneficiaries, volunteers, and partners. AI-powered tools help nonprofits fundraise smarter, streamline operations, and improve program outcomes. Nonprofit Cloud centralizes data to enhance collaboration across teams and departments. Purpose-built features support grantmaking, marketing, volunteer management, and impact measurement. Agentforce 360 for Nonprofits empowers organizations to drive mission success with greater efficiency and insight.
    Starting Price: $36 per month
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  • 10
    Salesforce Agentforce Commerce
    Agentforce Commerce, formerly Commerce Cloud, is Salesforce’s unified ecommerce platform designed to power connected digital and in-store experiences. It integrates ecommerce, POS, order management, and payments into a single AI-driven system. Powered by Agentforce, Salesforce’s trusted AI, the platform supports merchandising teams and enables guided shopping for customers. Businesses can manage B2C, B2B, and direct-to-consumer operations from one connected environment. With composable and headless commerce capabilities, brands can innovate faster while reducing total cost of ownership. The platform delivers enterprise-grade reliability with 99.99% historical uptime. Agentforce Commerce helps leading brands increase revenue, accelerate time to value, and scale confidently.
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  • 11
    Phi-4

    Phi-4

    Microsoft

    Phi-4 is a 14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning in areas such as math, in addition to conventional language processing. Phi-4 is the latest member of our Phi family of small language models and demonstrates what’s possible as we continue to probe the boundaries of SLMs. Phi-4 is currently available on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and will be available on Hugging Face. Phi-4 outperforms comparable and larger models on math related reasoning due to advancements throughout the processes, including the use of high-quality synthetic datasets, curation of high-quality organic data, and post-training innovations. Phi-4 continues to push the frontier of size vs quality.
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  • 12
    Salesforce Agentforce Service
    Agentforce Service, formerly Service Cloud, is Salesforce’s AI-powered customer service platform designed to unify humans and AI agents across every touchpoint. It connects contact center, self-service, and field service operations on one trusted CRM platform. AI-driven agents provide real-time insights, next-best actions, and personalized responses to improve service quality. The Service Console offers a unified workspace for case management, collaboration, and automation. Built-in knowledge management ensures accurate, AI-grounded answers for both reps and customers. Incident management tools help teams detect and resolve disruptions proactively. Agentforce Service enables organizations to reduce costs while delivering faster, more personalized customer experiences.
    Starting Price: $75.00/month/user
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  • 13
    Salesforce Agentforce Communications
    Agentforce Communications, formerly Communications Cloud, is Salesforce’s AI-powered CRM platform built specifically for communications service providers. It helps telecom companies modernize their middle-office operations with industry-specific applications, data models, and integrations. The platform leverages AI agents to deliver 24/7 automated customer support, streamline service workflows, and enhance overall customer experience. Tools like Billing Inquiry Manager use predictive and generative AI to resolve common billing issues quickly and reduce handling time. A communications-specific data model and enterprise product catalog simplify product lifecycle management and product-to-cash processes. Industry CPQ and workflow automation improve operational efficiency while reducing IT complexity. Agentforce Communications enables providers to increase ARPU, reduce churn, and drive revenue growth through intelligent, connected experiences.
    Starting Price: $325 per month
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  • 14
    GLM-5

    GLM-5

    Z.ai

    GLM-5 is Z.ai’s latest large language model built for complex systems engineering and long-horizon agentic tasks. It scales significantly beyond GLM-4.5, increasing total parameters and training data while integrating DeepSeek Sparse Attention to reduce deployment costs without sacrificing long-context capacity. The model combines enhanced pre-training with a new asynchronous reinforcement learning infrastructure called slime, improving training efficiency and post-training refinement. GLM-5 achieves best-in-class performance among open-source models across reasoning, coding, and agent benchmarks, narrowing the gap with leading frontier models. It ranks highly on evaluations such as Vending Bench 2, demonstrating strong long-term planning and operational capabilities. The model is open-sourced under the MIT License.
    Starting Price: Free
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  • 15
    Nemotron 3 Nano
    Nemotron 3 Nano is the smallest model in the NVIDIA Nemotron 3 family, built for agentic AI applications with strong reasoning, conversational ability, and cost-efficient inference. It is a hybrid Mamba-Transformer Mixture-of-Experts model with 3.2 billion active parameters, 3.6 billion including embeddings, and 31.6 billion total parameters. NVIDIA describes it as more accurate than the previous Nemotron 2 Nano while activating less than half of the parameters per forward pass, improving efficiency without sacrificing performance. The model is positioned as more accurate than GPT-OSS-20B and Qwen3-30B-A3B-Thinking-2507 on popular benchmarks across different categories. On an 8K input and 16K output setting using a single H200, it delivers inference throughput 3.3 times higher than Qwen3-30B-A3B and 2.2 times higher than GPT-OSS-20B. Nemotron 3 Nano supports context lengths up to 1 million tokens and is reported to outperform GPT-OSS-20B and Qwen3-30B-A3B-Instruct-2507.
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  • 16
    Salesforce Agentforce Health
    Agentforce Health, formerly Health Cloud, is Salesforce’s AI-first platform built specifically for healthcare organizations. It connects clinical and non-clinical data on a unified, healthcare-specific data model to create a complete patient and member view. The platform leverages pre-built and configurable AI agents to automate workflows and surface real-time insights. Health Cloud helps reduce staff burnout by streamlining administrative tasks and improving operational efficiency. It supports personalized patient engagement and accelerates time to care through intelligent automation. Interoperability features integrate EHR and third-party systems to ensure seamless data exchange. Agentforce Health empowers providers, payers, and public health agencies to deliver connected, compliant, and patient-centered care.
    1 Rating
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  • 17
    Salesforce Agentforce Media
    Agentforce Media, formerly Media Cloud, is Salesforce’s AI-powered CRM built specifically for media and entertainment companies. It unifies audience and advertiser data to maximize monetization across every channel. Built on the world’s #1 AI CRM, it streamlines advertising sales, subscriber management, and operational workflows. Prebuilt industry modules and workflows help reduce operating costs and accelerate time to revenue. Advertising Sales Management tools support campaign planning, CPQ, and order management. Subscriber Lifecycle Management enables personalized journeys and churn reduction through data-driven insights. Agentforce Media empowers organizations to scale growth, improve efficiency, and drive faster ROI.
    Starting Price: $325 per month
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  • 18
    Agentforce 360 for Financial Services
    Agentforce 360 for Financial Services is Salesforce’s AI-powered CRM platform built specifically for banking, insurance, and wealth management organizations. It enables firms to become agentic enterprises by combining trusted AI with unified customer data. The platform empowers advisors, bankers, brokers, and service teams to proactively engage customers and drive revenue growth. Financial Services Cloud centralizes front-, middle-, and back-office operations on one connected system. AI-powered automation improves productivity, streamlines onboarding, and personalizes customer interactions. Purpose-built solutions support retail banking, commercial banking, insurance, lending, and wealth management. Agentforce 360 helps financial institutions increase ROI, enhance customer loyalty, and modernize digital experiences at scale.
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  • 19
    Salesforce AgentExchange
    AgentExchange is a trusted AI marketplace integrated with Salesforce, offering a library of ready-to-use agentic AI components. It allows businesses to explore, deploy, and purchase AI agents and solutions to enhance their workflows. With a wide selection of customizable actions, topics, and templates, AgentExchange empowers businesses to streamline their processes, saving both time and money by integrating intelligent automation into their Salesforce environment. The marketplace is designed for both partners and the Salesforce community to collaborate and create tailored solutions that extend the capabilities of Agentforce.
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  • 20
    Salesforce Agentforce Energy & Utilities
    Agentforce Energy & Utilities, formerly Energy & Utilities Cloud, is Salesforce’s industry-specific AI CRM built for energy providers and utilities. It unifies customer, asset, and operational data on a single platform designed for regulated and competitive markets. The solution delivers built-in automation, predictive and generative AI, and real-time insights to improve service and efficiency. Smart Utility Contact Center tools empower agents with full customer visibility and next-best actions. Industry-specific CPQ supports complex quoting for commodities and non-commodity products. A comprehensive energy and utilities data model enables seamless sales, service, field operations, and asset management. Agentforce Energy & Utilities helps organizations lead the energy transition while boosting growth and sustainability initiatives.
    Starting Price: $275 per month
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  • 21
    Salesforce Partner Cloud
    Salesforce Partner Cloud is a complete partner ecosystem management platform, backed by Salesforce CRM and Agentforce, that helps businesses manage the full partner experience in one place. Teams can market, sell, service, quote, recruit, onboard, enable, support, and incentivize partners through a customizable digital hub connected directly to CRM data and automation. Drag-and-drop templates make it possible to create branded experiences for different partner types, while secure deal registration, lead routing, real-time pipeline inspection, AI-generated deal scores, and Partner Connect simplify co-selling across multiple CRMs. Partners can access approved marketing content, campaigns, cases, knowledge, product details, and selling resources, while automated Marketing Development Fund requests and approvals reduce manual work. Partner Tracks, in-app guidance, training resources, and Agentforce recommendations help partners build skills and focus on the activities tied to business.
    Starting Price: $25 per month
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  • 22
    Salesforce Agentforce Marketing
    Agentforce Marketing, formerly Marketing Cloud, is Salesforce’s AI-powered marketing platform designed to create personalized, two-way customer conversations. It combines unified data, autonomous AI agents, and full-funnel workflows into one connected system. Marketing Cloud enables businesses to deliver cross-channel campaigns that adapt in real time to customer behavior. With a single, trusted view of the customer, teams can coordinate efforts across marketing, sales, and service. The platform includes tools for automation, personalization, analytics, and loyalty management. Built-in AI capabilities help optimize campaigns and continuously improve performance. Agentforce Marketing empowers organizations to increase engagement, ROI, and long-term customer value.
    2 Ratings
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  • 23
    DeepSeek-V3.2
    DeepSeek-V3.2 is a next-generation open large language model designed for efficient reasoning, complex problem solving, and advanced agentic behavior. It introduces DeepSeek Sparse Attention (DSA), a long-context attention mechanism that dramatically reduces computation while preserving performance. The model is trained with a scalable reinforcement learning framework, allowing it to achieve results competitive with GPT-5 and even surpass it in its Speciale variant. DeepSeek-V3.2 also includes a large-scale agent task synthesis pipeline that generates structured reasoning and tool-use demonstrations for post-training. The model features an updated chat template with new tool-calling logic and the optional developer role for agent workflows. With gold-medal performance in the IMO and IOI 2025 competitions, DeepSeek-V3.2 demonstrates elite reasoning capabilities for both research and applied AI scenarios.
    Starting Price: Free
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  • 24
    ERNIE X1.1
    ERNIE X1.1 is Baidu’s upgraded reasoning model that delivers major improvements over its predecessor. It achieves 34.8% higher factual accuracy, 12.5% better instruction following, and 9.6% stronger agentic capabilities compared to ERNIE X1. In benchmark testing, it surpasses DeepSeek R1-0528 and performs on par with GPT-5 and Gemini 2.5 Pro. Built on the foundation of ERNIE 4.5, it has been enhanced with extensive mid-training and post-training, including reinforcement learning. The model is available through ERNIE Bot, the Wenxiaoyan app, and Baidu’s Qianfan MaaS platform via API. These upgrades are designed to reduce hallucinations, improve reliability, and strengthen real-world AI task performance.
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  • 25
    Salesforce Agentforce Automotive
    Agentforce Automotive, formerly Automotive Cloud, is Salesforce’s AI-powered CRM platform built specifically for the automotive industry. It unifies driver and vehicle data to create a single, connected view across sales, service, and ownership experiences. Automotive Cloud enables teams to manage leases, warranties, claims, and service milestones within one centralized system. AI-driven alerts and recommendations help customer-facing employees take proactive action. The platform supports immersive, personalized driver experiences beyond the initial vehicle purchase. Integrated automation improves operational efficiency and productivity across dealerships and OEM networks. Agentforce Automotive empowers automotive brands to strengthen relationships, increase loyalty, and innovate faster.
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  • 26
    GPTfy

    GPTfy

    GPTfy

    GPTfy is an Agentforce alternative built 100% natively on Salesforce, fully declarative for organizations looking for an enterprise grade AI platform. It enables businesses to build, deploy, and manage autonomous AI agents without relying on external servers or disconnected tools. Designed for enterprises that prioritize governance, flexibility, and speed, GPTfy helps organizations scale Agentic AI adoption securely while maintaining full visibility and control. GPTfy combines BYOM flexibility, prompt-driven automation, AI agents, and deep Salesforce integration in one unified platform. Teams can converse with Salesforce to log emails, update records, generate intelligent responses, summarize data, automate workflows, execute CRUD operations, and leverage RAG-based knowledge retrieval directly within Salesforce.
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    9 Ratings
    Starting Price: $20 per user per month
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  • 27
    Salesforce Agentforce 360 Platform
    Agentforce 360 Platform is Salesforce’s unified, AI-native foundation designed to help organizations build and scale an agentic enterprise. It connects humans, data, AI agents, and applications on one trusted and open platform. With Data 360, businesses can unify and govern enterprise data to deliver accurate, contextual insights across every workflow. Customer 360 integrates sales, service, marketing, commerce, and industry solutions into a single AI-powered customer view. Slack serves as the collaborative layer where employees and AI agents interact in real time to automate and act securely. The platform includes built-in integration, automation, analytics, security, and DevOps tools to streamline development and operations. Running on Hyperforce infrastructure, Agentforce 360 enables companies to innovate quickly while maintaining enterprise-grade security, compliance, and performance.
    1 Rating
    Starting Price: $25.00/month/user
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  • 28
    Salesforce Agentforce Life Sciences
    Agentforce Life Sciences, formerly Life Sciences Cloud, is Salesforce’s AI-first engagement platform built for Pharma, MedTech, Consumer Health, and Animal Health organizations. It unifies clinical, medical, commercial, and patient services functions on a compliant, industry-specific CRM foundation. The platform enables cross-functional teams to engage healthcare providers and patients using real-time, data-driven insights. AI-powered automation accelerates clinical trials, improves medical inquiry management, and enhances commercial engagement. Life Sciences Cloud supports compliant workflows with audit trails and governance embedded directly into daily operations. Patient services teams can streamline benefits verification, adherence programs, and adverse event management. Agentforce Life Sciences helps organizations bring therapies and devices to market faster while improving operational efficiency and stakeholder engagement.
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  • 29
    Salesforce Agentforce Net Zero
    Agentforce Net Zero, formerly Net Zero Cloud, is Salesforce’s sustainability management platform built on the world’s #1 AI CRM. It centralizes environmental and operational data to help organizations measure, manage, and report on sustainability initiatives. The platform automates carbon accounting by converting energy, travel, and fleet data into emissions aligned with the Greenhouse Gas Protocol. Agentforce AI enables teams to ask natural language questions, generate insights, and automate complex reporting tasks. Framework-specific report builders support compliance with standards such as CSRD, SASB, GRI, and CDP. Net Zero Cloud also consolidates Scope 1, 2, and 3 emissions data across suppliers and subsidiaries. It helps organizations transform sustainability efforts into measurable business value and strategic decision-making.
    Starting Price: $48,000 per year
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  • 30
    Salesforce Agentforce Education
    Agentforce Education, formerly Education Cloud, is Salesforce’s AI-powered platform designed to unify CRM and next-generation student information system capabilities. It connects recruitment, admissions, academic operations, student success, and advancement teams on a single, flexible data foundation. The platform delivers proactive, data-driven insights to support every stage of the learner lifecycle. AI-powered agents provide 24/7 assistance for prospective students, advisors, and fundraisers. Institutions can personalize engagement, streamline operations, and automate routine administrative tasks. Integrated analytics help staff predict trends and take timely action to improve outcomes. Agentforce Education empowers institutions to deliver connected, lifelong learning experiences at scale.
    Starting Price: $36 per month
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  • 31
    Phi-4-mini-flash-reasoning
    Phi-4-mini-flash-reasoning is a 3.8 billion‑parameter open model in Microsoft’s Phi family, purpose‑built for edge, mobile, and other resource‑constrained environments where compute, memory, and latency are tightly limited. It introduces the SambaY decoder‑hybrid‑decoder architecture with Gated Memory Units (GMUs) interleaved alongside Mamba state‑space and sliding‑window attention layers, delivering up to 10× higher throughput and a 2–3× reduction in latency compared to its predecessor without sacrificing advanced math and logic reasoning performance. Supporting a 64 K‑token context length and fine‑tuned on high‑quality synthetic data, it excels at long‑context retrieval, reasoning tasks, and real‑time inference, all deployable on a single GPU. Phi-4-mini-flash-reasoning is available today via Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, enabling developers to build fast, scalable, logic‑intensive applications.
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  • 32
    Salesforce Agentforce Revenue Management
    Agentforce Revenue Management, formerly Revenue Cloud, is Salesforce’s integrated CPQ and revenue management solution built on the world’s #1 AI CRM. It enables sales teams to configure, price, and quote products quickly and accurately from any channel. The platform accelerates the quote-to-cash process with guided selling, automated approvals, and intelligent discounting rules. A unified product catalog and flexible pricing engine help organizations launch new offerings faster while maintaining pricing control. Dynamic deal management allows teams to generate and modify personalized quotes using real-time CRM and transaction data. Built-in automation reduces manual work and mitigates business risk. Agentforce Revenue Management helps organizations close deals faster while improving sales productivity and revenue visibility.
    Starting Price: $75 per user per month
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  • 33
    Phi-4-mini-reasoning
    Phi-4-mini-reasoning is a 3.8-billion parameter transformer-based language model optimized for mathematical reasoning and step-by-step problem solving in environments with constrained computing or latency. Fine-tuned with synthetic data generated by the DeepSeek-R1 model, it balances efficiency with advanced reasoning ability. Trained on over one million diverse math problems spanning multiple levels of difficulty from middle school to Ph.D. level, Phi-4-mini-reasoning outperforms its base model on long sentence generation across various evaluations and surpasses larger models like OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. It features a 128K-token context window and supports function calling, enabling integration with external tools and APIs. Phi-4-mini-reasoning can be quantized using Microsoft Olive or Apple MLX Framework for deployment on edge devices such as IoT, laptops, and mobile devices.
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  • 34
    DeepSeek-V3.2-Speciale
    DeepSeek-V3.2-Speciale is a high-compute variant of the DeepSeek-V3.2 model, created specifically for deep reasoning and advanced problem-solving tasks. It builds on DeepSeek Sparse Attention (DSA), a custom long-context attention mechanism that reduces computational overhead while preserving high performance. Through a large-scale reinforcement learning framework and extensive post-training compute, the Speciale variant surpasses GPT-5 on reasoning benchmarks and matches the capabilities of Gemini-3.0-Pro. The model achieved gold-medal performance in the International Mathematical Olympiad (IMO) 2025 and International Olympiad in Informatics (IOI) 2025. DeepSeek-V3.2-Speciale does not support tool-calling, making it purely optimized for uninterrupted reasoning and analytical accuracy. Released under the MIT license, it provides researchers and developers an open, state-of-the-art model focused entirely on high-precision reasoning.
    Starting Price: Free
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  • 35
    Salesforce Data 360
    Data 360 is Salesforce’s next-generation data platform, evolving from Data Cloud to unify and activate enterprise data in real time. It connects fragmented data across systems into a single, trusted Customer 360 view without requiring data movement. Through Zero-Copy integrations, Data 360 works directly with platforms like Snowflake, Databricks, BigQuery, and AWS. The platform harmonizes structured and unstructured data to power personalized experiences and intelligent workflows. Built-in identity resolution and governance tools ensure data accuracy, compliance, and privacy. Data 360 enables real-time segmentation, predictive insights, and triggered automation across Salesforce and external applications. It serves as the data foundation for Agentforce, delivering context-rich intelligence to AI agents and business teams.
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  • 36
    NVIDIA Nemotron
    NVIDIA Nemotron is a family of open-source models developed by NVIDIA, designed to generate synthetic data for training large language models (LLMs) for commercial applications. The Nemotron-4 340B model, in particular, is a significant release by NVIDIA, offering developers a powerful tool to generate high-quality data and filter it based on various attributes using a reward model.
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  • 37
    GLM-4.7
    GLM-4.7 is an advanced large language model designed to significantly elevate coding, reasoning, and agentic task performance. It delivers major improvements over GLM-4.6 in multilingual coding, terminal-based tasks, and real-world software engineering benchmarks such as SWE-bench and Terminal Bench. GLM-4.7 supports “thinking before acting,” enabling more stable, accurate, and controllable behavior in complex coding and agent workflows. The model also introduces strong gains in UI and frontend generation, producing cleaner webpages, better layouts, and more polished slides. Enhanced tool-using capabilities allow GLM-4.7 to perform more effectively in web browsing, automation, and agent benchmarks. Its reasoning and mathematical performance has improved substantially, showing strong results on advanced evaluation suites. GLM-4.7 is available via Z.ai, API platforms, coding agents, and local deployment for flexible adoption.
    Starting Price: Free
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  • 38
    Phi-4-reasoning
    Phi-4-reasoning is a 14-billion parameter transformer-based language model optimized for complex reasoning tasks, including math, coding, algorithmic problem solving, and planning. Trained via supervised fine-tuning of Phi-4 on carefully curated "teachable" prompts and reasoning demonstrations generated using o3-mini, it generates detailed reasoning chains that effectively leverage inference-time compute. Phi-4-reasoning incorporates outcome-based reinforcement learning to produce longer reasoning traces. It outperforms significantly larger open-weight models such as DeepSeek-R1-Distill-Llama-70B and approaches the performance levels of the full DeepSeek-R1 model across a wide range of reasoning tasks. Phi-4-reasoning is designed for environments with constrained computing or latency. Fine-tuned with synthetic data generated by DeepSeek-R1, it provides high-quality, step-by-step problem solving.
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  • 39
    Hy3

    Hy3

    Tencent

    Hy3 preview is Tencent Hy’s most intelligent model in the Hy series to date, built as a 295B-parameter Mixture-of-Experts model with 21B activated parameters, 3.8B MTP layer parameters, and support for up to a 256K token context window. As the first model trained on Tencent Hy’s rebuilt infrastructure, Hy3 preview is designed to improve real-world usability across complex reasoning, instruction following, context learning, coding, agent capabilities, and overall inference performance. It integrates both fast and slow thinking capabilities, allowing direct responses for simpler tasks and deeper reasoning for complex math, coding, and reasoning work. The model is built around well-rounded capabilities across long-context understanding, instruction following, tool use, and agent workflows, with evaluation focused not only on standard benchmarks but also on authentic business and development scenarios.
    Starting Price: Free
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  • 40
    Kimi K2.6

    Kimi K2.6

    Moonshot AI

    Kimi K2.6 is a next-generation agentic AI model developed by Moonshot AI, designed to push forward real-world execution, coding, and multi-step reasoning beyond earlier K2 and K2.5 versions. It builds on a Mixture-of-Experts architecture and the multimodal, agent-first foundation of the Kimi series, combining language understanding, coding, and tool use into a single system capable of planning and executing complex workflows. It introduces deeper reasoning capabilities and significantly improved agent planning, allowing it to break down tasks, coordinate tools, and handle multi-file or multi-step problems with greater accuracy and efficiency. It supports advanced tool calling with high reliability, enabling integration with external systems such as web search or APIs, and includes built-in validation mechanisms to ensure correct execution formats.
    Starting Price: Free
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  • 41
    GPT-5.4

    GPT-5.4

    OpenAI

    GPT-5.4 is an advanced artificial intelligence model developed by OpenAI to support complex professional and technical work. The model combines improvements in reasoning, coding, and agent-based workflows into a single system designed for real-world productivity tasks. GPT-5.4 can generate, analyze, and edit documents, spreadsheets, presentations, and other work outputs with greater accuracy and efficiency. It also features improved tool integration, enabling the model to interact with software environments and external tools to complete multi-step workflows. With enhanced context capabilities supporting up to one million tokens, GPT-5.4 can process and reason over very large amounts of information. The model also improves factual accuracy and reduces errors compared to earlier versions. By combining strong reasoning, coding ability, and tool use, GPT-5.4 helps users complete complex tasks faster and with fewer iterations.
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    Claude Sonnet 4
    Claude Sonnet 4, the latest evolution of Anthropic’s language models, offers a significant upgrade in coding, reasoning, and performance. Designed for diverse use cases, Sonnet 4 builds upon the success of its predecessor, Claude Sonnet 3.7, delivering more precise responses and better task execution. With a state-of-the-art 72.7% performance on the SWE-bench, it stands out in agentic scenarios, offering enhanced steerability and clear reasoning capabilities. Whether handling software development, multi-feature app creation, or complex problem-solving, Claude Sonnet 4 ensures higher code quality, reduced errors, and a smoother development process.
    1 Rating
    Starting Price: $3 / 1 million tokens (input)
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  • 43
    Command A Reasoning
    Command A Reasoning is Cohere’s most advanced enterprise-ready language model, engineered for high-stakes reasoning tasks and seamless integration into AI agent workflows. The model delivers exceptional reasoning performance, efficiency, and controllability, scaling across multi-GPU setups with support for up to 256,000-token context windows, ideal for handling long documents and multi-step agentic tasks. Organizations can fine-tune output precision and latency through a token budget, allowing a single model to flexibly serve both high-accuracy and high-throughput use cases. It powers Cohere’s North platform with leading benchmark performance and excels in multilingual contexts across 23 languages. Designed with enterprise safety in mind, it balances helpfulness with robust safeguards against harmful outputs. A lightweight deployment option allows running the model securely on a single H100 or A100 GPU, simplifying private, scalable use.
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  • 44
    GLM-4.6
    GLM-4.6 advances upon its predecessor with stronger reasoning, coding, and agentic capabilities: it demonstrates clear improvements in inferential performance, supports tool use during inference, and more effectively integrates into agent frameworks. In benchmark tests spanning reasoning, coding, and agents, GLM-4.6 outperforms GLM-4.5 and shows competitive strength against models such as DeepSeek-V3.2-Exp and Claude Sonnet 4, though it still trails Claude Sonnet 4.5 in pure coding performance. In real-world tests using an extended “CC-Bench” suite across front-end development, tool building, data analysis, and algorithmic tasks, GLM-4.6 beats GLM-4.5 and approaches parity with Claude Sonnet 4, winning ~48.6% of head-to-head comparisons, while also achieving ~15% better token efficiency. GLM-4.6 is available via the Z.ai API, and developers can integrate it as an LLM backend or agent core using the platform’s API.
    Starting Price: Free
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  • 45
    NVIDIA Alpamayo 2 Super
    NVIDIA Alpamayo 2 Super is a frontier open model for robotaxis and autonomous vehicles, built to reason through rare, complex driving situations and produce decisions developers can inspect, validate, and trust. Based on NVIDIA Cosmos 3 Super Reasoner and post-trained with reinforcement learning, it combines commercial openness with multitask capabilities for autonomous driving. The model reasons across full-surround camera coverage, fusing front, side, and rear views to understand lane changes, merges, unprotected turns, and complex intersections. For each scenario, it can generate a planned vehicle trajectory, a chain-of-causation trace explaining the decision, a meta-action such as yielding or stopping, reasoning auto-labels for training and validation, and visual question-answering responses grounded in specific image regions. These linked outputs make it easier to connect what the model observed with the action it selected.
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  • 46
    Seed2.0 Pro

    Seed2.0 Pro

    ByteDance

    Seed2.0 Pro is an advanced general-purpose agent model designed for large-scale production environments and complex real-world tasks. It focuses on long-chain inference capabilities and stability, making it ideal for handling multi-step workflows and intricate business applications. As part of the Seed 2.0 model series, it delivers major upgrades in multimodal understanding, including visual reasoning, motion perception, and instruction-following accuracy. The model demonstrates state-of-the-art performance across leading benchmarks in mathematics, science, coding, and visual reasoning. Seed2.0 Pro excels at interactive visual applications, such as recreating webpages from a single image and generating runnable front-end code with animations. It also supports professional workflows like CAD modeling, biotechnology research assistance, and structured data extraction from complex charts.
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    Data Quality Sense
    Data Quality Sense (DQS) is a 100% Salesforce-native data quality app by Tucario. It measures, monitors, and improves the reliability of your CRM data without ever exporting it — everything runs inside your Salesforce org. DQS scores your data across six dimensions — Completeness, Validity, Uniqueness, Consistency, Timeliness, and PII Detection — producing a weighted Data Quality Score at the org, object, and field level. A no-code Definition Builder (5-step wizard) lets admins define rules, scheduled scans keep scores current, and Insight Studio surfaces trends and field health. Automatic PII detection (8 pattern types incl. SSN, credit card, IBAN, email, IP, date of birth) helps teams find and protect sensitive data before exposure. With Agentforce and AI on the rise, DQS prepares your Salesforce data for reliable AI — an AI agent is only as good as the data behind it. Available on the Salesforce AppExchange.
    Starting Price: $1000
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  • 48
    LongCat-2.0
    LongCat-2.0 is a 1.6 trillion total-parameter Mixture-of-Experts language model built on AI ASIC superpods, with about 48 billion parameters activated per token and strong performance across coding and agentic tasks. It is a substantial step up from previous LongCat models, combining large-scale sparse architecture with dedicated post-training for real-world software engineering, tool use, long-context reasoning, and multi-step agent workflows. LongCat-2.0 is trained and deployed entirely on AI ASIC superpods, with pretraining spanning more than 35 trillion tokens and millions of accelerator-hours, demonstrating frontier-scale training on alternative hardware platforms. To strengthen long-horizon tasks, the model introduces LongCat Sparse Attention and is trained on hundreds of billions of tokens of 1M-context data, giving it native support for ultra-long context tasks and reliable long-document understanding.
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  • 49
    Muse Glimmer
    Muse Glimmer is a 30-billion-parameter open-weights model from Meta Superintelligence Labs, optimized for always-on local agent workflows. Small enough to run on a Mac or PC with a single consumer GPU, it is designed for local agents, function calling, coding, and LLM-as-a-judge evaluation without depending on cloud infrastructure or network access. The model combines long-horizon execution, precise tool calling, multimodal understanding, long-context memory, and instruction following. It can complete end-to-end agentic tasks, sustain multi-step reasoning across extended workflows, recover from failed or unexpected tool calls, and accept interleaved text and images through a dedicated perception encoder for interpreting screenshots, charts, and documents. Muse Glimmer works with OpenClaw and other agentic orchestration patterns, supports controllable reasoning effort, and is trained on data from more than 100 languages.
    1 Rating
    Starting Price: Free
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  • 50
    Trinity-Large-Thinking
    Trinity Large Thinking is a frontier open source reasoning model developed by Arcee AI, designed specifically for complex, multi-step problem solving and autonomous agent workflows that require long-horizon planning and tool use. Built on a sparse Mixture-of-Experts architecture with roughly 400 billion total parameters but only about 13 billion active per token, the model achieves high efficiency while maintaining strong reasoning performance across tasks such as mathematical problem solving, code generation, and multi-step analysis. It introduces extended chain-of-thought reasoning capabilities, allowing the model to generate intermediate “thinking traces” before producing final answers, which improves accuracy and reliability in complex scenarios. Trinity Large Thinking supports a very large context window of up to 262K tokens, enabling it to process long documents, maintain state across extended interactions, and operate effectively in continuous agent loops.
    Starting Price: Free
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