Alternatives to Koa

Nemotron 3 Nano is a small yet powerful large language model from NVIDIA's Nemotron 3 series, specifically crafted for effective agentic reasoning, interactive dialogue, and programming assignments. Its innovative Mixture-of-Experts Mamba-Transformer framework selectively activates a limited set of parameters for each token, ensuring rapid inference times without sacrificing accuracy or reasoning capabilities. With roughly 31.6 billion parameters in total, including about 3.2 billion active ones (or 3.6 billion when factoring in embeddings), it surpasses the performance of the previous Nemotron 2 Nano model while requiring less computational effort for each forward pass. The model is equipped to manage long-context processing of up to one million tokens, which allows it to efficiently process extensive documents, complex workflows, and detailed reasoning sequences in a single cycle. Moreover, it is engineered for high-throughput, real-time performance, making it particularly adept at handling multi-turn dialogues, invoking tools, and executing agent-based workflows that involve intricate planning and reasoning tasks. This versatility positions Nemotron 3 Nano as a leading choice for applications requiring advanced cognitive capabilities.

GLM-5.3 is Z.ai’s advanced coding and agentic reasoning model built through scaled post-training on top of the GLM-5.2 base model. The release focuses on frontier coding, long-horizon software engineering, agent tasks, cyber evaluation, and reinforcement learning at scale. GLM-5.3 improves significantly over GLM-5.2 on complex coding benchmarks, real-world engineering environments, Terminal Bench 3.0, DeepSWE, Agents’ Last Exam, and Z.ai’s internal Code Bench. The model is trained on environments that resemble real professional work, including tasks involving codebases, infrastructure, documentation, compute clusters, experiments, bottleneck diagnosis, implementation, testing, and measurable optimization. Z.ai’s post-training stack includes IndexShare for efficient long-context processing, SAO for reinforcement learning on long-horizon tasks, and slime for large-scale asynchronous training. GLM-5.3 supports three thinking effort levels, including low, high, and max, with max recommended for coding tasks. The model also demonstrates emergent cyber capabilities across vulnerability discovery and exploitation benchmarks, prompting continued safety evaluation and hardening before weights are released. GLM-5.3 can be used through the GLM Coding Plan, ZCode, Claude Code, OpenCode, and other coding agent workflows. By combining stronger coding performance, long-horizon task execution, post-training scale, cyber evaluation, reasoning effort controls, and coding-agent integrations, GLM-5.3 supports advanced developer and research workflows.

The Nemotron-3 Super is an innovative member of NVIDIA's Nemotron 3 series of open models, specifically crafted to facilitate sophisticated agentic AI systems that can effectively reason, plan, and carry out multi-step workflows in intricate environments. This model features a unique hybrid Mamba-Transformer Mixture-of-Experts architecture that merges the streamlined efficiency of Mamba layers with the contextual depth provided by transformer attention mechanisms, which allows it to adeptly manage extended sequences and intricate reasoning tasks with impressive accuracy and throughput. By activating only a portion of its parameters for each token, this architecture significantly enhances computational efficiency while preserving robust reasoning capabilities, making it ideal for scalable inference under heavy workloads. The Nemotron-3 Super comprises approximately 120 billion parameters, with around 12 billion being active during inference, which substantially boosts its ability to handle multi-step reasoning and collaborative interactions among agents within extensive contexts. Such advancements make it a powerful tool for tackling diverse challenges in AI applications.

The NVIDIA Llama Nemotron family comprises a series of sophisticated language models that are fine-tuned for complex reasoning and a wide array of agentic AI applications. These models shine in areas such as advanced scientific reasoning, complex mathematics, coding, following instructions, and executing tool calls. They are designed for versatility, making them suitable for deployment on various platforms, including data centers and personal computers, and feature the ability to switch reasoning capabilities on or off, which helps to lower inference costs during less demanding tasks. The Llama Nemotron series consists of models specifically designed to meet different deployment requirements. Leveraging the foundation of Llama models and enhanced through NVIDIA's post-training techniques, these models boast a notable accuracy improvement of up to 20% compared to their base counterparts while also achieving inference speeds that can be up to five times faster than other leading open reasoning models. This remarkable efficiency allows for the management of more intricate reasoning challenges, boosts decision-making processes, and significantly lowers operational expenses for businesses. Consequently, the Llama Nemotron models represent a significant advancement in the field of AI, particularly for organizations seeking to integrate cutting-edge reasoning capabilities into their systems.

Inkling-Small is an efficient Mixture-of-Experts transformer model built to provide performance comparable to Inkling while using a much smaller active parameter footprint. The model has 276 billion total parameters and 12 billion active parameters, making it designed for strong capability with more efficient compute usage. Inkling-Small was trained on NVIDIA GB300 NVL72 systems and supports native reasoning across text, images, and audio. It offers context windows of up to one million tokens, making it suitable for long documents, large codebases, multimodal context, and extended agent workflows. Users can set reasoning effort from minimal to extra high to control the balance between speed, cost, compute, and task complexity. The model benefits from improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning. These improvements helped Inkling-Small surpass its larger counterpart on reasoning and coding benchmarks. Its encoder-free multimodal architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens. By combining efficient MoE scaling, long-context reasoning, multimodal input, coding strength, and adjustable thinking effort, Inkling-Small is built for practical high-performance AI deployment.

NVIDIA's Nemotron 3 represents a collection of open large language models crafted to drive advanced reasoning, conversational AI, and autonomous AI agents. This series consists of three distinct models tailored for varying scales of AI workloads, all while ensuring remarkable efficiency and precision. Emphasizing "agentic AI" features, these models are capable of executing multi-step reasoning, collaborating with tools, and functioning as integral parts of multi-agent systems utilized across automation, research, and enterprise sectors. The underlying architecture employs a hybrid mixture-of-experts (MoE) approach paired with transformer techniques, enabling the activation of only specific parameter subsets for each task, thereby enhancing performance and minimizing computational expenses. Designed to excel in reasoning, dialogue, and strategic planning, the Nemotron 3 models are optimized for high throughput, making them suitable for extensive deployment across diverse applications. Additionally, their innovative architecture allows for greater adaptability and scalability, ensuring they meet the evolving demands of modern AI challenges.

Phi-4 is an advanced small language model (SLM) comprising 14 billion parameters, showcasing exceptional capabilities in intricate reasoning tasks, particularly in mathematics, alongside typical language processing functions. As the newest addition to the Phi family of small language models, Phi-4 illustrates the potential advancements we can achieve while exploring the limits of SLM technology. It is currently accessible on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and is set to be released on Hugging Face in the near future. Due to significant improvements in processes such as the employment of high-quality synthetic datasets and the careful curation of organic data, Phi-4 surpasses both comparable and larger models in mathematical reasoning tasks. This model not only emphasizes the ongoing evolution of language models but also highlights the delicate balance between model size and output quality. As we continue to innovate, Phi-4 stands as a testament to our commitment to pushing the boundaries of what's achievable within the realm of small language models.

Salesforce Agentforce 360 for Manufacturing is a digital engagement platform tailored for manufacturers seeking smarter operations. It connects sales, service, operations, and partner data within a single AI-driven ecosystem. By centralizing customer and asset information, it eliminates silos across the value chain. The platform empowers teams with AI insights that improve forecasting, service delivery, and commercial planning. Manufacturers can automate processes such as warranty claims and case management. Real-time analytics provide visibility into performance and operational efficiency. Agentforce supports 24/7 service experiences for customers and distributors. The system strengthens partner engagement through better collaboration tools. Built on Salesforce’s AI CRM foundation, it ensures scalability and reliability. Agentforce 360 helps manufacturers increase ROI while enhancing productivity and customer satisfaction.

Agentforce Vibes presents vibe coding, an innovative AI-driven method that empowers developers to transform natural language directives into fully functional Salesforce applications that meet enterprise-level security, governance, and infrastructure requirements. In contrast to more basic vibe coding solutions that are primarily focused on prototyping, Agentforce Vibes encompasses the entire development lifecycle, including ideation, construction, testing, deployment, and observability, while seamlessly integrating with Salesforce's foundational platform and trust frameworks. Acting as an AI-enhanced integrated development environment (IDE) compatible with VS Code or similar environments, it comprehends your Salesforce schema and metadata, facilitating capabilities such as agentic code generation for multiple languages (Apex, HTML, CSS, JavaScript), intelligent enforcement of rules, creation of test cases, debugging, rollbacks, and natural language-driven DevOps. Furthermore, it accommodates various language models, is expandable through the Model Context Protocol (MCP) featuring over 20 integrated tools, and promotes the reuse of pre-existing code, making it a versatile solution for developers. This comprehensive approach not only streamlines development processes but also enhances productivity by reducing the time and effort required to build robust applications.

GLM-5 is a next-generation open-source foundation model from Z.ai designed to push the boundaries of agentic engineering and complex task execution. Compared to earlier versions, it significantly expands parameter count and training data, while introducing DeepSeek Sparse Attention to optimize inference efficiency. The model leverages a novel asynchronous reinforcement learning framework called slime, which enhances training throughput and enables more effective post-training alignment. GLM-5 delivers leading performance among open-source models in reasoning, coding, and general agent benchmarks, with strong results on SWE-bench, BrowseComp, and Vending Bench 2. Its ability to manage long-horizon simulations highlights advanced planning, resource allocation, and operational decision-making skills. Beyond benchmark performance, GLM-5 supports real-world productivity by generating fully formatted documents such as .docx, .pdf, and .xlsx files. It integrates with coding agents like Claude Code and OpenClaw, enabling cross-application automation and collaborative agent workflows. Developers can access GLM-5 via Z.ai’s API, deploy it locally with frameworks like vLLM or SGLang, or use it through an interactive GUI environment. The model is released under the MIT License, encouraging broad experimentation and adoption. Overall, GLM-5 represents a major step toward practical, work-oriented AI systems that move beyond chat into full task execution.

Salesforce Agentforce 360 for Nonprofits is a comprehensive nonprofit management platform built to connect people, programs, and data. It integrates fundraising, marketing, volunteer management, and service delivery into one unified CRM environment. Organizations gain a complete view of every stakeholder interaction, improving engagement and relationship building. AI-powered capabilities streamline reporting, automate tasks, and generate actionable insights. Nonprofit Cloud helps teams collaborate more effectively across fundraising and program operations. Built-in grantmaking and volunteer management tools simplify coordination and tracking. The platform supports data-driven decision-making to maximize outcomes and transparency. Eligible nonprofits can access special pricing and community resources through the Power of Us program. Integration with Salesforce’s broader ecosystem enhances flexibility and scalability. Agentforce 360 helps nonprofits operate more efficiently while amplifying their mission impact.

The Nemotron 3 Nano stands out as the tiniest model within NVIDIA's Nemotron 3 lineup, specifically designed for agentic AI tasks that require robust reasoning and conversational skills while maintaining cost-effective inference. This hybrid Mamba-Transformer Mixture-of-Experts model boasts 3.2 billion active parameters, 3.6 billion when including embeddings, and a total of 31.6 billion parameters. NVIDIA asserts that this model offers greater accuracy compared to its predecessor, the Nemotron 2 Nano, all while utilizing less than half of the parameters during each forward pass, thus enhancing efficiency without compromising on performance. It is also claimed to surpass the accuracy of both GPT-OSS-20B and Qwen3-30B-A3B-Thinking-2507 across various widely-used benchmarks. With an 8K input and 16K output setting utilizing a single H200, the model achieves an inference throughput that is 3.3 times greater than that of Qwen3-30B-A3B and 2.2 times that of GPT-OSS-20B. Additionally, the Nemotron 3 Nano is capable of handling context lengths of up to 1 million tokens, further establishing its superiority over GPT-OSS-20B and Qwen3-30B-A3B-Instruct-2507. This remarkable combination of features positions it as a leading choice for advanced AI applications that demand both precision and efficiency.

Salesforce Agentforce Service is a comprehensive customer service solution built to power intelligent, always-on support. It combines AI automation with human expertise to deliver seamless omni-channel experiences. Service Cloud centralizes customer data, cases, and knowledge into a single workspace. AI assistants guide service representatives with step-by-step action plans and real-time recommendations. Automated workflows accelerate resolutions and reduce repetitive manual tasks. Knowledge management tools ensure consistent, accurate responses across channels. Integrated Slack collaboration enables teams to swarm cases and solve issues faster. Incident detection and management capabilities minimize service disruptions. Self-service portals empower customers to resolve issues independently. Agentforce Service helps businesses increase satisfaction while lowering operational costs.

Salesforce Agentforce Commerce is a comprehensive digital commerce solution built to unify every aspect of the buying journey. It connects ecommerce storefronts, point-of-sale systems, and order management into one intelligent platform. AI-powered capabilities assist teams with merchandising while guiding customers through personalized shopping experiences. The solution supports B2C, B2B, and hybrid commerce models within a single ecosystem. With composable architecture, businesses can adopt headless storefronts and innovate without disrupting core systems. Integrated payments streamline checkout while reducing technical complexity. Real-time inventory visibility and automated order routing improve operational efficiency. Salesforce’s platform ensures high reliability and performance at global scale. Built-in CRM integration enables personalized, data-driven customer engagement. Agentforce Commerce empowers organizations to grow revenue while simplifying commerce operations.

DeepSeek-V3.2 is a highly optimized large language model engineered to balance top-tier reasoning performance with significant computational efficiency. It builds on DeepSeek's innovations by introducing DeepSeek Sparse Attention (DSA), a custom attention algorithm that reduces complexity and excels in long-context environments. The model is trained using a sophisticated reinforcement learning approach that scales post-training compute, enabling it to perform on par with GPT-5 and match the reasoning skill of Gemini-3.0-Pro. Its Speciale variant overachieves in demanding reasoning benchmarks and does not include tool-calling capabilities, making it ideal for deep problem-solving tasks. DeepSeek-V3.2 is also trained using an agentic synthesis pipeline that creates high-quality, multi-step interactive data to improve decision-making, compliance, and tool-integration skills. It introduces a new chat template design featuring explicit thinking sections, improved tool-calling syntax, and a dedicated developer role used strictly for search-agent workflows. Users can encode messages using provided Python utilities that convert OpenAI-style chat messages into the expected DeepSeek format. Fully open-source under the MIT license, DeepSeek-V3.2 is a flexible, cutting-edge model for researchers, developers, and enterprise AI teams.

Salesforce Agentforce Communications is a purpose-built AI CRM solution designed to help telecom and communications providers operate more efficiently and profitably. It transforms the traditional middle office by integrating billing, service, product management, and sales processes into a unified platform. With configurable AI agents, companies can automate customer inquiries, order updates, and billing troubleshooting around the clock. Predictive insights such as churn forecasting and order fulfillment estimates allow teams to take proactive action. The Enterprise Product Catalog enables providers to design, test, launch, and manage complex commercial and technical offerings with ease. Industry CPQ capabilities streamline quoting and product bundling across multiple channels. The out-of-the-box communications data model reduces costly customization and accelerates deployment. Guided service console tools improve agent productivity and reduce training time. Seamless integrations with BSS and OSS systems ensure operational continuity. Agentforce Communications empowers telecom organizations to deliver personalized experiences while lowering operational costs.

Salesforce Agentforce Health is a comprehensive healthcare CRM designed to unify patient, provider, and operational data in one secure platform. Built on Salesforce’s deeply integrated architecture, it includes healthcare-specific workflows, compliance controls, and interoperability capabilities. The solution combines clinical and non-clinical data to deliver a 360-degree view of patients and members. AI-powered agents assist teams by summarizing records, automating document processing, and recommending next steps. Contact center teams gain real-time access to EHR data, eligibility details, and claims information to improve service speed and personalization. Care management tools enable coordinated, whole-person care with configurable care plans. Intelligent document automation reduces manual intake and accelerates case creation. Data 360 for Health enhances contextual insights across every touchpoint. Integration with MuleSoft, Slack, Marketing Cloud, and Service Cloud extends collaboration and engagement capabilities. Agentforce Health enables healthcare organizations to modernize operations, improve outcomes, and scale patient-centric care efficiently.

ERNIE X1.1 is Baidu’s latest reasoning AI model, designed to raise the bar for accuracy, reliability, and action-oriented intelligence. Compared to ERNIE X1, it delivers a 34.8% boost in factual accuracy, a 12.5% improvement in instruction compliance, and a 9.6% gain in agentic behavior. Benchmarks show that it outperforms DeepSeek R1-0528 and matches the capabilities of advanced models such as GPT-5 and Gemini 2.5 Pro. The model builds upon ERNIE 4.5 with additional mid-training and post-training phases, reinforced by end-to-end reinforcement learning. This approach helps minimize hallucinations while ensuring closer alignment to user intent. The agentic upgrades allow it to plan, make decisions, and execute tasks more effectively than before. Users can access ERNIE X1.1 through ERNIE Bot, Wenxiaoyan, or via API on Baidu’s Qianfan platform. Altogether, the model delivers stronger reasoning capabilities for developers and enterprises that demand high-performance AI.

Salesforce Agentforce Media is a purpose-built media CRM designed to help media and entertainment companies modernize operations and increase revenue. It connects advertiser, subscriber, and audience data within one unified platform. With AI-powered insights from Agentforce, teams can optimize monetization strategies across digital and traditional channels. The platform simplifies complex media sales processes with integrated CPQ, order management, and campaign planning tools. Subscriber management capabilities support personalized engagement and lifecycle automation. An industry-specific data model ensures workflows are tailored to media business needs. Built-in automation reduces manual tasks and operational overhead. Integration with Marketing Cloud, Service Cloud, and Data 360 expands personalization and analytics capabilities. Media organizations can launch new offerings faster while maintaining a centralized view of customers and advertisers. Agentforce Media helps companies boost productivity and accelerate return on investment.

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

Phi-4-mini-reasoning is a transformer-based language model with 3.8 billion parameters, specifically designed to excel in mathematical reasoning and methodical problem-solving within environments that have limited computational capacity or latency constraints. Its optimization stems from fine-tuning with synthetic data produced by the DeepSeek-R1 model, striking a balance between efficiency and sophisticated reasoning capabilities. With training that encompasses over one million varied math problems, ranging in complexity from middle school to Ph.D. level, Phi-4-mini-reasoning demonstrates superior performance to its base model in generating lengthy sentences across multiple assessments and outshines larger counterparts such as OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. Equipped with a 128K-token context window, it also facilitates function calling, which allows for seamless integration with various external tools and APIs. Moreover, Phi-4-mini-reasoning can be quantized through the Microsoft Olive or Apple MLX Framework, enabling its deployment on a variety of edge devices, including IoT gadgets, laptops, and smartphones. Its design not only enhances user accessibility but also expands the potential for innovative applications in mathematical fields.

Salesforce Agentforce 360 for Financial Services is an industry-specific CRM solution designed to transform financial institutions into AI-driven enterprises. It connects data, automation, and intelligent agents to help teams deliver personalized and proactive service. Advisors and relationship managers gain real-time insights to better understand customer goals and financial journeys. The platform streamlines onboarding, compliance, lending, and service workflows across channels. Financial Services Cloud unifies customer information to create a single, actionable view. AI capabilities enhance productivity while improving customer satisfaction and engagement. The solution supports retail banks, credit unions, insurers, brokerages, and asset managers. Built-in automation reduces manual processes and operational complexity. Integrated analytics help institutions uncover growth opportunities and optimize performance. Agentforce 360 enables financial firms to innovate confidently while strengthening trust and loyalty.

AgentExchange is a dynamic marketplace built into Salesforce, offering a variety of AI-powered agentic solutions for businesses looking to enhance their workflows with intelligent automation. The platform provides a range of ready-to-use actions, templates, and pre-built solutions that can be deployed quickly to meet specific business needs. With contributions from over 200 Salesforce partners, AgentExchange offers a wide selection of tailored solutions across industries, helping businesses save time and reduce costs by seamlessly integrating AI agents into their Salesforce platform. Users can easily browse the marketplace to find the right solutions for their product, industry, or use case, all within their workflow. This intuitive environment facilitates collaboration between partners, businesses, and Salesforce’s Agentforce, making it easier to implement AI-driven processes for enhanced operational efficiency.

DeepSeek-V3.2-Speciale is the most advanced reasoning-focused version of the DeepSeek-V3.2 family, designed to excel in mathematical, algorithmic, and logic-intensive tasks. It incorporates DeepSeek Sparse Attention (DSA), an efficient attention mechanism tailored for very long contexts, enabling scalable reasoning with minimal compute costs. The model undergoes a robust reinforcement learning pipeline that scales post-training compute to frontier levels, enabling performance that exceeds GPT-5 on internal evaluations. Its achievements include gold-medal-level solutions in IMO 2025, IOI 2025, ICPC World Finals, and CMO 2025, with final submissions publicly released for verification. Unlike the standard V3.2 model, the Speciale variant removes tool-calling capabilities to maximize focused reasoning output without external interactions. DeepSeek-V3.2-Speciale uses a revised chat template with explicit thinking blocks and system-level reasoning formatting. The repository includes encoding tools showing how to convert OpenAI-style chat messages into DeepSeek’s specialized input format. With its MIT license and 685B-parameter architecture, DeepSeek-V3.2-Speciale offers cutting-edge performance for academic research, competitive programming, and enterprise-level reasoning applications.

Salesforce Partner Cloud serves as a comprehensive platform for managing the entire partner ecosystem, leveraging the capabilities of Salesforce CRM and Agentforce to facilitate all aspects of partner engagement from a single interface. This solution allows teams to seamlessly market, sell, service, quote, recruit, onboard, enable, support, and reward their partners via a customizable digital hub that integrates directly with CRM data and automation features. With user-friendly drag-and-drop templates, businesses can create tailored experiences for various partner types, while functionalities like secure deal registration, lead routing, real-time pipeline monitoring, AI-driven deal scoring, and Partner Connect enhance the ease of co-selling across different CRMs. Partners benefit from easy access to a wealth of approved marketing materials, campaigns, case studies, knowledge bases, product information, and sales resources, along with automated processes for Marketing Development Fund requests and approvals to minimize administrative burdens. Additionally, tools such as Partner Tracks, in-app guidance, training materials, and recommendations from Agentforce empower partners to enhance their skills and concentrate on productive activities that contribute to business growth. Overall, this platform not only streamlines partner management but also fosters deeper collaboration and efficiency among all stakeholders involved.

Salesforce Agentforce Energy & Utilities is a purpose-built CRM platform tailored to the evolving needs of energy providers and utility companies. It centralizes customer, billing, asset, and operational data into a unified system. AI-powered automation enhances contact center performance with intelligent chat, digital self-service, and multi-channel engagement. Sales teams benefit from industry-specific configure, price, and quote capabilities designed for complex energy products and services. Order management and guided selling streamline customer acquisition and retention processes. The platform includes a comprehensive industry data model that supports both regulated and competitive markets. Clean energy program management tools help utilities track conservation initiatives and sustainability efforts. Field service and asset management features optimize workforce productivity and operational costs. Integration with Data 360, Tableau, MuleSoft, and business intelligence tools enhances analytics and decision-making. Agentforce Energy & Utilities empowers organizations to modernize operations, improve customer satisfaction, and accelerate digital transformation.

GLM-4.7 is a next-generation AI model built to serve as a powerful coding and reasoning partner. It improves significantly on its predecessor across software engineering, multilingual coding, and terminal interaction benchmarks. GLM-4.7 introduces enhanced agentic behavior by thinking before tool use or execution, improving reliability in long and complex tasks. The model demonstrates strong performance in real-world coding environments and popular coding agents. GLM-4.7 also advances visual and frontend generation, producing modern UI designs and well-structured presentation slides. Its improved tool-use capabilities allow it to browse, analyze, and interact with external systems more effectively. Mathematical and logical reasoning have been strengthened through higher benchmark performance on challenging exams. The model supports flexible reasoning modes, allowing users to trade latency for accuracy. GLM-4.7 can be accessed via Z.ai, OpenRouter, and agent-based coding tools. It is designed for developers who need high performance without excessive cost.

Salesforce Agentforce Marketing is a comprehensive marketing platform built to transform one-way campaigns into interactive customer experiences. It integrates AI, data, and automation to power conversations across email, mobile, web, and other channels. By centralizing customer data, Marketing Cloud enables real-time personalization at every stage of the customer journey. Autonomous AI agents help marketers create, optimize, and scale campaigns faster. The platform connects marketing and sales teams with shared insights and coordinated workflows. Advanced analytics provide a unified view of performance across channels. Businesses can manage B2B and B2C marketing strategies within the same ecosystem. Built-in loyalty and personalization tools strengthen customer relationships over time. Marketing Cloud adapts to any tech stack and supports organizations of all sizes. It drives measurable growth by increasing engagement while lowering acquisition costs.

NVIDIA has created the Nemotron family of open-source models aimed at producing synthetic data specifically for training large language models (LLMs) intended for commercial use. Among these, the Nemotron-4 340B model stands out as a key innovation, providing developers with a robust resource to generate superior quality data while also allowing for the filtering of this data according to multiple attributes through a reward model. This advancement not only enhances data generation capabilities but also streamlines the process of training LLMs, making it more efficient and tailored to specific needs.

Phi-4-reasoning is an advanced transformer model featuring 14 billion parameters, specifically tailored for tackling intricate reasoning challenges, including mathematics, programming, algorithm development, and strategic planning. Through a meticulous process of supervised fine-tuning on select "teachable" prompts and reasoning examples created using o3-mini, it excels at generating thorough reasoning sequences that optimize computational resources during inference. By integrating outcome-driven reinforcement learning, Phi-4-reasoning is capable of producing extended reasoning paths. Its performance notably surpasses that of significantly larger open-weight models like DeepSeek-R1-Distill-Llama-70B and nears the capabilities of the comprehensive DeepSeek-R1 model across various reasoning applications. Designed for use in settings with limited computing power or high latency, Phi-4-reasoning is fine-tuned with synthetic data provided by DeepSeek-R1, ensuring it delivers precise and methodical problem-solving. This model's ability to handle complex tasks with efficiency makes it a valuable tool in numerous computational contexts.

The Hy3 preview represents Tencent Hy's most advanced model in the Hy series to date, featuring a substantial 295 billion parameters in a Mixture-of-Experts structure, with 21 billion parameters activated and an impressive 3.8 billion parameters dedicated to the MTP layer, all while accommodating a context window of up to 256,000 tokens. This groundbreaking model is the first to harness Tencent Hy's newly revamped infrastructure, aimed at enhancing practical applications in areas such as complex reasoning, following instructions, learning from context, coding tasks, and overall inference capabilities. By seamlessly integrating both rapid and thorough cognitive processing, it provides straightforward answers for simpler inquiries while facilitating in-depth analysis for intricate math, programming, and reasoning challenges. The model is crafted to exhibit comprehensive skills in understanding long contexts, adhering to instructions, employing tools, and executing agent workflows, with assessments conducted not only against conventional benchmarks but also within real-world business and development contexts. Furthermore, its design ensures adaptability to a wide range of scenarios, thereby broadening its usability in diverse applications.

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. The platform also supports voice and telephony workflows, file analysis, dashboards, audit controls, and observability features for enterprise use cases across sales, service, compliance, and operations. GPTfy transforms emails, meetings, calls, documents, and CRM activities into actionable insights. Teams can identify pipeline risks, uncover customer sentiment, surface next-best-actions, and improve productivity directly inside Salesforce and Microsoft Copilot. AI agents can also automate customer support by resolving cases, logging root causes, creating knowledge articles, and deflecting support requests through 24/7 AI-powered engagement.

Salesforce Agentforce Automotive is a purpose-built automotive CRM designed for OEMs, retailers, dealers, and captive finance organizations. It brings together driver profiles, vehicle data, and service history into one unified platform. By centralizing information, teams gain complete visibility into every customer interaction across the ownership lifecycle. AI-powered agents deliver real-time alerts, recommendations, and next-best actions directly within workflows. Sales and service teams can proactively engage drivers to resolve issues and enhance satisfaction. The platform streamlines management of leases, warranties, and claims to reduce friction and improve efficiency. Contextual data enables personalized offers, upgrades, and immersive in-vehicle experiences. Integration with Data 360, MuleSoft, Marketing Cloud, and Commerce Cloud expands data activation and engagement capabilities. Built-in automation increases productivity while reducing manual effort. Agentforce Automotive helps automotive organizations accelerate innovation and build long-term brand loyalty.

Kimi K2.6 is an advanced agentic AI model created by Moonshot AI, aiming to enhance practical implementation, programming, and complex reasoning compared to its predecessors, K2 and K2.5. This model is based on a Mixture-of-Experts framework and the multimodal, agent-centric principles of the Kimi series, merging language comprehension, coding capabilities, and tool utilization into one cohesive system that can plan and execute intricate workflows. It features enhanced reasoning skills and significantly better agent planning, enabling it to deconstruct tasks, synchronize various tools, and tackle multi-file or multi-step challenges with increased precision and effectiveness. Additionally, it provides robust tool-calling capabilities with a high degree of reliability, facilitating seamless integration with external platforms like web searches or APIs, and incorporates built-in validation systems to guarantee the accuracy of execution formats. Notably, Kimi K2.6 represents a significant leap forward in the realm of AI, setting new standards for the complexity and reliability of automated tasks.

Agentforce 360 Platform is an AI-driven enterprise foundation built to power modern, intelligent businesses. It unifies data, workflows, applications, and AI agents within a single scalable ecosystem. Organizations can leverage Data 360 to harmonize enterprise data with trusted metadata and governance controls. Customer 360 connects every revenue and service function, providing a comprehensive and actionable view of each customer interaction. Slack operates as the real-time collaboration layer, enabling seamless coordination between employees and AI agents. Agentforce MuleSoft ensures secure integration across systems, APIs, and workflows with built-in governance. Tableau analytics transforms raw data into explainable, real-time insights that drive smarter decisions. Security and compliance are embedded throughout the platform, proactively monitoring threats and enforcing policies. Developers can rapidly build, test, and deploy AI-powered applications using DevOps tools and open APIs. Together, these capabilities allow organizations to innovate faster, automate operations intelligently, and operate with agility at enterprise scale.

GPT-5.4 is a next-generation AI model created by OpenAI to assist professionals with advanced knowledge work and software development tasks. It brings together major improvements in reasoning, coding, and automated workflows to deliver more capable and reliable results. The model can analyze large datasets, generate detailed reports, create presentations, and assist with spreadsheet modeling. GPT-5.4 also supports complex coding tasks and can help developers build, test, and debug software more efficiently. One of its key advancements is the ability to use tools and interact with software environments to complete multi-step processes. The model supports very large context windows, allowing it to analyze long documents and maintain context across extended conversations. GPT-5.4 also improves web research capabilities by searching and synthesizing information from multiple sources more effectively. Enhanced accuracy reduces hallucinations and helps produce more reliable responses for professional use. The model is available through ChatGPT, developer APIs, and coding environments such as Codex. By combining reasoning, tool usage, and large-scale context understanding, GPT-5.4 enables users to automate complex workflows and produce high-quality outputs.

Cohere’s Command A Reasoning stands as the company’s most sophisticated language model, specifically designed for complex reasoning tasks and effortless incorporation into AI agent workflows. This model exhibits outstanding reasoning capabilities while ensuring efficiency and controllability, enabling it to scale effectively across multiple GPU configurations and accommodating context windows of up to 256,000 tokens, which is particularly advantageous for managing extensive documents and intricate agentic tasks. Businesses can adjust the precision and speed of outputs by utilizing a token budget, which empowers a single model to adeptly address both precise and high-volume application needs. It serves as the backbone for Cohere’s North platform, achieving top-tier benchmark performance and showcasing its strengths in multilingual applications across 23 distinct languages. With an emphasis on safety in enterprise settings, the model strikes a balance between utility and strong protections against harmful outputs. Additionally, a streamlined deployment option allows the model to operate securely on a single H100 or A100 GPU, making private and scalable implementations more accessible. Ultimately, this combination of features positions Command A Reasoning as a powerful solution for organizations aiming to enhance their AI-driven capabilities.

Salesforce Agentforce Life Sciences is a comprehensive CRM platform designed to support the entire life sciences value chain. It connects clinical development, medical affairs, commercial operations, and patient services within a unified and compliant ecosystem. Built on Salesforce’s deeply integrated platform, it ensures regulatory requirements are embedded into workflows. AI-driven agents assist with clinical trial recruitment, participant management, and predictive enrollment analytics. Medical affairs teams can automate inquiry responses and manage scientific knowledge exchange more efficiently. Commercial teams gain a unified view of healthcare professionals to deliver personalized, omnichannel engagement. The platform enhances patient services with automated insurance verification and proactive support programs. Real-time dashboards provide actionable insights across stakeholders and operations. Integration with Data 360, MuleSoft, Tableau, Slack, and Health Cloud expands collaboration and analytics capabilities. Agentforce Life Sciences empowers organizations to accelerate innovation, improve compliance, and drive better health outcomes.

Salesforce Agentforce Net Zero is a comprehensive ESG and sustainability management solution designed to unify environmental data across the enterprise. It brings together operational, supply chain, and emissions data into a single, connected platform. Automated carbon conversion tools calculate greenhouse gas emissions from energy usage, travel, and other activities. The system streamlines compliance with global reporting frameworks through built-in disclosure templates. AI-powered Agentforce capabilities allow users to query data in natural language and generate accurate reports automatically. Scope 3 emissions tracking enables visibility across suppliers and value chains. Advanced analytics and forecasting tools support strategic planning and cost optimization. Net Zero Cloud integrates with other Salesforce products to expand operational insights. Teams can collaborate across departments using shared dashboards and centralized reporting. Agentforce Net Zero helps businesses achieve sustainability goals while improving transparency and efficiency.

Claude Sonnet 4 is an advanced AI model that enhances coding, reasoning, and problem-solving capabilities, perfect for developers and businesses in need of reliable AI support. This new version of Claude Sonnet significantly improves its predecessor’s capabilities by excelling in coding tasks and delivering precise, clear reasoning. With a 72.7% score on SWE-bench, it offers exceptional performance in software development, app creation, and problem-solving. Claude Sonnet 4’s improved handling of complex instructions and reduced errors in codebase navigation make it the go-to choice for enhancing productivity in technical workflows and software projects.

Seed2.0 Pro is a high-performance general-purpose AI model engineered for demanding enterprise and research environments. Built to manage long-chain reasoning and complex multi-step instructions, it ensures consistent and stable outputs across extended workflows. As the flagship model in the Seed 2.0 series, it introduces substantial enhancements in multimodal intelligence, combining language, vision, motion, and contextual understanding. The system achieves top-tier benchmark results in mathematics, coding, STEM reasoning, and multimodal evaluations, positioning it among leading industry models. Its advanced visual reasoning capabilities enable it to interpret images, reconstruct structured layouts, and generate fully functional interactive web interfaces from visual inputs. Beyond creative tasks, Seed2.0 Pro supports technical operations such as CAD design automation, scientific research problem-solving, and detailed data analysis. The model is optimized for real-world deployment, balancing inference depth with operational reliability. It performs strongly in long-context scenarios, maintaining coherence across extended documents and conversations. Additionally, its robust instruction-following capabilities allow it to execute highly specific professional commands with precision. Overall, Seed2.0 Pro combines research-level intelligence with production-grade performance for complex, high-value tasks.

GLM-4.6 builds upon the foundations laid by its predecessor, showcasing enhanced reasoning, coding, and agent capabilities, resulting in notable advancements in inferential accuracy, improved tool usage during reasoning tasks, and a more seamless integration within agent frameworks. In comprehensive benchmark evaluations that assess reasoning, coding, and agent performance, GLM-4.6 surpasses GLM-4.5 and competes robustly against other models like DeepSeek-V3.2-Exp and Claude Sonnet 4, although it still lags behind Claude Sonnet 4.5 in terms of coding capabilities. Furthermore, when subjected to practical tests utilizing an extensive “CC-Bench” suite that includes tasks in front-end development, tool creation, data analysis, and algorithmic challenges, GLM-4.6 outperforms GLM-4.5 while nearing parity with Claude Sonnet 4, achieving victory in approximately 48.6% of direct comparisons and demonstrating around 15% improved token efficiency. This latest model is accessible through the Z.ai API, providing developers the flexibility to implement it as either an LLM backend or as the core of an agent within the platform's API ecosystem. In addition, its advancements could significantly enhance productivity in various application domains, making it an attractive option for developers looking to leverage cutting-edge AI technology.

Salesforce Agentforce Revenue Management is a powerful CPQ and revenue optimization platform designed to streamline the entire quote-to-cash lifecycle. It connects product catalogs, pricing, contracts, orders, and billing within a single, AI-powered environment. Sales teams can generate accurate quotes instantly using a familiar, spreadsheet-like interface that improves usability and speed. Guided selling flows ensure compliance with pricing policies and discount thresholds. Automated approvals and configurable rules help minimize revenue leakage and operational risk. The unified product catalog reduces SKU complexity while supporting multi-channel sales strategies. Self-service and API-first capabilities enable seamless integration with ecommerce and partner sales channels. AI-driven deal management enhances collaboration while maintaining secure, role-based access. Real-time data insights support better forecasting and revenue planning. Agentforce Revenue Management empowers businesses to scale revenue operations efficiently and close more opportunities with confidence.

Salesforce Agentforce Education is a comprehensive education CRM that combines AI, analytics, and modern SIS functionality in one unified platform. It centralizes constituent data to create a 360-degree view of students, alumni, and supporters. Recruitment and admissions teams can engage prospects with personalized, AI-driven support throughout the enrollment journey. Academic operations benefit from intelligent course search, registration management, and degree planning tools. Student success teams gain advising insights, automated summaries, and proactive case management capabilities. Advancement and alumni relations teams can streamline philanthropic research and donor engagement. Built-in analytics surface trends and performance indicators in real time. The flexible data architecture supports lifelong learner engagement across programs and departments. Integration with products like Data 360, Marketing Cloud, Slack, and Tableau extends collaboration and personalization. Agentforce Education helps institutions improve efficiency, enhance engagement, and drive better educational outcomes.

Trinity Large Thinking is an innovative open-source reasoning model crafted by Arcee AI, tailored for intricate, multi-step problem solving and workflows involving autonomous agents that necessitate extended planning and the use of various tools. This model features a sparse Mixture-of-Experts architecture, boasting a remarkable total of around 400 billion parameters, with approximately 13 billion being active for each token, which enhances its efficiency while ensuring robust reasoning capabilities across a range of tasks, including mathematical calculations, code generation, and comprehensive analysis. A notable advancement in this model is its ability to perform extended chain-of-thought reasoning, which allows it to produce intermediate "thinking traces" prior to delivering final solutions, thereby boosting accuracy and reliability in complex situations. Furthermore, Trinity Large Thinking accommodates a substantial context window of up to 262K tokens, allowing it to effectively process lengthy documents, retain context during prolonged interactions, and function seamlessly in continuous agent loops. This model's design reflects a commitment to pushing the boundaries of what automated reasoning systems can achieve.