Top Koa Alternatives

The Nemotron 3 Nano, a compact yet robust language model from NVIDIA's Nemotron 3 lineup, is specifically designed to excel in agentic reasoning, engaging dialogue, and programming tasks. Its cutting-edge Mixture-of-Experts Mamba-Transformer architecture selectively activates a specific subset of parameters for each token, allowing for quick inference times while maintaining high accuracy and reasoning skills. With an impressive total of around 31.6 billion parameters, including about 3.2 billion active ones (or 3.6 billion when including embeddings), this model outperforms its predecessor, the Nemotron 2 Nano, while demanding less computational power for every forward pass. It boasts the capability to handle long-context processing of up to one million tokens, enabling it to efficiently analyze lengthy documents, navigate complex workflows, and carry out detailed reasoning tasks in one go. Additionally, it is designed for high-throughput, real-time performance, making it particularly skilled in managing multi-turn dialogues, executing tool invocations, and handling agent-driven workflows that require sophisticated planning and reasoning. This adaptability renders the Nemotron 3 Nano a top-tier option for a wide range of applications that necessitate advanced cognitive functions and seamless interaction. Its ability to integrate these features sets a new standard in the landscape of language models.

GLM-5.3 is Z.ai’s frontier coding model built to improve complex software engineering, long-horizon agent work, and advanced technical reasoning through scaled post-training. The model uses the same base model as GLM-5.2, with performance gains coming from additional post-training environments, more diverse tasks, and expanded compute on the existing training stack. Z.ai’s stack includes IndexShare for efficient long-context processing, SAO for reinforcement learning on long-horizon tasks, and slime for large-scale asynchronous post-training. GLM-5.3 is designed to perform better on work that resembles real engineering tasks rather than short coding exercises. Its training environments include production-style workflows where the model must diagnose bottlenecks, inspect documentation, use codebases, run experiments, implement changes, and produce measurable improvements. The model improves coding performance across public and private benchmarks, including Terminal Bench 3.0, DeepSWE, Agents’ Last Exam, and Z.ai Code Bench. GLM-5.3 also improves token efficiency, producing stronger agentic coding results than GLM-5.2 while using fewer output tokens in Z.ai’s internal evaluations. The model supports three reasoning effort levels, low, high, and max, and no longer supports disabling thinking. Z.ai recommends max reasoning effort for coding tasks, while applications using disabled thinking must migrate to enabled thinking before switching to GLM-5.3. The release also reports emergent cyber capabilities, including stronger vulnerability discovery and exploitation-chain reasoning, with open-weight release planned after safety evaluation and hardening. By combining scaled post-training, long-context infrastructure, long-horizon reinforcement learning, coding-agent workflows, benchmark improvements, reasoning controls, and ZCode integration, GLM-5.3 helps developers and researchers work on demanding coding and agentic tasks.

The Nemotron-3 Super stands out as a groundbreaking addition to NVIDIA's Nemotron 3 series of open models, designed specifically to support advanced agentic AI systems capable of reasoning, planning, and executing complex multi-step workflows in challenging settings. It incorporates a distinctive hybrid Mamba-Transformer Mixture-of-Experts architecture that combines the streamlined capabilities of Mamba layers with the contextual richness offered by transformer attention mechanisms, enabling it to effectively handle long sequences and complicated reasoning tasks with notable precision and efficiency. By activating only a selected subset of its parameters for each token, this design greatly improves computational efficiency while ensuring strong reasoning skills, making it particularly suitable for scalable inference in demanding situations. With an impressive configuration of around 120 billion parameters, of which approximately 12 billion are engaged during inference, the Nemotron-3 Super significantly enhances its capacity for managing multi-step reasoning and facilitating collaborative interactions among agents in broad contexts. This combination of features not only empowers it to address a wide array of challenges in the AI landscape but also positions it as a key player in the evolution of intelligent systems. Overall, the model exemplifies the potential for future innovations in AI technology.

The NVIDIA Llama Nemotron family includes a range of advanced language models optimized for intricate reasoning tasks and a diverse set of agentic AI functions. These models excel in fields such as sophisticated scientific analysis, complex mathematics, programming, adhering to detailed instructions, and executing tool interactions. Engineered with flexibility in mind, they can be deployed across various environments, from data centers to personal computers, and they incorporate a feature that allows users to toggle reasoning capabilities, which reduces inference costs during simpler tasks. The Llama Nemotron series is tailored to address distinct deployment needs, building on the foundation of Llama models while benefiting from NVIDIA's advanced post-training methodologies. This results in a significant accuracy enhancement of up to 20% over the original models and enables inference speeds that can reach five times faster than other leading open reasoning alternatives. Such impressive efficiency not only allows for tackling more complex reasoning challenges but also enhances decision-making processes and substantially decreases operational costs for enterprises. Furthermore, the Llama Nemotron models stand as a pivotal leap forward in AI technology, making them ideal for organizations eager to incorporate state-of-the-art reasoning capabilities into their operations and strategies.

Inkling-Small is an efficient multimodal AI model built to deliver strong reasoning and coding performance at a fraction of Inkling’s size. It is a Mixture-of-Experts transformer with 276 billion total parameters and 12 billion active parameters. The model was trained on NVIDIA GB300 NVL72 systems and is designed to combine high capability with more efficient inference. Inkling-Small supports native reasoning across text, images, and audio, allowing it to work across multimodal tasks without relying on separate encoders. Its context window supports up to one million tokens, making it useful for long-form reasoning, large-scale code understanding, document analysis, and agentic workflows. Users can adjust reasoning effort from minimal to extra high depending on whether they need faster responses or deeper computation. The model’s training process includes improved pre-training data, post-training with on-policy distillation from Inkling, and extended agentic coding reinforcement learning. These techniques helped Inkling-Small outperform its larger counterpart on reasoning and coding benchmarks. The model performs well in coding and tool-use harnesses and exceeds 80% on SWE-bench Verified. Its encoder-free architecture processes audio as dMel spectrograms and images as 40-by-40-pixel patches alongside text tokens. By combining efficient MoE design, one-million-token context, adjustable reasoning effort, multimodal processing, coding strength, and tool-use performance, Inkling-Small is designed for developers and teams that need capable AI with lower active compute requirements.

NVIDIA's Nemotron 3 is a suite of open large language models engineered to facilitate sophisticated reasoning, conversational AI, and autonomous AI agents. This lineup features three unique models, each designed to handle different scales of AI tasks while maintaining exceptional efficiency and accuracy. With a focus on "agentic AI," these models possess the capability to perform complex multi-step reasoning, collaborate seamlessly with tools, and integrate into multi-agent systems that serve various applications in automation, research, and enterprise environments. The foundational architecture employs a hybrid mixture-of-experts (MoE) strategy combined with transformer techniques, which allows for the activation of only selected parameter subsets tailored to individual tasks, thus optimizing performance and reducing computational costs. Tailored for excellence in reasoning, dialogue, and strategic planning, the Nemotron 3 models are fine-tuned for high throughput, making them ideal for widespread deployment in a range of applications. Furthermore, their cutting-edge architecture provides enhanced adaptability and scalability, ensuring they can effectively address the ever-changing landscape of contemporary AI challenges. This versatility positions Nemotron 3 as a crucial asset for organizations seeking to leverage advanced AI capabilities across diverse industries.

Phi-4 is an innovative small language model (SLM) with 14 billion parameters, demonstrating remarkable proficiency in complex reasoning tasks, especially in the realm of mathematics, in addition to standard language processing capabilities. Being the latest member of the Phi series of small language models, Phi-4 exemplifies the strides we can make as we push the horizons of SLM technology. Currently, it is available on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and will soon be launched on Hugging Face. With significant enhancements in methodologies, including the use of high-quality synthetic datasets and meticulous curation of organic data, Phi-4 outperforms both similar and larger models in mathematical reasoning challenges. This model not only showcases the continuous development of language models but also underscores the important relationship between the size of a model and the quality of its outputs. As we forge ahead in innovation, Phi-4 serves as a powerful example of our dedication to advancing the capabilities of small language models, revealing both the opportunities and challenges that lie ahead in this field. Moreover, the potential applications of Phi-4 could significantly impact various domains requiring sophisticated reasoning and language comprehension.

Agentforce 360 for Manufacturing is Salesforce’s comprehensive AI CRM solution built specifically for the manufacturing industry. It unifies customer interactions, product information, asset data, and operational workflows into one connected platform. By integrating the entire value chain, it enables seamless collaboration between commercial, service, and operations teams. AI-powered agents assist employees with real-time insights and automated processes. Manufacturers can modernize commercial operations by aligning demand forecasts with opportunity management. The platform accelerates service case resolution and improves field service efficiency. Automated warranty claim processing reduces manual workloads and increases accuracy. Agentforce supports stronger distributor and channel partner engagement through shared visibility and performance tracking. Built-in analytics provide actionable insights to drive continuous improvement. The system scales across global operations while maintaining a unified customer view. Salesforce’s AI CRM infrastructure ensures high reliability and adaptability. Agentforce 360 empowers manufacturers to unlock new value, increase revenue, and deliver exceptional customer experiences.

GLM-5 is Z.ai’s most advanced open-source model to date, purpose-built for complex systems engineering, long-horizon planning, and autonomous agent workflows. Building on the foundation of GLM-4.5, it dramatically scales both total parameters and pre-training data while increasing active parameter efficiency. The integration of DeepSeek Sparse Attention allows GLM-5 to maintain strong long-context reasoning capabilities while reducing deployment costs. To improve post-training performance, Z.ai developed slime, an asynchronous reinforcement learning infrastructure that significantly boosts training throughput and iteration speed. As a result, GLM-5 achieves top-tier performance among open-source models across reasoning, coding, and general agent benchmarks. It demonstrates exceptional strength in long-term operational simulations, including leading results on Vending Bench 2, where it manages a year-long simulated business with strong financial outcomes. In coding evaluations such as SWE-bench and Terminal-Bench 2.0, GLM-5 delivers competitive results that narrow the gap with proprietary frontier systems. The model is fully open-sourced under the MIT License and available through Hugging Face, ModelScope, and Z.ai’s developer platforms. Developers can deploy GLM-5 locally using inference frameworks like vLLM and SGLang, including support for non-NVIDIA hardware through optimization and quantization techniques. Through Z.ai, users can access both Chat Mode for fast interactions and Agent Mode for tool-augmented, multi-step task execution. GLM-5 also enables structured document generation, producing ready-to-use .docx, .pdf, and .xlsx files for business and academic workflows. With compatibility across coding agents and cross-application automation frameworks, GLM-5 moves foundation models from conversational assistants toward full-scale work engines.

Agentforce Vibes introduces vibe coding, a groundbreaking AI-powered technique that enables developers to convert natural language commands into fully operational Salesforce applications that comply with enterprise-grade security, governance, and infrastructure standards. Unlike simpler vibe coding tools that focus mainly on prototyping, Agentforce Vibes addresses the complete development lifecycle, encompassing ideation, construction, testing, deployment, and observability, while effectively integrating with the foundational platform and trust frameworks of Salesforce. Functioning as an AI-enhanced integrated development environment (IDE) that works well with VS Code and similar platforms, it understands your Salesforce schema and metadata, allowing for features like automatic code generation across various languages (Apex, HTML, CSS, JavaScript), smart rule enforcement, test case creation, debugging, rollbacks, and natural language-guided DevOps. Additionally, it supports a range of language models and is extensible through the Model Context Protocol (MCP), which includes over 20 integrated tools, thus encouraging the reuse of existing code and making it a highly adaptable choice for developers. This all-encompassing strategy not only optimizes development workflows but also significantly boosts productivity by minimizing the time and effort required to create sturdy applications, paving the way for a more efficient development environment. With its innovative features, Agentforce Vibes is set to revolutionize the way developers approach application building in the Salesforce ecosystem.

The Nemotron 3 Nano distinguishes itself as the smallest model in NVIDIA's Nemotron 3 series, tailored specifically for agentic AI applications that necessitate strong reasoning and conversational capabilities while ensuring economical inference costs. This innovative hybrid Mamba-Transformer Mixture-of-Experts model is equipped with 3.2 billion active parameters and expands to 3.6 billion when accounting for embeddings, culminating in an impressive total of 31.6 billion parameters. NVIDIA claims that this model achieves superior accuracy compared to its predecessor, the Nemotron 2 Nano, while also operating with less than half of the parameters during each forward pass, thereby boosting efficiency without sacrificing performance. Additionally, it reportedly outperforms both GPT-OSS-20B and Qwen3-30B-A3B-Thinking-2507 across a range of commonly used benchmarks. With an input capacity of 8K and an output limit of 16K utilizing a single H200, the model realizes an inference throughput that is 3.3 times higher than that of Qwen3-30B-A3B and 2.2 times that of GPT-OSS-20B. Furthermore, the Nemotron 3 Nano can manage context lengths of up to 1 million tokens, reinforcing its dominance over GPT-OSS-20B and Qwen3-30B-A3B-Instruct-2507. This extraordinary amalgamation of capabilities not only enhances its precision and efficiency but also positions the Nemotron 3 Nano as a premier option for cutting-edge AI endeavors that require top-tier performance. As the demand for advanced AI solutions grows, the relevance of such models will likely continue to expand.

Agentforce 360 for Nonprofits is Salesforce’s industry-specific CRM solution designed to help nonprofit organizations scale their mission-driven work. It brings together fundraising, program delivery, marketing, volunteer management, and grantmaking within a single, connected platform. By centralizing stakeholder data, nonprofits gain a comprehensive 360-degree view of donors, clients, volunteers, and partners. AI-powered Agentforce tools automate manual processes and deliver actionable insights to improve efficiency. Nonprofit Cloud supports impact measurement and outcome tracking across programs. Teams can collaborate seamlessly with shared dashboards and unified reporting. Built-in marketing and engagement tools personalize outreach and strengthen community relationships. Volunteer and grant management capabilities simplify coordination and oversight. The platform enables data-driven decision-making while ensuring secure and compliant operations. Salesforce’s ecosystem of partners and community resources further extends nonprofit capabilities. Organizations can adapt quickly to changing needs while sustaining long-term growth. Agentforce 360 empowers nonprofits to amplify their impact through smarter operations and trusted AI innovation.

Agentforce Service by Salesforce is an AI-enhanced CRM platform built to transform customer service operations. Previously known as Service Cloud, it integrates conversational AI, automation, and real-time data into one unified system. The platform connects every service touchpoint, from contact centers to field operations. AI-powered agents deliver proactive, personalized support and suggest next-best actions to representatives. The Service Console provides a centralized command center for managing cases, incidents, and workflows. Knowledge management capabilities ensure AI-generated responses are grounded in trusted information. Automation tools streamline onboarding, case resolution, and policy compliance. Slack integration enables real-time collaboration and swarming directly from the console. Incident management tools help detect potential issues before they escalate. Self-service portals reduce case volume while empowering customers. Advanced analytics measure performance and optimize resource allocation. Agentforce Service enables organizations to become agentic enterprises by blending human expertise with intelligent AI at scale.

Agentforce Commerce by Salesforce is an enterprise ecommerce platform designed to connect digital and physical commerce experiences. Previously known as Commerce Cloud, it delivers unified commerce across online storefronts, POS systems, and order management. The platform leverages Agentforce AI to enhance merchandising, automate processes, and provide guided shopping experiences. Businesses can manage B2C and B2B transactions within a single, integrated system. Composable and headless commerce capabilities allow brands to innovate rapidly while maintaining flexibility. Integrated payment solutions optimize checkout and reduce dependency on third-party integrations. Real-time omnichannel inventory ensures accurate fulfillment and reduced operational costs. Advanced automation accelerates workflows for developers, merchandisers, and administrators. The system is built on Salesforce’s reliable infrastructure with proven high uptime performance. CRM connectivity provides a complete view of customer data across every touchpoint. Agentforce Commerce supports digital transformation with scalable, AI-first architecture. It enables enterprises to deliver seamless, personalized commerce experiences while driving measurable growth.

DeepSeek-V3.2 represents one of the most advanced open-source LLMs available, delivering exceptional reasoning accuracy, long-context performance, and agent-oriented design. The model introduces DeepSeek Sparse Attention (DSA), a breakthrough attention mechanism that maintains high-quality output while significantly lowering compute requirements—particularly valuable for long-input workloads. DeepSeek-V3.2 was trained with a large-scale reinforcement learning framework capable of scaling post-training compute to the level required to rival frontier proprietary systems. Its Speciale variant surpasses GPT-5 on reasoning benchmarks and achieves performance comparable to Gemini-3.0-Pro, including gold-medal scores in the IMO and IOI 2025 competitions. The model also features a fully redesigned agentic training pipeline that synthesizes tool-use tasks and multi-step reasoning data at scale. A new chat template architecture introduces explicit thinking blocks, robust tool-interaction formatting, and a specialized developer role designed exclusively for search-powered agents. To support developers, the repository includes encoding utilities that translate OpenAI-style prompts into DeepSeek-formatted input strings and parse model output safely. DeepSeek-V3.2 supports inference using safetensors and fp8/bf16 precision, with recommendations for ideal sampling settings when deployed locally. The model is released under the MIT license, ensuring maximal openness for commercial and research applications. Together, these innovations make DeepSeek-V3.2 a powerful choice for building next-generation reasoning applications, agentic systems, research assistants, and AI infrastructures.

Agentforce Communications is Salesforce’s industry-specific AI CRM platform built to support the evolving needs of communications and telecom providers. Previously known as Communications Cloud, it delivers a comprehensive digital BSS suite that connects commerce, service, and revenue operations. The platform simplifies complex middle-office functions with prebuilt applications tailored to telecom business models. AI-powered agents automate customer service interactions, including billing inquiries, order tracking, and account updates. Predictive analytics provide churn insights and recommended actions to protect revenue and improve customer retention. The Enterprise Product Catalog supports sophisticated product modeling, version control, and lifecycle management. Integrated industry CPQ capabilities streamline the product-to-cash journey across direct and partner sales channels. The communications-specific data model reduces customization requirements and speeds time to value. Guided workflows and intelligent service consoles improve efficiency for service representatives. Integration with third-party BSS and OSS systems ensures interoperability across telecom environments. Automation and AI reduce IT complexity while enhancing agility. Agentforce Communications helps providers scale operations, improve customer satisfaction, and drive sustainable revenue growth in a competitive market.

Agentforce Health is Salesforce’s purpose-built AI CRM platform for healthcare providers, payers, and public health organizations. Previously known as Health Cloud, it connects clinical, operational, and engagement data within a unified and compliant environment. The platform includes healthcare-specific data models, workflows, and interoperability standards to support complex care ecosystems. By integrating EHR systems and third-party applications, it ensures a seamless flow of accurate, real-time information. AI agents powered by Agentforce automate administrative processes, reduce manual workloads, and deliver actionable insights directly in the flow of work. Contact centers benefit from instant summaries of medical histories, eligibility, claims, and provider networks. Integrated Care Management tools enable flexible care plans and close care gaps efficiently. Intelligent document automation extracts and classifies data from faxes and forms to accelerate processing. Population health and disease surveillance capabilities support proactive interventions and faster response times. Built-in compliance and governance features maintain privacy and regulatory alignment. Health Cloud also integrates with Data 360, MuleSoft, Marketing Cloud, Slack, and Service Cloud for expanded functionality. Agentforce Health empowers healthcare organizations to deliver connected, personalized, and efficient care experiences at scale.

ERNIE X1.1 represents a significant advancement in Baidu’s line of reasoning models, offering major gains in accuracy and reliability. It improves factual accuracy by 34.8%, instruction following by 12.5%, and agentic capabilities by 9.6% compared to ERNIE X1. These enhancements place it above DeepSeek R1-0528 in benchmark evaluations and on par with leading frontier models such as GPT-5 and Gemini 2.5 Pro. The model leverages the foundation of ERNIE 4.5 while adding extensive mid-training and post-training optimizations, including reinforcement learning to refine reasoning depth. With a focus on reducing hallucinations, it produces more trustworthy outputs and follows user instructions with higher fidelity. Its improved agentic functions mean it can handle more complex, action-driven workflows like planning, chained reasoning, and task execution. Developers and businesses can integrate ERNIE X1.1 into their systems through ERNIE Bot, the Wenxiaoyan app, or the Qianfan MaaS platform’s API. This makes it adaptable for enterprise use cases such as customer support automation, knowledge management, and intelligent assistants. The model’s transparency and output reliability position it as a competitive alternative in the global AI landscape. By combining accuracy, usability, and advanced reasoning, ERNIE X1.1 establishes itself as a trusted solution for high-stakes applications.

Agentforce 360 for Financial Services is Salesforce’s comprehensive AI CRM platform tailored for the financial industry. It helps institutions become agentic enterprises by embedding autonomous AI into everyday workflows. The platform unifies data across banking, insurance, lending, and wealth management operations. Financial Services Cloud centralizes customer profiles, financial goals, and life events into a single connected experience. AI-driven automation enhances productivity for advisors, bankers, producers, and service representatives. Real-time insights enable teams to proactively recommend products and services aligned with customer needs. The system streamlines onboarding, compliance, and digital lending processes. Industry-specific solutions support retail banking, commercial banking, credit unions, property and casualty insurance, life insurance, and asset management. Built-in analytics measure ROI and uncover performance improvements. Agentforce empowers employees to focus on relationship-building rather than administrative tasks. The platform integrates seamlessly with Salesforce’s broader ecosystem and partner network. Agentforce 360 enables financial institutions to deliver personalized, data-driven experiences while accelerating growth.

Agentforce Media is Salesforce’s comprehensive CRM solution designed for the media and entertainment industry. Previously known as Media Cloud, it leverages Agentforce AI to connect audience, advertiser, and operational data across a unified ecosystem. The platform enables companies to streamline advertising sales, subscription services, and customer engagement. With prebuilt industry workflows and a customizable data model, organizations can simplify complex media processes. AI-driven insights help optimize campaign performance and forecast revenue opportunities. Advertising Sales Management tools support proposal generation, CPQ, and order fulfillment in one integrated system. Subscriber Lifecycle Management enhances personalization and reduces churn through predictive analytics. Media companies can launch and monetize B2C and B2B services more efficiently. Integration with Salesforce products like Marketing Cloud, Service Cloud, Data 360, and MuleSoft ensures seamless data activation. Automation capabilities lower operating costs while improving team productivity. Real-time dashboards provide visibility into sales pipelines and audience behavior. Agentforce Media empowers media enterprises to modernize operations and maximize monetization in an increasingly digital marketplace.

AgentExchange is an integrated AI marketplace within Salesforce, offering businesses access to a wide range of agentic AI components that can streamline workflows and boost productivity. The platform simplifies the process of discovering, purchasing, and deploying AI agents by providing a library of pre-built actions, topics, and templates, allowing businesses to integrate AI-driven automation directly into their Salesforce environment. By collaborating with over 200 Salesforce partners, AgentExchange brings together a variety of solutions tailored to different business needs, industries, and use cases. The marketplace makes it easy to enhance the Salesforce experience by enabling businesses to find, test, and deploy intelligent agents with minimal development effort. Whether you are looking to optimize your sales process, improve customer service, or automate administrative tasks, AgentExchange offers a seamless way to implement AI-powered solutions that drive efficiency and deliver actionable insights. It also offers resources to help users learn more about AI and AI agents through training courses and guides, ensuring businesses are equipped to make the most out of their AI-powered solutions.

The Phi-4-mini-flash-reasoning model, boasting 3.8 billion parameters, is a key part of Microsoft's Phi series, tailored for environments with limited processing capabilities such as edge and mobile platforms. Its state-of-the-art SambaY hybrid decoder architecture combines Gated Memory Units (GMUs) with Mamba state-space and sliding-window attention layers, resulting in performance improvements that are up to ten times faster and decreasing latency by two to three times compared to previous iterations, while still excelling in complex reasoning tasks. Designed to support a context length of 64K tokens and fine-tuned on high-quality synthetic datasets, this model is particularly effective for long-context retrieval and real-time inference, making it efficient enough to run on a single GPU. Accessible via platforms like Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, Phi-4-mini-flash-reasoning presents developers with the tools to build applications that are both rapid and highly scalable, capable of performing intensive logical processing. This extensive availability encourages a diverse group of developers to utilize its advanced features, paving the way for creative and innovative application development in various fields.

DeepSeek-V3.2-Speciale represents the pinnacle of DeepSeek’s open-source reasoning models, engineered to deliver elite performance on complex analytical tasks. It introduces DeepSeek Sparse Attention (DSA), a highly efficient long-context attention design that reduces the computational burden while maintaining deep comprehension and logical consistency. The model is trained with an expanded reinforcement learning framework capable of leveraging massive post-training compute, enabling performance not only comparable to GPT-5 but demonstrably surpassing it in internal tests. Its reasoning capabilities have been validated through gold-winning solutions across major global competitions, including IMO 2025 and IOI 2025, with official submissions released for transparency and peer assessment. DeepSeek-V3.2-Speciale is intentionally designed without tool-calling features, focusing every parameter on pure reasoning, multi-step logic, and structured problem solving. It introduces a reworked chat template featuring explicit thought-delimited sections and a structured message format optimized for agentic-style reasoning workflows. The repository includes Python-based utilities for encoding and parsing messages, illustrating how to format prompts correctly for the model. Supporting multiple tensor types (BF16, FP32, FP8_E4M3), it is built for both research experimentation and high-performance local deployment. Users are encouraged to use temperature = 1.0 and top_p = 0.95 for best results when running the model locally. With its open MIT license and transparent development process, DeepSeek-V3.2-Speciale stands as a breakthrough option for anyone requiring industry-leading reasoning capacity in an open LLM.

Agentforce Energy & Utilities is Salesforce’s AI-first CRM solution designed specifically for energy and utility companies navigating a rapidly changing industry landscape. Previously known as Energy & Utilities Cloud, it integrates customer, asset, billing, and operational data into one connected ecosystem. The platform combines predictive and generative AI with automation to drive efficiency across sales, service, and field operations. Smart Utility Contact Center capabilities provide agents with real-time account insights, usage data, and personalized next-best actions. Industry-specific CPQ tools support advanced quoting for residential, commercial, multi-site, and commodity-based services. Order management and guided selling simplify complex product configurations and customer onboarding. The built-in Energy & Utilities Data Model ensures seamless management of sales, service, work orders, and asset tracking. Consumer Clean Energy Program Management helps organizations oversee conservation programs and accelerate sustainability goals. Field workforce productivity tools improve scheduling, labor optimization, and incident management. Integration with Data 360 activates unified customer and asset data across applications. Tableau and business intelligence solutions transform operational data into actionable insights. Agentforce Energy & Utilities enables providers to enhance customer experiences, optimize cost-to-serve, and lead the energy transition with confidence.

Salesforce Partner Cloud functions as an all-inclusive platform designed to oversee the complete partner ecosystem, utilizing the strengths of Salesforce CRM and Agentforce to streamline every facet of partner interaction from a unified interface. This innovative solution empowers teams to effectively market, sell, service, quote, recruit, onboard, enable, support, and reward their partners through a customizable digital hub that integrates seamlessly with CRM data and automation capabilities. Businesses can leverage user-friendly drag-and-drop templates to craft personalized experiences suited to different partner categories, while features like secure deal registration, lead routing, real-time pipeline tracking, AI-enhanced deal scoring, and Partner Connect simplify the co-selling process across various CRMs. Partners are granted straightforward access to an extensive array of sanctioned marketing materials, campaigns, case studies, knowledge bases, product details, and sales resources, complemented by automated systems for managing Marketing Development Fund requests and their approvals, thereby reducing administrative burdens. Furthermore, resources such as Partner Tracks, in-app guidance, training materials, and Agentforce recommendations equip partners to refine their skills and focus on productive tasks that drive business advancement. In essence, this robust platform not only optimizes partner management but also cultivates stronger collaboration and efficiency among all parties involved, ultimately driving better business outcomes. The continual evolution of this platform ensures that it meets the growing needs of modern businesses and their partners effectively.

Phi-4-mini-reasoning is an advanced transformer-based language model that boasts 3.8 billion parameters, tailored specifically for superior performance in mathematical reasoning and systematic problem-solving, especially in scenarios with limited computational resources and low latency. The model's optimization is achieved through fine-tuning with synthetic data generated by the DeepSeek-R1 model, which effectively balances performance and intricate reasoning skills. Having been trained on a diverse set of over one million math problems that vary from middle school level to Ph.D. complexity, Phi-4-mini-reasoning outperforms its foundational model by generating extensive sentences across numerous evaluations and surpasses larger models like OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1 in various tasks. Additionally, it features a 128K-token context window and supports function calling, which ensures smooth integration with different external tools and APIs. This model can also be quantized using the Microsoft Olive or Apple MLX Framework, making it deployable on a wide range of edge devices such as IoT devices, laptops, and smartphones. Furthermore, its design not only enhances accessibility for users but also opens up new avenues for innovative applications in the realm of mathematics, potentially revolutionizing how such problems are approached and solved.

Agentforce Automotive is Salesforce’s AI-first CRM platform tailored to the unique needs of the automotive industry. Previously known as Automotive Cloud, it connects driver, vehicle, sales, and service data within a unified ecosystem. The platform delivers a comprehensive view of each driver’s lifecycle, from initial purchase through ongoing service and renewal. AI agents provide proactive alerts, intelligent recommendations, and actionable insights directly in the flow of work. Sales and service teams can quickly access context-rich data to resolve issues and strengthen customer relationships. Automotive Cloud simplifies the management of leases, warranties, claims, and dealership interactions. Personalized engagement tools enable immersive experiences that extend beyond the showroom. Integrated automation reduces administrative workload and boosts employee productivity. With Data 360, organizations can harmonize driver and vehicle profiles that evolve over time. MuleSoft connectors integrate critical automotive systems and legacy applications. Marketing Cloud and Commerce Cloud extend personalized campaigns and digital storefront experiences. Agentforce Automotive enables OEMs and dealers to deliver connected, data-driven experiences that drive loyalty, revenue growth, and operational excellence.

Agentforce Marketing by Salesforce is an AI-driven marketing platform designed to deliver dynamic, personalized engagement across the entire customer lifecycle. Previously known as Marketing Cloud, it unifies data, automation, and intelligent agents into a single marketing ecosystem. The platform enables real-time, two-way communication across multiple digital channels. With a centralized customer data foundation, marketers gain a complete and actionable view of every interaction. AI-powered tools help generate audience segments, optimize campaigns, and personalize content automatically. Cross-channel orchestration ensures consistent messaging from acquisition to loyalty. Marketing Cloud supports B2B marketing automation as well as B2C engagement strategies. Built-in analytics measure performance and guide smarter budget allocation. Loyalty management tools help brands deepen customer relationships and drive retention. The platform integrates seamlessly with Salesforce CRM to align marketing with sales and service. Agentforce Marketing continuously learns from data to improve outcomes over time. It enables organizations to spark meaningful conversations and turn engagement into sustained growth.

GLM-4.7 is an advanced AI model engineered to push the boundaries of coding, reasoning, and agent-based workflows. It delivers clear performance gains across software engineering benchmarks, terminal automation, and multilingual coding tasks. GLM-4.7 enhances stability through interleaved, preserved, and turn-level thinking, enabling better long-horizon task execution. The model is optimized for use in modern coding agents, making it suitable for real-world development environments. GLM-4.7 also improves creative and frontend output, generating cleaner user interfaces and more visually accurate slides. Its tool-using abilities have been significantly strengthened, allowing it to interact with browsers, APIs, and automation systems more reliably. Advanced reasoning improvements enable better performance on mathematical and logic-heavy tasks. GLM-4.7 supports flexible deployment, including cloud APIs and local inference. The model is compatible with popular inference frameworks such as vLLM and SGLang. Developers can integrate GLM-4.7 into existing workflows with minimal configuration changes. Its pricing model offers high performance at a fraction of comparable coding models. GLM-4.7 is designed to feel like a dependable coding partner rather than just a benchmark-optimized model.

Transform your business by implementing AI-powered automation that increases revenue, improves decision-making, and lowers costs. The platform's user-friendly design simplifies data processing, and its compatibility with Salesforce guarantees a smooth integration experience. Enjoy a rapid deployment in under an hour, which streamlines the onboarding journey for your team. Effortlessly connect ChatGPT to extract valuable insights from your Salesforce data, empowering your business to thrive confidently while staying within Salesforce's governor limits. GPTfy supports growth while ensuring compliance, even when handling large volumes of data. It securely anonymizes and transmits essential information from Salesforce to ChatGPT and other AI systems for analysis, returning results directly in Salesforce. This capability enables your sales, marketing, customer success, and other teams to fully utilize AI-driven automation for enhanced performance. By leveraging AI technology, businesses can not only make data-driven decisions but also foster a culture of innovation that propels them forward in today's competitive landscape. Embracing these advancements is crucial for long-term success and sustainability in a rapidly evolving market.