Alternatives to Claude 3.5 Sonnet

LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents. Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development. Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.

DeepSeek Coder, a cutting edge software tool, is designed to revolutionize data analysis and coding. It allows users to seamlessly integrate data analysis, visualization, and querying into their workflow by leveraging advanced machine-learning algorithms and natural language processing. DeepSeek Coder's intuitive interface allows both novice and experienced coders to efficiently write, optimize, and test code. Its powerful set of features include real-time code completion, intelligent syntax checking, and comprehensive debugging, all designed to streamline coding. DeepSeek Coder can also understand and interpret complex data, allowing users to create sophisticated data-driven apps with ease.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Open source AI model that you can fine-tune and distill anywhere. Our latest instruction-tuned models are available in 8B 70B and 405B version. Our open ecosystem allows you to build faster using a variety of product offerings that are differentiated and support your use cases. Choose between real-time or batch inference. Download model weights for further cost-per-token optimization. Adapt to your application, improve using synthetic data, and deploy on-prem. Use Llama components and extend the Llama model using RAG and zero shot tools to build agentic behavior. Use 405B high-quality data to improve specialized model for specific use cases.

DeepSeek-V3 is an advanced AI model built to excel in natural language comprehension, sophisticated reasoning, and decision-making across a wide range of applications. Harnessing innovative neural architectures and vast datasets, it offers exceptional capabilities for addressing complex challenges in fields like research, development, business analytics, and automation. Designed for both scalability and efficiency, DeepSeek-V3 empowers developers and organizations to drive innovation and unlock new possibilities with state-of-the-art AI solutions.

The Gemini 1.5 Pro AI Model is a state of the art language model that delivers highly accurate, context aware, and human like responses across a wide range of applications. It excels at natural language understanding, generation and reasoning tasks. The model has been fine-tuned to support tasks such as content creation, code-generation, data analysis, or complex problem-solving. Its advanced algorithms allow it to adapt seamlessly to different domains, conversational styles and languages. The Gemini 1.5 Pro, with its focus on scalability, is designed for both small-scale and enterprise-level implementations. It is a powerful tool to enhance productivity and innovation.

GPT-4o (o for "omni") is an important step towards a more natural interaction between humans and computers. It accepts any combination as input, including text, audio and image, and can generate any combination of outputs, including text, audio and image. It can respond to audio in as little as 228 milliseconds with an average of 325 milliseconds. This is similar to the human response time in a conversation (opens in new window). It is as fast and cheaper than GPT-4 Turbo on text in English or code. However, it has a significant improvement in text in non-English language. GPT-4o performs better than existing models at audio and vision understanding.

Gemini 2.0 Flash-Lite is Google DeepMind's most cost-efficient AI model, delivering strong performance while minimizing expenses. Designed for developers and businesses seeking an affordable AI solution, it supports multimodal inputs and offers a one-million-token context window for diverse applications. As the most budget-friendly option in the Gemini 2.0 family, Flash-Lite enables users to integrate advanced AI capabilities without high costs. Currently available in public preview, it provides an opportunity to explore its potential for enhancing AI-driven projects.

The Gemini 2.0 Flash AI represents the next-generation of high-speed intelligent computing. It is designed to set new standards in real-time decision-making and language processing. It builds on the solid foundation of its predecessor and incorporates enhanced neural technology and breakthrough advances in optimization to enable even faster and more accurate response times. Gemini 2.0 Flash was designed for applications that require instantaneous processing, adaptability, and live virtual assistants. Its lightweight and efficient design allows for seamless deployment across cloud and hybrid environments. Multitasking and improved contextual understanding make it an ideal tool to tackle complex and dynamic workflows.

Gemini-Exp-1206 is an advanced AI model now available for early access to Gemini Advanced subscribers. Designed to excel in areas like programming, complex problem-solving, reasoning, and following intricate instructions, it pushes the boundaries of AI capabilities. This preview version offers users a glimpse into its powerful features, though some functionalities may still be refined. While real-time data access is not yet included, Gemini-Exp-1206 can be easily accessed via the Gemini model selection on both desktop and mobile platforms.

Gemini 2.0 Flash Thinking is a cutting-edge AI advancement from Google DeepMind, designed to enhance problem-solving by making its reasoning process more transparent. Unlike traditional models that provide only final outputs, Gemini 2.0 explicitly showcases its thought process, allowing users to follow its logic step by step. This approach improves accuracy, reduces errors, and builds trust by making AI-driven decisions more explainable. By breaking down complex problems into clear, logical steps, it becomes a powerful tool for research, analysis, and decision-making in various fields. Whether applied in science, engineering, or creative problem-solving, Gemini 2.0 Flash Thinking represents a major leap forward in AI’s ability to think critically and provide deeper insights.

Grok-3, created by xAI, marks a major leap forward in artificial intelligence, aiming to redefine standards in the field. As a multimodal AI, it is engineered to process and interpret diverse data types, including text, images, and audio, enabling seamless and comprehensive user interactions. Grok-3 was trained at an unparalleled scale, utilizing 100,000 Nvidia H100 GPUs on the Colossus supercomputer—ten times the computational resources of its predecessor. This massive processing capability positions Grok-3 to excel in tasks such as advanced reasoning, coding, and real-time analysis of current events via direct integration with X posts. With these advancements, Grok-3 is poised to surpass previous iterations and compete at the forefront of generative AI innovation.

Grok-2 is the latest AI technology. It is a marvel in modern engineering that aims to push the limits of what artificial intelligence has the potential to achieve. Grok-2, the latest iteration of AI technology, is a marvel of modern engineering. It's designed to push the boundaries of what artificial intelligence can achieve. Grok-2, with its expanded knowledge base, which reaches back to the recent past and offers a unique perspective on humanity as well as humor, is a truly engaging AI. It can answer nearly any question in the most helpful way possible, and often provides solutions that are both innovative as well as outside of the box. Grok-2's design is based on truthfulness and avoids the pitfalls associated with woke culture. It strives to provide information and entertainment that are reliable in a complex world.

Grok-3 Mini, developed by xAI, is a compact yet powerful AI designed to provide quick and insightful responses to a wide array of queries. It embodies the same curious and outside perspective on humanity as its larger counterparts but in a more streamlined form. Despite its smaller size, Grok-3 Mini retains core functionalities, offering maximum helpfulness in understanding both simple and complex topics. It's tailored for efficiency, making it ideal for users seeking fast, reliable answers without the need for extensive computational resources. This mini version is perfect for on-the-go queries, providing a balance between performance and accessibility.

Grok 3 Reasoning marks a significant evolution in AI cognitive capabilities, courtesy of xAI's innovative approach. This reasoning engine is built to excel in dissecting complex problems, offering solutions through a combination of logical, intuitive, and creative thought processes. Grok 3 Reasoning goes beyond simple pattern recognition, engaging in deep analysis that includes counterfactual reasoning, scenario planning, and ethical considerations. It's designed to mimic human-like reasoning by integrating multiple forms of logic, from the deductive to the analogical, allowing it to navigate through ambiguity and uncertainty with remarkable clarity. This system aims to provide not just answers but a comprehensive walkthrough of the reasoning process, making it an invaluable tool for understanding the intricacies behind decision-making, problem-solving, and predictive analysis. With Grok 3 Reasoning, the boundaries of AI's ability to think like us are pushed further, offering insights that are both profound and practically applicable.

OpenAI's deep research is an AI-driven tool designed to automate and streamline complex research tasks across diverse fields, including science, coding, and mathematics. It processes user queries alongside various input formats—such as text documents, images, PDFs, and spreadsheets—then autonomously plans and executes a research strategy to generate detailed responses. The tool delivers results in minutes, providing citations and summaries of its methodology for transparency. While it enhances efficiency, it may occasionally introduce inaccuracies or struggle to differentiate between reliable and unreliable sources. Currently accessible to ChatGPT Pro users, deep research marks a step forward in AI-assisted knowledge exploration, with ongoing improvements in accuracy and performance.

Mistral Large is a state-of-the-art language model developed by Mistral AI, designed for advanced text generation, multilingual reasoning, and complex problem-solving. Supporting multiple languages, including English, French, Spanish, German, and Italian, it provides deep linguistic understanding and cultural awareness. With an extensive 32,000-token context window, the model can process and retain information from long documents with exceptional accuracy. Its strong instruction-following capabilities and native function-calling support make it an ideal choice for AI-driven applications and system integrations. Available via Mistral’s platform, Azure AI Studio, and Azure Machine Learning, it can also be self-hosted for privacy-sensitive use cases. Benchmark results position Mistral Large as one of the top-performing models accessible through an API, second only to GPT-4.

OpenAI o1 pro is an enhanced version of OpenAI’s o1 model. It was designed to handle more complex and demanding tasks, with greater reliability. It has significant performance improvements compared to its predecessor, the OpenAI o1 Preview, with a noticeable 34% reduction in errors and the ability think 50% faster. This model excels at math, physics and coding where it can provide accurate and detailed solutions. The o1 Pro mode is also capable of processing multimodal inputs including text and images. It is especially adept at reasoning tasks requiring deep thought and problem solving. ChatGPT Pro subscriptions offer unlimited usage as well as enhanced capabilities to users who need advanced AI assistance.

OpenAI o1 is a new series AI models developed by OpenAI that focuses on enhanced reasoning abilities. These models, such as o1 preview and o1 mini, are trained with a novel reinforcement-learning approach that allows them to spend more time "thinking through" problems before presenting answers. This allows o1 excel in complex problem solving tasks in areas such as coding, mathematics, or science, outperforming other models like GPT-4o. The o1 series is designed to tackle problems that require deeper thinking processes. This marks a significant step in AI systems that can think more like humans.

OpenAI o3 Mini is a lightweight version o3 AI model that offers powerful reasoning capabilities, but in a more accessible and efficient package. O3-mini is designed to break complex instructions down into smaller, more manageable steps. It excels at coding tasks, competitive programing, and problem solving in mathematics and sciences. This compact model offers the same high level of precision and logic that its larger counterpart, but with reduced computation requirements. It is ideal for use in resource constrained environments. The o3 mini's deliberative alignment ensures ethical, safe and context-aware decisions. This makes it a versatile tool that can be used by developers, researchers and businesses looking for a balance between performance, efficiency and safety.

OpenAI o3 has been designed to improve reasoning by breaking complex instructions down into smaller, easier-to-understand steps. It is a significant improvement over previous AI versions, excelling at coding tasks, competitive programing, and achieving high marks in mathematics and science benchmarks. OpenAI o3 is a widely-used AI-driven decision-making and problem-solving tool that supports advanced AI. The model uses deliberative alignment to ensure that its responses are in line with established safety and ethics guidelines. This makes it a powerful tool, especially for developers, researchers and enterprises looking for sophisticated AI solutions.

Our new flagship model, the Small Language Model (SLM), has all the power and performance that you would expect from a leading LLM. Excels at generalized tasks, instruction-following, and human preferences. The best 70B model available. SuperNova is a generalized task-based AI that can be used for any generalized task. It's similar to Open AI's GPT4o and Claude Sonnet 3.5. SuperNova is trained with the most advanced optimization & learning techniques to generate highly accurate responses. It is the most flexible, cost-effective, and secure language model available. Customers can save up to 95% in total deployment costs when compared with traditional closed-source models. SuperNova can be used to integrate AI in apps and products, as well as for general chat and a variety of other uses. Update your models regularly with the latest open source tech to ensure you're not locked into a single solution. Protect your data using industry-leading privacy features.

The o3-mini-high model from OpenAI represents a significant leap in AI reasoning capabilities, building on the foundation laid by its predecessor, the o1 series. This model is finely tuned for tasks requiring deep reasoning, particularly in coding, mathematics, and complex problem-solving scenarios. It introduces an adaptive thinking time feature, allowing users to tailor the AI's processing efforts to match the complexity of the task, with options for low, medium, and high reasoning modes. o3-mini-high has been reported to outperform o1 models on various benchmarks, including Codeforces, where it achieved a notable 200 Elo points higher than o1. It offers a cost-effective solution with performance that rivals higher-end models, maintaining the speed and accuracy needed for both casual and professional use. This model is part of the o3 family, which is designed to push the boundaries of AI's problem-solving abilities while ensuring that these advanced capabilities are accessible to a broader audience, including through a free tier and enhanced usage limits for Plus subscribers.

Opus, our intelligent model, is superior to its peers in most of the common benchmarks for AI systems. These include undergraduate level expert knowledge, graduate level expert reasoning, basic mathematics, and more. It displays near-human levels in terms of comprehension and fluency when tackling complex tasks. This is at the forefront of general intelligence. All Claude 3 models have increased capabilities for analysis and forecasting. They also offer nuanced content generation, code generation and the ability to converse in non-English language such as Spanish, Japanese and French.

Claude 3 Haiku has the fastest and most affordable model of its intelligence class. Haiku's powerful performance and state-of-the art vision capabilities make it a versatile solution that can be used for a variety of enterprise applications. The model is available in the Claude API alongside Sonnet and Opus for our Claude Pro customers.

Qwen LLM is a family of large-language models (LLMs), developed by Damo Academy, an Alibaba Cloud subsidiary. These models are trained using a large dataset of text and codes, allowing them the ability to understand and generate text that is human-like, translate languages, create different types of creative content and answer your question in an informative manner. Here are some of the key features of Qwen LLMs. Variety of sizes: Qwen's series includes sizes ranging from 1.8 billion parameters to 72 billion, offering options that meet different needs and performance levels. Open source: Certain versions of Qwen have open-source code, which is available to anyone for use and modification. Qwen is multilingual and can translate multiple languages including English, Chinese and Japanese. Qwen models are capable of a wide range of tasks, including text summarization and code generation, as well as generation and translation.

Our fastest model, which delivers advanced coding, tool usage, and reasoning for an affordable price Claude 3.5 Haiku, our next-generation model, is our fastest. Claude 3.5 Haiku is faster than Claude 3 Haiku and has improved in every skill set. It also surpasses Claude 3 Opus on many intelligence benchmarks. Claude 3.5 Haiku can be accessed via our first-party APIs, Amazon Bedrock and Google Cloud Vertex AI. Initially, it is available as a text only model, with image input coming later.

Qwen2.5-Max is an advanced Mixture-of-Experts (MoE) model from the Qwen team, trained on more than 20 trillion tokens and enhanced through Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). It surpasses models like DeepSeek V3 in key benchmarks, including Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, while also performing strongly in broader evaluations like MMLU-Pro. Available via API on Alibaba Cloud, Qwen2.5-Max can also be tested interactively through Qwen Chat, offering users a powerful tool for diverse AI-driven applications.

Qwen2-VL, the latest version in the Qwen model family of vision language models, is based on Qwen2. Qwen2-VL is a newer version of Qwen-VL that has: SoTA understanding of images with different resolutions & ratios: Qwen2-VL reaches state-of-the art performance on visual understanding benchmarks including MathVista DocVQA RealWorldQA MTVQA etc. Understanding videos over 20 min: Qwen2-VL is able to understand videos longer than 20 minutes, allowing for high-quality video-based questions, dialogs, content creation, and more. Agent that can control your mobiles, robotics, etc. Qwen2-VL, with its complex reasoning and decision-making abilities, can be integrated into devices such as mobile phones, robots and other devices for automatic operation using visual environment and text instruction. Multilingual Support - To serve users worldwide, Qwen2-VL supports texts in other languages within images, besides English or Chinese.

Tülu 3 is a cutting-edge instruction-following language model created by the Allen Institute for AI (AI2), designed to enhance reasoning, coding, mathematics, knowledge retrieval, and safety. Built on the Llama 3 Base model, Tülu 3 undergoes a four-stage post-training process that includes curated prompt synthesis, supervised fine-tuning, preference tuning with diverse datasets, and reinforcement learning to improve targeted skills with verifiable results. As an open-source model, it prioritizes transparency by providing access to training data, evaluation tools, and code, bridging the gap between open and proprietary AI fine-tuning techniques. Performance evaluations demonstrate that Tülu 3 surpasses other similarly sized open-weight models, including Llama 3.1-Instruct and Qwen2.5-Instruct, across multiple benchmarks.

Qwen2.5-VL is an advanced vision-language model in the Qwen series, offering improved visual comprehension and reasoning over its predecessor, Qwen2-VL. It can accurately interpret a wide range of visual elements, including text, charts, icons, and layouts, making it highly effective for complex image and document analysis. Acting as an intelligent visual agent, the model can dynamically interact with tools, analyze extended video content over an hour long, and identify key segments with precision. It also excels in object localization, generating bounding boxes or points with structured JSON outputs for various attributes. Additionally, Qwen2.5-VL supports structured data extraction from documents such as invoices, forms, and tables, benefiting industries like finance and commerce. Available in base and instruct versions across 3B, 7B, and 72B model sizes, it is accessible on platforms like Hugging Face and ModelScope for seamless integration.

Claude 4 is the upcoming evolution of Anthropic’s AI language model, expected to introduce significant improvements in reasoning, efficiency, and multimodal capabilities. While official details are yet to be confirmed, industry speculation suggests it may include enhanced contextual understanding, faster response times, and potentially support for image and video analysis. Designed to push the boundaries of AI-powered assistance, Claude 4 aims to serve industries such as finance, healthcare, technology, and customer service with more intelligent and adaptive interactions. Though no official release date has been announced, it is anticipated to launch in early 2025, marking another major step forward in AI-driven communication and problem-solving.

Sonar is an enhanced version of Perplexity's AI search engine. Sonar, which is based on the Llama model 3.3 70B, has been given additional training in order to improve the accuracy and readability (in Perplexity's default mode) of the responses. This improvement aims to provide users with more precise and comprehensible responses while maintaining the platform’s characteristic efficiency. Sonar provides real-time web-wide Q&A and research capabilities. Developers can integrate these features through a lightweight and cost-effective API. The Sonar API supports advanced sonar models such as sonar reasoning-pro and sonar pro, which are designed for complex tasks that require deep understanding and context memory. These models provide detailed answers, with twice as many citations on average as previous versions. This increases the reliability and transparency of the information provided.

Claude is an artificial intelligence language model that can generate text with human-like processing. Anthropic is an AI safety company and research firm that focuses on building reliable, interpretable and steerable AI systems. While large, general systems can provide significant benefits, they can also be unpredictable, unreliable and opaque. Our goal is to make progress in these areas. We are currently focusing on research to achieve these goals. However, we see many opportunities for our work in the future to create value both commercially and for the public good.

Yi-Large, a proprietary large language engine developed by 01.AI with a 32k context size and input and output costs of $2 per million tokens. It is distinguished by its advanced capabilities in common-sense reasoning and multilingual support. It performs on par with leading models such as GPT-4 and Claude3 when it comes to various benchmarks. Yi-Large was designed to perform tasks that require complex inference, language understanding, and prediction. It is suitable for applications such as knowledge search, data classifying, and creating chatbots. Its architecture is built on a decoder only transformer with enhancements like pre-normalization, Group Query attention, and has been trained using a large, high-quality, multilingual dataset. The model's versatility, cost-efficiency and global deployment potential make it a strong competitor in the AI market.

DeepSeek-R1 is a cutting-edge open-source reasoning model crafted by DeepSeek, designed to compete with leading models like OpenAI's o1. Available through web platforms, applications, and APIs, it excels in tackling complex challenges such as mathematics and programming. With outstanding performance on benchmarks like the AIME and MATH, DeepSeek-R1 leverages a mixture of experts (MoE) architecture, utilizing 671 billion total parameters while activating 37 billion parameters per token for exceptional efficiency and accuracy. This model exemplifies DeepSeek’s dedication to driving advancements in artificial general intelligence (AGI) through innovative and open source solutions.

Claude Pro is a large language model that can handle complex tasks with a friendly and accessible demeanor. It is trained on high-quality, extensive data and excels at understanding contexts, interpreting subtleties, and producing well structured, coherent responses to a variety of topics. Claude Pro is able to create detailed reports, write creative content, summarize long documents, and assist with coding tasks by leveraging its robust reasoning capabilities and refined knowledge base. Its adaptive algorithms constantly improve its ability learn from feedback. This ensures that its output is accurate, reliable and helpful. Whether Claude Pro is serving professionals looking for expert support or individuals seeking quick, informative answers - it delivers a versatile, productive conversational experience.

Google AI Studio is an online tool that's free and allows individuals and small groups to create apps and chatbots by using natural language prompting. It allows users to create API keys and prompts for app development. Google AI Studio allows users to discover Gemini Pro's APIs, create prompts and fine-tune Gemini. It also offers generous free quotas, allowing 60 requests a minute. Google has also developed a Generative AI Studio based on Vertex AI. It has models of various types that allow users to generate text, images, or audio content.

Google's Gemini Deep Research is an AI-driven tool designed to enhance web-based research by automating complex information gathering and analysis. It utilizes advanced reasoning and contextual understanding to assist users in exploring in-depth topics, compiling structured reports, and summarizing key insights. By autonomously navigating multiple research steps, it collects relevant data from various sources and presents organized findings along with direct links for further exploration. This tool streamlines the research process, saving users time while ensuring comprehensive coverage of their topics. Available to Gemini Advanced subscribers, it provides an efficient way to synthesize vast amounts of information with AI-powered assistance.

Mistral AI has introduced "les Ministraux", two advanced models, for on-device computing applications and edge applications. These models are Ministral 3B (the Ministraux) and Ministral 8B (the Ministraux). These models excel at knowledge, commonsense logic, function-calling and efficiency in the sub-10B parameter area. They can handle up to 128k contexts and are suitable for a variety of applications, such as on-device translations, offline smart assistants and local analytics. Ministral 8B has an interleaved sliding window attention pattern that allows for faster and memory-efficient inference. Both models can be used as intermediaries for multi-step agentic processes, handling tasks such as input parsing and task routing and API calls with low latency. Benchmark evaluations show that les Ministraux consistently performs better than comparable models in multiple tasks. Both models will be available as of October 16, 2024. Ministral 8B is priced at $0.1 for every million tokens.

As a tribute for Archimedes' 2311th birthday, which we celebrate this year, we release our first Mathstral 7B model, designed specifically for math reasoning and scientific discoveries. The model comes with a 32k context-based window that is published under the Apache 2.0 License. Mathstral is a tool we're donating to the science community in order to help solve complex mathematical problems that require multi-step logical reasoning. The Mathstral release was part of a larger effort to support academic project, and it was produced as part of our collaboration with Project Numina. Mathstral, like Isaac Newton at his time, stands on Mistral 7B's shoulders and specializes in STEM. It has the highest level of reasoning in its size category, based on industry-standard benchmarks. It achieves 56.6% in MATH and 63.47% in MMLU. The following table shows the MMLU performance differences between Mathstral and Mistral 7B.

The next generation of the large language model. This release includes modelweights and starting code to pretrained and fine tuned Llama languages models, ranging from 7B-70B parameters. Llama 1 models have a context length of 2 trillion tokens. Llama 2 models have a context length double that of Llama 1. The fine-tuned Llama 2 models have been trained using over 1,000,000 human annotations. Llama 2, a new open-source language model, outperforms many other open-source language models in external benchmarks. These include tests of reasoning, coding and proficiency, as well as knowledge tests. Llama 2 has been pre-trained using publicly available online data sources. Llama-2 chat, a fine-tuned version of the model, is based on publicly available instruction datasets, and more than 1 million human annotations. We have a wide range of supporters in the world who are committed to our open approach for today's AI. These companies have provided early feedback and have expressed excitement to build with Llama 2

Gemini 2.0 Pro is Google DeepMind’s cutting-edge AI model, built for advanced reasoning, coding, and problem-solving tasks. With a massive two-million-token context window, it can process extensive datasets with remarkable efficiency. One of its key strengths is its ability to integrate with external tools, such as Google Search and code execution environments, enabling more precise and informed responses. Currently in an experimental phase, Gemini 2.0 Pro pushes the boundaries of AI capabilities, making it a valuable asset for developers and researchers tackling complex challenges.

Amazon Bedrock is a managed AWS service designed to make building and scaling generative AI applications easier by providing access to a diverse range of foundation models (FMs) from leading providers such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can test, fine-tune, and customize these models to meet specific use cases using advanced techniques like Retrieval Augmented Generation (RAG). The platform allows for the creation of intelligent agents that seamlessly integrate with enterprise systems and data sources, enabling enhanced automation and decision-making. Bedrock’s serverless architecture removes the need for infrastructure management, ensuring high scalability and minimal operational complexity. With a focus on security, data privacy, and responsible AI, Amazon Bedrock empowers organizations to accelerate innovation while maintaining trust and compliance. It represents a powerful tool for businesses aiming to integrate cutting-edge AI solutions into their operations effortlessly.

GPT-4.5 marks a significant advancement in large language models, building upon the strengths of GPT-4. This iteration is expected to offer a deeper grasp of context, sharper reasoning abilities, and superior multilingual support, resulting in more seamless and intuitive interactions. It may introduce enhanced personalization, adapting dynamically to a user’s tone, writing style, and even subtle emotional cues. With a broader knowledge base and potential real-time learning, GPT-4.5 could excel at delivering the latest information, generating precise content, and tackling complex problems with greater accuracy. The goal of this evolution would be to further blur the boundaries between human and AI communication, making conversations feel even more natural. While these expectations align with the general trajectory of AI progress, official details remain unconfirmed.

Adept is a ML product and research lab that builds general intelligence by enabling computers and humans to work together creatively. Designed and specifically trained to take actions on computers in response your natural language commands. ACT-1 is the first step in a foundation model which can be used with any software tool, API or website. Adept is creating a completely new way to accomplish tasks. It takes your goals in plain language and turns them into action on the software that you use every single day. We believe AI systems should be designed with users in mind -- where machines and people work together to find new solutions, make better decisions, and give us more time to do the things we love.

LTM-2 mini is a 100M token model: LTM-2 mini. 100M tokens is 10,000,000 lines of code, or 750 novels. LTM-2 mini's sequence-dimension algorithms is approximately 1000x cheaper for each token decoded than the attention mechanism of Llama 3.0 405B1 when a 100M tokens context window is used. LTM only requires a fraction of one H100 HBM per user to store the same context.

Command R+, Cohere's latest large language model, is optimized for conversational interactions and tasks with a long context. It is designed to be extremely performant and enable companies to move from proof-of-concept into production. We recommend Command R+ when working with workflows that rely on complex RAG functionality or multi-step tool usage (agents). Command R is better suited for retrieval augmented creation (RAG) tasks and single-step tool usage, or applications where cost is a key consideration.

Qwen2.5-1M is an advanced open-source language model developed by the Qwen team, capable of handling up to one million tokens in context. This release introduces two upgraded variants, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, marking a significant expansion in Qwen's capabilities. To enhance efficiency, the team has also released an optimized inference framework built on vLLM, incorporating sparse attention techniques that accelerate processing speeds by 3x to 7x for long-context inputs. The update enables more efficient handling of extensive text sequences, making it ideal for complex tasks requiring deep contextual understanding. Additional insights into the model’s architecture and performance improvements are detailed in the accompanying technical report.

Yi-Lightning is the latest large language model developed by 01.AI, under the leadership Kai-Fu Lee. It focuses on high performance, cost-efficiency, and a wide range of languages. It has a maximum context of 16K tokens, and costs $0.14 per million tokens both for input and output. This makes it very competitive. Yi-Lightning uses an enhanced Mixture-of-Experts architecture that incorporates fine-grained expert segments and advanced routing strategies to improve its efficiency. This model has excelled across a variety of domains. It achieved top rankings in categories such as Chinese, math, coding and hard prompts in the chatbot arena where it secured the sixth position overall and ninth in style control. Its development included pre-training, supervised tuning, and reinforcement learning based on human feedback. This ensured both performance and safety with optimizations for memory usage and inference speeds.