List of the Top 4 AI Models for LlamaIndex in 2025

OpenAI is committed to ensuring that artificial general intelligence (AGI)—characterized by its ability to perform most tasks that are economically important with a level of autonomy that surpasses human capabilities—benefits all of humanity. Our primary goal is to create AGI that is both safe and beneficial; however, we also view our mission as a success if we empower others to reach this same objective. You can take advantage of our API for numerous language-based functions, such as semantic search, summarization, sentiment analysis, content generation, translation, and much more, all achievable with just a few examples or a clear instruction in English. A simple integration gives you access to our ever-evolving AI technology, enabling you to test the API's features through these sample completions and uncover a wide array of potential uses. As you explore, you may find innovative ways to harness this technology for your projects or business needs.

Claude exemplifies an advanced AI language model designed to comprehend and generate text that closely mirrors human communication. Anthropic is an institution focused on the safety and research of artificial intelligence, striving to create AI systems that are reliable, understandable, and controllable. Although modern large-scale AI systems bring significant benefits, they also introduce challenges like unpredictability and opacity; therefore, our aim is to address these issues head-on. At present, our main focus is on progressing research to effectively confront these challenges; however, we foresee a wealth of opportunities in the future where our initiatives could provide both commercial success and societal improvements. As we forge ahead, we remain dedicated to enhancing the safety, functionality, and overall user experience of AI technologies, ensuring they serve humanity's best interests.

CodeQwen acts as the programming equivalent of Qwen, a collection of large language models developed by the Qwen team at Alibaba Cloud. This model, which is based on a transformer architecture that operates purely as a decoder, has been rigorously pre-trained on an extensive dataset of code. It is known for its strong capabilities in code generation and has achieved remarkable results on various benchmarking assessments. CodeQwen can understand and generate long contexts of up to 64,000 tokens and supports 92 programming languages, excelling in tasks such as text-to-SQL queries and debugging operations. Interacting with CodeQwen is uncomplicated; users can start a dialogue with just a few lines of code leveraging transformers. The interaction is rooted in creating the tokenizer and model using pre-existing methods, utilizing the generate function to foster communication through the chat template specified by the tokenizer. Adhering to our established guidelines, we adopt the ChatML template specifically designed for chat models. This model efficiently completes code snippets according to the prompts it receives, providing responses that require no additional formatting changes, thereby significantly enhancing the user experience. The smooth integration of these components highlights the adaptability and effectiveness of CodeQwen in addressing a wide range of programming challenges, making it an invaluable tool for developers.

Jamba has emerged as the leading long context model, specifically crafted for builders and tailored to meet enterprise requirements. It outperforms other prominent models of similar scale with its exceptional latency and features a groundbreaking 256k context window, the largest available. Utilizing the innovative Mamba-Transformer MoE architecture, Jamba prioritizes cost efficiency and operational effectiveness. Among its out-of-the-box features are function calls, JSON mode output, document objects, and citation mode, all aimed at improving the overall user experience. The Jamba 1.5 models excel in performance across their expansive context window and consistently achieve top-tier scores on various quality assessment metrics. Enterprises can take advantage of secure deployment options customized to their specific needs, which facilitates seamless integration with existing systems. Furthermore, Jamba is readily accessible via our robust SaaS platform, and deployment options also include collaboration with strategic partners, providing users with added flexibility. For organizations that require specialized solutions, we offer dedicated management and ongoing pre-training services, ensuring that each client can make the most of Jamba’s capabilities. This level of adaptability and support positions Jamba as a premier choice for enterprises in search of innovative and effective solutions for their needs. Additionally, Jamba's commitment to continuous improvement ensures that it remains at the forefront of technological advancements, further solidifying its reputation as a trusted partner for businesses.