Find and compare the best Artificial Intelligence software for LiteLLM in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for LiteLLM on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Vertex AI
Google
Free ($300 in free credits) 714 RatingsVertex AI empowers organizations to seamlessly incorporate advanced intelligent systems into their workflows, revolutionizing customer engagement, data analysis, and decision-making processes. This platform features an extensive suite of AI-driven tools and models designed to tackle intricate challenges, streamline operations, and deliver valuable insights. Catering to a wide range of sectors, including finance and healthcare, Vertex AI offers adaptable solutions that can be customized to meet unique business requirements. New users benefit from $300 in complimentary credits, allowing them to explore various AI applications and expedite their digital transformation journey. With Vertex AI, companies are equipped with the essential resources to leverage AI technology, paving the way for new avenues of growth and innovation. -
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Amazon Bedrock
Amazon
72 RatingsAmazon Bedrock is a comprehensive service that streamlines the development and expansion of generative AI applications by offering access to a diverse range of high-performance foundation models (FMs) from top AI organizations, including AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Utilizing a unified API, developers have the opportunity to explore these models, personalize them through methods such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that can engage with various enterprise systems and data sources. As a serverless solution, Amazon Bedrock removes the complexities associated with infrastructure management, enabling the effortless incorporation of generative AI functionalities into applications while prioritizing security, privacy, and ethical AI practices. This service empowers developers to innovate rapidly, ultimately enhancing the capabilities of their applications and fostering a more dynamic tech ecosystem. -
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OpenRouter
OpenRouter
$2 one-time payment 1 RatingOpenRouter serves as a consolidated interface for various large language models (LLMs). It efficiently identifies the most competitive prices and optimal latencies/throughputs from numerous providers, allowing users to establish their own priorities for these factors. There’s no need to modify your existing code when switching between different models or providers, making the process seamless. Users also have the option to select and finance their own models. Instead of relying solely on flawed evaluations, OpenRouter enables the comparison of models based on their actual usage across various applications. You can engage with multiple models simultaneously in a chatroom setting. The payment for model usage can be managed by users, developers, or a combination of both, and the availability of models may fluctuate. Additionally, you can access information about models, pricing, and limitations through an API. OpenRouter intelligently directs requests to the most suitable providers for your chosen model, in line with your specified preferences. By default, it distributes requests evenly among the leading providers to ensure maximum uptime; however, you have the flexibility to tailor this process by adjusting the provider object within the request body. Prioritizing providers that have maintained a stable performance without significant outages in the past 10 seconds is also a key feature. Ultimately, OpenRouter simplifies the process of working with multiple LLMs, making it a valuable tool for developers and users alike. -
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Docker streamlines tedious configuration processes and is utilized across the entire development lifecycle, facilitating swift, simple, and portable application creation on both desktop and cloud platforms. Its all-encompassing platform features user interfaces, command-line tools, application programming interfaces, and security measures designed to function cohesively throughout the application delivery process. Jumpstart your programming efforts by utilizing Docker images to craft your own distinct applications on both Windows and Mac systems. With Docker Compose, you can build multi-container applications effortlessly. Furthermore, it seamlessly integrates with tools you already use in your development workflow, such as VS Code, CircleCI, and GitHub. You can package your applications as portable container images, ensuring they operate uniformly across various environments, from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE, and beyond. Additionally, Docker provides access to trusted content, including official Docker images and those from verified publishers, ensuring quality and reliability in your application development journey. This versatility and integration make Docker an invaluable asset for developers aiming to enhance their productivity and efficiency.
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Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.
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Perplexity
Perplexity AI
Free 3 RatingsPerplexity AI is a fast-answer search engine accessible for free via its website perplexity.at, as well as through desktop apps and mobile devices on iPhone and Android. This innovative search platform leverages large language models to deliver precise and context-aware responses to a wide range of questions. Built to handle both broad and detailed queries, Perplexity AI combines artificial intelligence with live search functionality to gather and summarize information from multiple sources. Emphasizing user-friendliness and transparency, it frequently includes citations or direct links to its reference materials. Its mission is to simplify the information-gathering process while ensuring responses are clear, accurate, and reliable—making it an essential resource for researchers and professionals alike. -
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OpenAI aims to guarantee that artificial general intelligence (AGI)—defined as highly autonomous systems excelling beyond human capabilities in most economically significant tasks—serves the interests of all humanity. While we intend to develop safe and advantageous AGI directly, we consider our mission successful if our efforts support others in achieving this goal. You can utilize our API for a variety of language-related tasks, including semantic search, summarization, sentiment analysis, content creation, translation, and beyond, all with just a few examples or by clearly stating your task in English. A straightforward integration provides you with access to our continuously advancing AI technology, allowing you to explore the API’s capabilities through these illustrative completions and discover numerous potential applications.
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Gemini, an innovative AI chatbot from Google, aims to boost creativity and productivity through engaging conversations in natural language. Available on both web and mobile platforms, it works harmoniously with multiple Google services like Docs, Drive, and Gmail, allowing users to create content, condense information, and handle tasks effectively. With its multimodal abilities, Gemini can analyze and produce various forms of data, including text, images, and audio, which enables it to deliver thorough support in numerous scenarios. As it continually learns from user engagement, Gemini customizes its responses to provide personalized and context-sensitive assistance, catering to diverse user requirements. Moreover, this adaptability ensures that it evolves alongside its users, making it a valuable tool for anyone looking to enhance their workflow and creativity.
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DeepSeek stands out as a state-of-the-art AI assistant, leveraging the sophisticated DeepSeek-V3 model that boasts an impressive 600 billion parameters for superior performance. Created to rival leading AI systems globally, it delivers rapid responses alongside an extensive array of features aimed at enhancing daily tasks' efficiency and simplicity. Accessible on various platforms, including iOS, Android, and web, DeepSeek guarantees that users can connect from virtually anywhere. The application offers support for numerous languages and is consistently updated to enhance its capabilities, introduce new language options, and fix any issues. Praised for its smooth functionality and adaptability, DeepSeek has received enthusiastic reviews from a diverse user base around the globe. Furthermore, its commitment to user satisfaction and continuous improvement ensures that it remains at the forefront of AI technology.
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Mistral AI
Mistral AI
Free 1 RatingMistral AI stands out as an innovative startup in the realm of artificial intelligence, focusing on open-source generative solutions. The company provides a diverse array of customizable, enterprise-level AI offerings that can be implemented on various platforms, such as on-premises, cloud, edge, and devices. Among its key products are "Le Chat," a multilingual AI assistant aimed at boosting productivity in both personal and professional settings, and "La Plateforme," a platform for developers that facilitates the creation and deployment of AI-driven applications. With a strong commitment to transparency and cutting-edge innovation, Mistral AI has established itself as a prominent independent AI laboratory, actively contributing to the advancement of open-source AI and influencing policy discussions. Their dedication to fostering an open AI ecosystem underscores their role as a thought leader in the industry. -
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Cohere is a robust enterprise AI platform that empowers developers and organizations to create advanced applications leveraging language technologies. With a focus on large language models (LLMs), Cohere offers innovative solutions for tasks such as text generation, summarization, and semantic search capabilities. The platform features the Command family designed for superior performance in language tasks, alongside Aya Expanse, which supports multilingual functionalities across 23 different languages. Emphasizing security and adaptability, Cohere facilitates deployment options that span major cloud providers, private cloud infrastructures, or on-premises configurations to cater to a wide array of enterprise requirements. The company partners with influential industry players like Oracle and Salesforce, striving to weave generative AI into business applications, thus enhancing automation processes and customer interactions. Furthermore, Cohere For AI, its dedicated research lab, is committed to pushing the boundaries of machine learning via open-source initiatives and fostering a collaborative global research ecosystem. This commitment to innovation not only strengthens their technology but also contributes to the broader AI landscape.
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Claude represents a sophisticated artificial intelligence language model capable of understanding and producing text that resembles human communication. Anthropic is an organization dedicated to AI safety and research, aiming to develop AI systems that are not only dependable and understandable but also controllable. While contemporary large-scale AI systems offer considerable advantages, they also present challenges such as unpredictability and lack of transparency; thus, our mission is to address these concerns. Currently, our primary emphasis lies in advancing research to tackle these issues effectively; however, we anticipate numerous opportunities in the future where our efforts could yield both commercial value and societal benefits. As we continue our journey, we remain committed to enhancing the safety and usability of AI technologies.
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Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications. Observability: Incorporate Langfuse into your app to start ingesting traces. Langfuse UI : inspect and debug complex logs, user sessions and user sessions Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports Evals: Calculate and collect scores for your LLM completions Experiments: Track app behavior and test it before deploying new versions Why Langfuse? - Open source - Models and frameworks are agnostic - Built for production - Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents - Use GET to create downstream use cases and export the data
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With a suite observability tools, you can confidently evaluate, test and ship LLM apps across your development and production lifecycle. Log traces and spans. Define and compute evaluation metrics. Score LLM outputs. Compare performance between app versions. Record, sort, find, and understand every step that your LLM app makes to generate a result. You can manually annotate and compare LLM results in a table. Log traces in development and production. Run experiments using different prompts, and evaluate them against a test collection. You can choose and run preconfigured evaluation metrics, or create your own using our SDK library. Consult the built-in LLM judges to help you with complex issues such as hallucination detection, factuality and moderation. Opik LLM unit tests built on PyTest provide reliable performance baselines. Build comprehensive test suites for every deployment to evaluate your entire LLM pipe-line.
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Taam Cloud is a comprehensive platform for integrating and scaling AI APIs, providing access to more than 200 advanced AI models. Whether you're a startup or a large enterprise, Taam Cloud makes it easy to route API requests to various AI models with its fast AI Gateway, streamlining the process of incorporating AI into applications. The platform also offers powerful observability features, enabling users to track AI performance, monitor costs, and ensure reliability with over 40 real-time metrics. With AI Agents, users only need to provide a prompt, and the platform takes care of the rest, creating powerful AI assistants and chatbots. Additionally, the AI Playground lets users test models in a safe, sandbox environment before full deployment. Taam Cloud ensures that security and compliance are built into every solution, providing enterprises with peace of mind when deploying AI at scale. Its versatility and ease of integration make it an ideal choice for businesses looking to leverage AI for automation and enhanced functionality.
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Enable enterprises and developers to harness advanced neural search, generative AI, and multimodal services by leveraging cutting-edge LMOps, MLOps, and cloud-native technologies. The presence of multimodal data is ubiquitous, ranging from straightforward tweets and Instagram photos to short TikTok videos, audio clips, Zoom recordings, PDFs containing diagrams, and 3D models in gaming. While this data is inherently valuable, its potential is often obscured by various modalities and incompatible formats. To facilitate the development of sophisticated AI applications, it is essential to first address the challenges of search and creation. Neural Search employs artificial intelligence to pinpoint the information you seek, enabling a description of a sunrise to correspond with an image or linking a photograph of a rose to a melody. On the other hand, Generative AI, also known as Creative AI, utilizes AI to produce content that meets user needs, capable of generating images based on descriptions or composing poetry inspired by visuals. The interplay of these technologies is transforming the landscape of information retrieval and creative expression.
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Clarifai
Clarifai
$0Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware -
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Arize AI
Arize AI
$50/month Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available. -
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Anyscale
Anyscale
$0.00006 per minuteAnyscale is a configurable AI platform that unifies tools and infrastructure to accelerate the development, deployment, and scaling of AI and Python applications using Ray. At its core is RayTurbo, an enhanced version of the open-source Ray framework, optimized for faster, more reliable, and cost-effective AI workloads, including large language model inference. The platform integrates smoothly with popular developer environments like VSCode and Jupyter notebooks, allowing seamless code editing, job monitoring, and dependency management. Users can choose from flexible deployment models, including hosted cloud services, on-premises machine pools, or existing Kubernetes clusters, maintaining full control over their infrastructure. Anyscale supports production-grade batch workloads and HTTP services with features such as job queues, automatic retries, Grafana observability dashboards, and high availability. It also emphasizes robust security with user access controls, private data environments, audit logs, and compliance certifications like SOC 2 Type II. Leading companies report faster time-to-market and significant cost savings with Anyscale’s optimized scaling and management capabilities. The platform offers expert support from the original Ray creators, making it a trusted choice for organizations building complex AI systems. -
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Helicone
Helicone
$1 per 10,000 requestsMonitor expenses, usage, and latency for GPT applications seamlessly with just one line of code. Renowned organizations that leverage OpenAI trust our service. We are expanding our support to include Anthropic, Cohere, Google AI, and additional platforms in the near future. Stay informed about your expenses, usage patterns, and latency metrics. With Helicone, you can easily integrate models like GPT-4 to oversee API requests and visualize outcomes effectively. Gain a comprehensive view of your application through a custom-built dashboard specifically designed for generative AI applications. All your requests can be viewed in a single location, where you can filter them by time, users, and specific attributes. Keep an eye on expenditures associated with each model, user, or conversation to make informed decisions. Leverage this information to enhance your API usage and minimize costs. Additionally, cache requests to decrease latency and expenses, while actively monitoring errors in your application and addressing rate limits and reliability issues using Helicone’s robust features. This way, you can optimize performance and ensure that your applications run smoothly. -
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Amazon SageMaker
Amazon
Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment. -
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NVIDIA Triton Inference Server
NVIDIA
FreeThe NVIDIA Triton™ inference server provides efficient and scalable AI solutions for production environments. This open-source software simplifies the process of AI inference, allowing teams to deploy trained models from various frameworks, such as TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, and more, across any infrastructure that relies on GPUs or CPUs, whether in the cloud, data center, or at the edge. By enabling concurrent model execution on GPUs, Triton enhances throughput and resource utilization, while also supporting inferencing on both x86 and ARM architectures. It comes equipped with advanced features such as dynamic batching, model analysis, ensemble modeling, and audio streaming capabilities. Additionally, Triton is designed to integrate seamlessly with Kubernetes, facilitating orchestration and scaling, while providing Prometheus metrics for effective monitoring and supporting live updates to models. This software is compatible with all major public cloud machine learning platforms and managed Kubernetes services, making it an essential tool for standardizing model deployment in production settings. Ultimately, Triton empowers developers to achieve high-performance inference while simplifying the overall deployment process. -
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Baseten
Baseten
FreeBaseten is a cloud-native platform focused on delivering robust and scalable AI inference solutions for businesses requiring high reliability. It enables deployment of custom, open-source, and fine-tuned AI models with optimized performance across any cloud or on-premises infrastructure. The platform boasts ultra-low latency, high throughput, and automatic autoscaling capabilities tailored to generative AI tasks like transcription, text-to-speech, and image generation. Baseten’s inference stack includes advanced caching, custom kernels, and decoding techniques to maximize efficiency. Developers benefit from a smooth experience with integrated tooling and seamless workflows, supported by hands-on engineering assistance from the Baseten team. The platform supports hybrid deployments, enabling overflow between private and Baseten clouds for maximum performance. Baseten also emphasizes security, compliance, and operational excellence with 99.99% uptime guarantees. This makes it ideal for enterprises aiming to deploy mission-critical AI products at scale. -
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Hugging Face
Hugging Face
$9 per monthHugging Face is an AI community platform that provides state-of-the-art machine learning models, datasets, and APIs to help developers build intelligent applications. The platform’s extensive repository includes models for text generation, image recognition, and other advanced machine learning tasks. Hugging Face’s open-source ecosystem, with tools like Transformers and Tokenizers, empowers both individuals and enterprises to build, train, and deploy machine learning solutions at scale. It offers integration with major frameworks like TensorFlow and PyTorch for streamlined model development. -
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Predibase
Predibase
Declarative machine learning systems offer an ideal combination of flexibility and ease of use, facilitating the rapid implementation of cutting-edge models. Users concentrate on defining the “what” while the system autonomously determines the “how.” Though you can start with intelligent defaults, you have the freedom to adjust parameters extensively, even diving into code if necessary. Our team has been at the forefront of developing declarative machine learning systems in the industry, exemplified by Ludwig at Uber and Overton at Apple. Enjoy a selection of prebuilt data connectors designed for seamless compatibility with your databases, data warehouses, lakehouses, and object storage solutions. This approach allows you to train advanced deep learning models without the hassle of infrastructure management. Automated Machine Learning achieves a perfect equilibrium between flexibility and control, all while maintaining a declarative structure. By adopting this declarative method, you can finally train and deploy models at the speed you desire, enhancing productivity and innovation in your projects. The ease of use encourages experimentation, making it easier to refine models based on your specific needs.
