Alternatives to LLM API

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.

Amazon API Gateway is an entirely managed service designed to simplify the process for developers to create, publish, maintain, monitor, and secure APIs, regardless of scale. Serving as the "entrance" for applications, APIs facilitate access to data, business logic, or services from the backend. Through API Gateway, developers can build both RESTful and WebSocket APIs, which are essential for enabling real-time two-way communication in applications. This service supports both containerized and serverless environments as well as web applications. It efficiently manages the complexities of processing hundreds of thousands of simultaneous API requests, handling traffic management, CORS, authorization and access control, throttling, monitoring, and versioning. Moreover, there are no upfront fees or minimum charges associated with API Gateway; instead, you only pay for the API calls and data transfer you utilize. With a tiered pricing structure, as your API usage grows, you can benefit from reduced costs, making it a cost-effective solution for businesses of all sizes. Additionally, the simplicity and scalability of API Gateway allow developers to focus more on building features rather than managing infrastructure.

Mistral 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.

OpenRouter is a unified AI inference platform that lets developers connect to a large catalog of models without integrating separately with every model provider. Through one API, users can access models from major AI companies including OpenAI, Google, Anthropic, Meta, Mistral, DeepSeek, Qwen, xAI, and numerous independent providers. The service supports multimodal workloads involving text, images, video, and audio. Developers can use a single account, credit balance, and API key across supported models instead of maintaining separate billing relationships and credentials. OpenRouter's routing infrastructure can prioritize providers based on factors such as price, latency, and reliability. Requests can also be redirected to alternate providers when a preferred endpoint becomes unavailable, helping applications maintain higher uptime. Organizations can configure data policies that restrict prompts to approved models and infrastructure providers. The platform provides benchmarks, model rankings, usage information, documentation, and developer tools for evaluating and deploying different models. OpenRouter is OpenAI API compatible, making it easier for teams to add broad model access to existing AI applications with limited integration changes.

MuleSoft provides a unified platform for enterprises that need to connect, manage, govern, and orchestrate AI agents, APIs, models, applications, and data at scale. It serves as an agentic control plane that helps organizations bring structure and visibility to fast-growing AI environments. Through MuleSoft Agent Fabric, companies can govern and coordinate agents regardless of where they were built, helping improve performance, compliance, and return on investment. MuleSoft Omni Gateway extends control across APIs, agents, and models, allowing teams to manage development, deployment, security, and policy enforcement from a single place. The platform also includes tools such as Agent Registry and Agent Scanners to identify, catalog, and monitor agents across major AI platforms. With Agent Broker and A2A support, MuleSoft helps agents collaborate across systems while giving businesses more control over how tasks are routed and completed. Organizations can also use MuleSoft MCP Support and Anypoint Connectors to transform existing applications, APIs, and systems into resources that AI agents can use. For developers, MuleSoft offers options ranging from natural language building with MuleSoft Vibes to pro-code development with Anypoint Code Builder. MuleSoft is designed for enterprises that want to scale agentic AI securely while maintaining governance, integration, observability, and operational consistency.

RouterBase serves as a comprehensive API gateway, allowing developers and teams to utilize over 200 AI models, including well-known options like GPT, Claude, Gemini, Llama, Mistral, and DeepSeek, all through one OpenAI-compatible endpoint. This eliminates the need for managing different keys and billing systems for each model, as switching between them is as simple as changing a single configuration line. Additionally, RouterBase enhances functionality with intelligent routing, built-in failover capabilities across various providers, and consolidated billing, ensuring that your application remains operational even in the event of an upstream provider failure. Moreover, a free tier is offered with no requirement for a credit card, making it accessible for users to explore the service. With RouterBase, developers can streamline their workflow and focus on building innovative applications without the hassle of juggling multiple integrations.

Crazyrouter serves as an AI API gateway that provides developers with seamless access to over 300 AI models through a single API key, making it easier to integrate various AI technologies. It is fully compatible with the OpenAI SDK format and supports a wide array of models, including GPT-5, Claude, Gemini, DeepSeek, Llama, Mistral, and many others, all while offering pricing that can be as much as 50% lower than if purchased directly from the providers. Key Features: • One API key grants access to more than 300 models (including OpenAI, Anthropic, Google, Meta, etc.) • OpenAI-compatible API format allows for a hassle-free transition without requiring code modifications • Flexible pay-as-you-go pricing structure with no need for monthly subscriptions • Integrated load balancing, failover solutions, and management of rate limits • A real-time dashboard for monitoring usage and tracking tokens • Compatibility with text, image, video, audio, and embedding models • Reliable enterprise-grade uptime supported by multi-region infrastructure This solution is perfect for developers, startups, and teams who are keen to explore multiple AI models without the complications of managing individual API keys and billing accounts, allowing them to focus more on innovation and development.

TokLab provides a hosted API platform that enables developers to seamlessly access a range of AI models tailored for tasks involving language, images, video, and audio. By utilizing a single API key along with model endpoints, developers can integrate various models into their applications effortlessly. The platform features a comprehensive model catalog that outlines the available functionalities and the associated pricing specific to each model, while the API documentation offers guidance on authentication methods and request formats. TokLab operates on a pay-per-successful-request basis, eliminating the need for a recurring subscription; instead, users can fund their account balance to cover model usage costs. Developers are empowered to enhance their applications and workflows with capabilities such as text generation, image creation, video production, and audio processing. Since the capabilities and pricing differ from one model to another, users are encouraged to select their preferred model and check its rates prior to making a request. Furthermore, TokLab includes documentation on its compatibility with various MCP clients and tools, such as Claude Code, Cursor, Codex CLI, and Visual Studio Code, to facilitate a smooth development experience. This integration helps ensure that developers can easily leverage advanced AI capabilities within their existing environments.

FastRouter serves as a comprehensive API gateway designed to facilitate AI applications in accessing a variety of large language, image, and audio models (such as GPT-5, Claude 4 Opus, Gemini 2.5 Pro, and Grok 4) through a streamlined OpenAI-compatible endpoint. Its automatic routing capabilities intelligently select the best model for each request by considering important factors like cost, latency, and output quality, ensuring optimal performance. Additionally, FastRouter is built to handle extensive workloads without any imposed query per second limits, guaranteeing high availability through immediate failover options among different model providers. The platform also incorporates robust cost management and governance functionalities, allowing users to establish budgets, enforce rate limits, and designate model permissions for each API key or project. Real-time analytics are provided, offering insights into token utilization, request frequencies, and spending patterns. Furthermore, the integration process is remarkably straightforward; users simply need to replace their OpenAI base URL with FastRouter’s endpoint while configuring their preferences in the user-friendly dashboard, allowing the routing, optimization, and failover processes to operate seamlessly in the background. This ease of use, combined with powerful features, makes FastRouter an indispensable tool for developers seeking to maximize the efficiency of their AI applications.

APIPark serves as a comprehensive, open-source AI gateway and API developer portal designed to streamline the management, integration, and deployment of AI services for developers and businesses alike. Regardless of the AI model being utilized, APIPark offers a seamless integration experience. It consolidates all authentication management and monitors API call expenditures, ensuring a standardized data request format across various AI models. When changing AI models or tweaking prompts, your application or microservices remain unaffected, which enhances the overall ease of AI utilization while minimizing maintenance expenses. Developers can swiftly integrate different AI models and prompts into new APIs, enabling the creation of specialized services like sentiment analysis, translation, or data analytics by leveraging OpenAI GPT-4 and customized prompts. Furthermore, the platform’s API lifecycle management feature standardizes the handling of APIs, encompassing aspects such as traffic routing, load balancing, and version control for publicly available APIs, ultimately boosting the quality and maintainability of these APIs. This innovative approach not only facilitates a more efficient workflow but also empowers developers to innovate more rapidly in the AI space.

AnyAPI is a flexible AI integration platform designed to unify access to multiple large language models. It eliminates the need to manage separate accounts and APIs for different AI providers. With one subscription, developers can use GPT, Claude, Gemini, Grok, Mistral, and more through a single endpoint. The platform is optimized for fast setup, clean code, and scalable deployment. AnyAPI supports Python, JavaScript, Go, REST, and SDK-based integrations. Built-in model switching allows applications to dynamically choose the best model for each task. Long-context support enables handling large documents and extended conversations. Advanced access controls help teams manage API keys, roles, and usage limits. Usage dashboards provide clear visibility into consumption and performance. AnyAPI accelerates product development from MVP to production.

Sufy MaaS is a cloud-based API service that facilitates access to extensive language and generative media models from a single platform. It caters to developers and businesses that are creating applications incorporating text, image, and video models. Users can send requests via an API, easily adapting existing SDK code from OpenAI or Anthropic by simply altering the endpoint and API key. Billing is based on model usage, employing token-based rates for text models while certain image and video services have their own distinct billing units. Each company is granted a generous evaluation allowance of 100 million text-model tokens to use within a 30-day period. The platform not only encourages model experimentation but also enables seamless application integration and production inference workflows, with variations in rates, availability, and features depending on the specific model in use. By offering such a comprehensive suite of services, Sufy MaaS positions itself as a versatile solution for various media processing needs.

The Excession API grants hosted access to DeepSeek V4.1 Flash and its variant, DeepSeek V4.1 Flash Abliterated, utilizing endpoints that are compatible with OpenAI's Chat Completions, OpenAI Responses, and Anthropic Messages. Developers are empowered to incorporate these models into their applications by leveraging streaming capabilities and tool calls, and they can easily select models based on their API identifiers while monitoring usage and costs. Furthermore, the API features endpoints for model catalogs, API keys, account management, and balance inquiries, all subject to request rate limits and billing based on usage. This functionality is designed to assist developers in creating AI applications and agents, including those that require authorized security workflows with the abliterated model. Users have the flexibility to either add a pay-as-you-go balance or opt for a monthly subscription that includes API credits. Notably, both models come with a context limit of 1,048,576 tokens, and while token rates differ depending on the model, any unused credits from the monthly plan will expire upon renewal. Ultimately, the Excession API serves as a comprehensive resource for developers looking to enhance their projects with advanced AI capabilities.

CheapTokens offers a pay-as-you-go API service tailored for developers who are creating AI agents, coding workflows, and applications utilizing open-weight language models. The platform features a model catalog that highlights various families, including DeepSeek, GLM, and MiniMax. It supplies API endpoints that are compatible with both OpenAI and Anthropic, allowing developers to utilize existing tools seamlessly. By using a CheapTokens API key, a base URL, and a model ID, developers can easily connect to the supported resources. The billing operates from a prepaid USD balance, charging separate rates for input and output tokens, and eliminates the need for a monthly subscription. Pricing is transparently outlined per million tokens used. Additionally, the website offers comprehensive API documentation, practical request examples, and detailed integration guides for various coding assistants and agent tools, ensuring developers have the resources they need for effective implementation. This combination of accessible pricing and robust support makes CheapTokens an appealing choice for many in the developer community.

UncensoredLLM serves as a comprehensive API gateway compatible with OpenAI, designed for utilizing uncensored, modified, and roleplay-optimized language models. Developers have the flexibility to choose models by their unique IDs and integrate them seamlessly into their applications, whether through code or compatible chat, writing, and coding clients, utilizing a straightforward base URL and API key for access. The extensive catalog features various builds from model families, including DeepSeek, GLM, Qwen, Gemma, Kimi, and Llama, each with distinct input and output token pricing structures. Additionally, the same API key grants users access to endpoints for generating images and videos, with costs incurred per image or per second of video. Users are billed based on a prepaid balance, and there's a browser-based playground that allows a limited number of free interactions with selected models each day. Publicly available model pages provide insights into catalog details and pricing, while each model undergoes a daily fixed-prompt verification process to ensure accuracy in reported input-token usage, enhancing the reliability of the service. This systematic approach not only improves transparency but also builds user trust in the platform’s capabilities.

GroqCloud is an AI inference platform engineered to deliver exceptional speed and efficiency for modern AI applications. It enables developers to run high-demand models with low latency and predictable performance at scale. Unlike traditional GPU-based platforms, GroqCloud is powered by a custom-built LPU designed exclusively for inference workloads. The platform supports a wide range of generative AI use cases, including large language models, speech processing, and vision-based inference. Developers can prototype quickly using the free tier and move into production with flexible, pay-per-token pricing. GroqCloud integrates easily with standard frameworks and tools, reducing setup time. Its global deployment footprint ensures minimal latency through regional availability zones. Enterprise-grade security features include SOC 2, GDPR, and HIPAA compliance. Optional private tenancy supports sensitive and regulated workloads. GroqCloud makes high-speed AI inference accessible without unpredictable infrastructure costs.

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.

BetterToken serves as a hosted API gateway for language models, enabling access to a variety of providers such as Anthropic, OpenAI, Moonshot, Z.ai, DeepSeek, Alibaba Cloud, and MiniMax through unique account keys. It features endpoints that are compatible with both OpenAI and Anthropic models, along with a Responses-compatible configuration for Codex, allowing developers to seamlessly link coding tools, applications, agents, and automation workflows via a personalized base URL. Users can explore a dynamic model catalog, monitor their token consumption and associated fees within the workspace, and make payments through either a prepaid balance or monthly subscription plans. The costs associated with different models depend on the input, output, and whether cached or media tokens are utilized. Comprehensive setup guides are available for tools such as Claude Code, Codex, Cursor, Dify, and n8n. Ultimately, BetterToken is designed to assist developers and teams in incorporating hosted language models into their software solutions and automated processes efficiently. With its user-friendly interface and variety of features, BetterToken aims to simplify the integration of advanced language technologies into everyday applications.

Snowflake Cortex AI is a serverless, fully managed platform designed for organizations to leverage unstructured data and develop generative AI applications within the Snowflake framework. This innovative platform provides access to top-tier large language models (LLMs) such as Meta's Llama 3 and 4, Mistral, and Reka-Core, making it easier to perform various tasks, including text summarization, sentiment analysis, translation, and answering questions. Additionally, Cortex AI features Retrieval-Augmented Generation (RAG) and text-to-SQL capabilities, enabling users to efficiently query both structured and unstructured data. Among its key offerings are Cortex Analyst, which allows business users to engage with data through natural language; Cortex Search, a versatile hybrid search engine that combines vector and keyword search for document retrieval; and Cortex Fine-Tuning, which provides the ability to tailor LLMs to meet specific application needs. Furthermore, this platform empowers organizations to harness the power of AI while simplifying complex data interactions.

Experience a robust, self-service machine learning platform that enables you to transform models into scalable APIs with just a few clicks. Create an account with Deep Infra through GitHub or log in using your GitHub credentials. Select from a vast array of popular ML models available at your fingertips. Access your model effortlessly via a straightforward REST API. Our serverless GPUs allow for quicker and more cost-effective production deployments than building your own infrastructure from scratch. We offer various pricing models tailored to the specific model utilized, with some language models available on a per-token basis. Most other models are charged based on the duration of inference execution, ensuring you only pay for what you consume. There are no long-term commitments or upfront fees, allowing for seamless scaling based on your evolving business requirements. All models leverage cutting-edge A100 GPUs, specifically optimized for high inference performance and minimal latency. Our system dynamically adjusts the model's capacity to meet your demands, ensuring optimal resource utilization at all times. This flexibility supports businesses in navigating their growth trajectories with ease.

Amazon 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.

WisGate serves as an all-in-one AI API gateway tailored for developers, creators, and teams seeking quick access to leading AI models without the hassle of managing multiple providers, keys, or billing systems. This platform provides a single API and an interactive Studio, enabling support for LLMs, image and video generation, and coding workflows across various providers including OpenAI, Anthropic, Google, xAI, and DeepSeek. It is specifically crafted for teams aiming to accelerate their development processes, allowing them to compare different models in a centralized location and select the optimal combination of quality, speed, and cost for their unique projects. Developers can seamlessly incorporate models through straightforward API calls, while creators and non-technical teams benefit from the Studio, where they can effortlessly generate text, images, and videos directly in their web browsers. Additionally, WisGate enhances collaboration by enabling diverse teams to work together efficiently on AI-driven projects.

Vynaris provides teams with robust hosted models that are uncensored and designed for authorized security assessments, red-teaming exercises, and research endeavors. Accessible via an OpenAI-compatible API, models such as Qwen3.8-27B, DeepSeek-V4-Flash-0731, and Qwen3.6-35B-A3B come with publicly listed token rates and ensure there is no retention of prompts or outputs. Additionally, Vynaris enhances the experience by directing requests to a wider array of models and offering clear cost receipts for each request, allowing applications to seamlessly switch models with just a change in the base URL while also enabling users to monitor the expenses associated with individual requests. This innovative approach not only boosts flexibility but also enhances transparency in usage costs for developers and teams.

Utilize sophisticated coding and language models across a diverse range of applications. Harness the power of expansive generative AI models that possess an intricate grasp of both language and code, paving the way for enhanced reasoning and comprehension skills essential for developing innovative applications. These advanced models can be applied to multiple scenarios, including writing support, automatic code creation, and data reasoning. Moreover, ensure responsible AI practices by implementing measures to detect and mitigate potential misuse, all while benefiting from enterprise-level security features offered by Azure. With access to generative models pretrained on vast datasets comprising trillions of words, you can explore new possibilities in language processing, code analysis, reasoning, inferencing, and comprehension. Further personalize these generative models by using labeled datasets tailored to your unique needs through an easy-to-use REST API. Additionally, you can optimize your model's performance by fine-tuning hyperparameters for improved output accuracy. The few-shot learning functionality allows you to provide sample inputs to the API, resulting in more pertinent and context-aware outcomes. This flexibility enhances your ability to meet specific application demands effectively.

kgateway is a widely deployed Kubernetes gateway designed to power modern microservices and AI-driven workloads. It serves as a control plane for advanced ingress, API management, and AI gateway use cases. Built on Envoy and open-source foundations, kgateway implements the Kubernetes Gateway API for consistent, cloud-native connectivity. The platform aggregates APIs and applies authentication, authorization, and rate limiting in one centralized layer. Kgateway also protects AI models, tools, and agents by securing LLM consumption and data access. Intelligent routing capabilities support AI inference workloads directly inside Kubernetes clusters. The platform scales from lightweight microgateways to massively parallel centralized gateways. Kgateway supports agent-to-agent and MCP-based communication through a single secure endpoint. It enables omni-directional API connectivity across hybrid and multi-cloud environments. Kgateway helps organizations innovate faster while maintaining security and governance.

Fireworks collaborates with top generative AI researchers to provide the most efficient models at unparalleled speeds. It has been independently assessed and recognized as the fastest among all inference providers. You can leverage powerful models specifically selected by Fireworks, as well as our specialized multi-modal and function-calling models developed in-house. As the second most utilized open-source model provider, Fireworks impressively generates over a million images each day. Our API, which is compatible with OpenAI, simplifies the process of starting your projects with Fireworks. We ensure dedicated deployments for your models, guaranteeing both uptime and swift performance. Fireworks takes pride in its compliance with HIPAA and SOC2 standards while also providing secure VPC and VPN connectivity. You can meet your requirements for data privacy, as you retain ownership of your data and models. With Fireworks, serverless models are seamlessly hosted, eliminating the need for hardware configuration or model deployment. In addition to its rapid performance, Fireworks.ai is committed to enhancing your experience in serving generative AI models effectively. Ultimately, Fireworks stands out as a reliable partner for innovative AI solutions.

Grokified serves as a cloud-hosted API gateway compatible with OpenAI, allowing users to access Grok models via a unified API endpoint. This platform is designed for developers and AI engineers, facilitating chat interactions and coding tasks, along with handling requests related to images, videos, voice, and various tools. Among its features are API key management, model selection, streaming capabilities, function calling, and tools for tracking usage and costs, alongside management of prepaid balances. Users of OpenAI SDK clients and aligned editors can easily connect by setting up the Grokified base URL and their credentials, while a supplementary command-line interface is available for configuring supported agents. Each request utilizes credits from prepaid accounts, with usage rates that are more affordable than standard pricing, making it an efficient choice for developers. Additionally, Grokified continues to evolve, with ongoing updates that enhance its functionality and integration options.

Enhance and launch AI models using Simplismart's ultra-fast inference engine. Seamlessly connect with major cloud platforms like AWS, Azure, GCP, and others for straightforward, scalable, and budget-friendly deployment options. Easily import open-source models from widely-used online repositories or utilize your personalized custom model. You can opt to utilize your own cloud resources or allow Simplismart to manage your model hosting. With Simplismart, you can go beyond just deploying AI models; you have the capability to train, deploy, and monitor any machine learning model, achieving improved inference speeds while minimizing costs. Import any dataset for quick fine-tuning of both open-source and custom models. Efficiently conduct multiple training experiments in parallel to enhance your workflow, and deploy any model on our endpoints or within your own VPC or on-premises to experience superior performance at reduced costs. The process of streamlined and user-friendly deployment is now achievable. You can also track GPU usage and monitor all your node clusters from a single dashboard, enabling you to identify any resource limitations or model inefficiencies promptly. This comprehensive approach to AI model management ensures that you can maximize your operational efficiency and effectiveness.

Kluster.ai is an AI cloud platform tailored for developers, enabling quick deployment, scaling, and fine-tuning of large language models (LLMs) with remarkable efficiency. Crafted by developers with a focus on developer needs, it features Adaptive Inference, a versatile service that dynamically adjusts to varying workload demands, guaranteeing optimal processing performance and reliable turnaround times. This Adaptive Inference service includes three unique processing modes: real-time inference for tasks requiring minimal latency, asynchronous inference for budget-friendly management of tasks with flexible timing, and batch inference for the streamlined processing of large volumes of data. It accommodates an array of innovative multimodal models for various applications such as chat, vision, and coding, featuring models like Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3. Additionally, Kluster.ai provides an OpenAI-compatible API, simplifying the integration of these advanced models into developers' applications, and thereby enhancing their overall capabilities. This platform ultimately empowers developers to harness the full potential of AI technologies in their projects.

We are revolutionizing API & MCP management for everyone, from startups to enterprises. - Add authentication, analytics, and developer documentation in minutes with our gitops powered deployment flow - Move Fast: Add protection to your API quickly with built-in policies for API key authentication, OAuth, rate-limiting, and more - Programmable: Zuplo is fully extensible; you can write code for your routing and custom policies directly at the gateway - Global Deployment: Zuplo is built on the edge, and is deployed in 300+ data centers around the world with one git push. This makes multi-cloud deployments a first-class experience. Zuplo allows you to run different workloads on different clouds, while maintaining a uniform set of API policies. - OpenAPI-native: Zuplo is the only gateway that runs OpenAPI directly. Use the OpenAPI ecosystem for your API and deploy it directly to Zuplo. - Developer Portal: Zuplo generates beautiful documentation for your API. You can customize your docs using markdown, and developers can self-serve their API Keys right from your docs. - MCP: You can directly generate hosted MCP servers from your OpenAPI and build custom MCP tools directly into Zuplo. We'll take care of the hosting and security. - Monetization: Turn your services into API products. Zuplo allows you to build a self-service monetization flow for Usage-based or Subscription billing.

AI21 Studio offers API access to its Jurassic-1 large language models, which enable robust text generation and understanding across numerous live applications. Tackle any language-related challenge with ease, as our Jurassic-1 models are designed to understand natural language instructions and can quickly adapt to new tasks with minimal examples. Leverage our targeted APIs for essential functions such as summarizing and paraphrasing, allowing you to achieve high-quality outcomes at a competitive price without starting from scratch. If you need to customize a model, fine-tuning is just three clicks away, with training that is both rapid and cost-effective, ensuring that your models are deployed without delay. Enhance your applications by integrating an AI co-writer to provide your users with exceptional capabilities. Boost user engagement and success with features that include long-form draft creation, paraphrasing, content repurposing, and personalized auto-completion options, ultimately enriching the overall user experience. Your application can become a powerful tool in the hands of every user.

A robust platform optimized for training is equipped with NVIDIA® H100 Tensor Core GPUs, offering competitive pricing and personalized support. Designed to handle extensive machine learning workloads, it allows for efficient multihost training across thousands of H100 GPUs interconnected via the latest InfiniBand network, achieving speeds of up to 3.2Tb/s per host. Users benefit from significant cost savings, with at least a 50% reduction in GPU compute expenses compared to leading public cloud services*, and additional savings are available through GPU reservations and bulk purchases. To facilitate a smooth transition, we promise dedicated engineering support that guarantees effective platform integration while optimizing your infrastructure and deploying Kubernetes. Our fully managed Kubernetes service streamlines the deployment, scaling, and management of machine learning frameworks, enabling multi-node GPU training with ease. Additionally, our Marketplace features a variety of machine learning libraries, applications, frameworks, and tools designed to enhance your model training experience. New users can take advantage of a complimentary one-month trial period, ensuring they can explore the platform's capabilities effortlessly. This combination of performance and support makes it an ideal choice for organizations looking to elevate their machine learning initiatives.

The Apigene MCP Gateway serves as the essential runtime layer that links AI agents to APIs and MCP servers via the Model Context Protocol. By presenting agent tools, context, skills, and instructions as a unified remote MCP endpoint that is fully managed and regulated, it transforms MCP into a fully-fledged native solution rather than a mere experimental tool. Apigene offers a comprehensive agent foundation layer encapsulated within a single MCP Gateway, enabling agents to connect securely with APIs and MCP servers without the need for bespoke glue code or framework-specific adaptations. Teams can effortlessly construct AI agents using conversational interfaces, specifying which APIs and MCP servers the agents can access, outlining their reasoning processes, and dictating their actions—all without writing code. Additionally, it features intelligent tool selection that effectively pairs the appropriate API or MCP tool with each request, while also allowing for multi-platform deployment across numerous environments, including ChatGPT, Claude, Cursor, Gemini, VS Code, internal copilots, enterprise AI systems, and custom applications. This powerful integration streamlines the development process, making it easier for teams to leverage AI in their projects.

Our team has developed the quickest AI accelerator, utilizing the most extensive processor available in the market, and have ensured its user-friendliness. With Cerebras, you can experience rapid training speeds, extremely low latency for inference, and an unprecedented time-to-solution that empowers you to reach your most daring AI objectives. Just how bold can these objectives be? We not only make it feasible but also convenient to train language models with billions or even trillions of parameters continuously, achieving nearly flawless scaling from a single CS-2 system to expansive Cerebras Wafer-Scale Clusters like Andromeda, which stands as one of the largest AI supercomputers ever constructed. This capability allows researchers and developers to push the boundaries of AI innovation like never before.

Manage APIs seamlessly across both cloud environments and on-premises systems: Alongside Azure, implement API gateways in conjunction with APIs hosted in various cloud platforms and local servers to enhance the flow of API traffic. Ensure that you meet security and compliance standards while benefiting from a cohesive management experience and comprehensive visibility over all internal and external APIs. Accelerate your operations with integrated API management: Modern enterprises are increasingly leveraging API architectures to foster growth. Simplify your processes within hybrid and multi-cloud settings by utilizing a centralized platform for overseeing all your APIs. Safeguard your resources effectively: Choose to selectively share data and services with employees, partners, and clients by enforcing authentication, authorization, and usage restrictions to maintain control over access. By doing so, you can ensure that your systems remain secure while still allowing for collaboration and efficient interaction.

Upstage AI specializes in developing cutting-edge large language models and document processing tools that streamline workflows in mission-critical industries such as insurance, healthcare, and finance. Their flagship product, Solar Pro 2, offers enterprise-grade speed and reliability, optimized for handling complex language tasks with grounded, accurate outputs. Upstage’s Document Parse converts PDFs, scans, and emails into clean, machine-readable data, while Information Extract pulls structured key-value pairs from invoices, claims, and contracts with audited precision. These AI-driven solutions automate time-consuming tasks like claims adjudication, policy management, and clinical documentation review, enabling faster and more informed decision-making. The company provides flexible deployment methods, including SaaS, private cloud, and on-premises installations, ensuring data sovereignty and compliance. Upstage’s AI technology has earned recognition such as the CB Insights AI 100 listing and the top spot on the Open LLM Leaderboard. Leading companies rely on Upstage to unlock hidden insights in complex documents, saving hours of manual review. Its high accuracy OCR and GenAI capabilities continue to push the boundaries of enterprise AI.

Grok is a powerful AI chatbot developed by xAI, designed to deliver real-time, intelligent, and conversational assistance. It is uniquely integrated with the X platform, enabling access to live data and trending topics for more relevant responses. Grok is built to handle a wide range of tasks, including answering questions, generating content, and assisting with research. The platform combines advanced reasoning capabilities with a conversational tone, often incorporating humor and personality. It uses large-scale language models to understand context and provide accurate, meaningful answers. Grok is particularly useful for staying updated on current events and social trends. Its real-time data access sets it apart from traditional AI assistants that rely on static knowledge. The platform is designed for both casual users and professionals seeking quick insights. It continuously evolves with updates and improvements from xAI. Overall, Grok delivers a modern AI experience focused on relevance, engagement, and real-time intelligence.

Grafbase is a powerful GraphQL platform tailored for developers seeking to construct, consolidate, and oversee APIs by integrating various data sources into a cohesive federated API layer. Serving as a gateway for GraphQL federation, it brings together services like databases, microservices, REST APIs, and external systems into a singular, efficient endpoint that applications can query. This platform empowers developers to create a federated graph from a variety of independent subgraphs, enabling different teams or services to progress autonomously while still delivering a unified API experience to clients. Additionally, Grafbase features a schema registry and governance tools that facilitate the management of schema modifications, conduct checks to identify breaking changes, and allow for collaborative schema proposals prior to deployment. Furthermore, it offers robust analytics, observability, and performance monitoring capabilities that not only track API usage but also assist teams in fine-tuning their data infrastructure for optimal performance. Ultimately, Grafbase's multifaceted approach makes it an invaluable asset for teams aiming to streamline their API development processes.

FriendliAI serves as an advanced generative AI infrastructure platform that delivers rapid, efficient, and dependable inference solutions tailored for production settings. The platform is equipped with an array of tools and services aimed at refining the deployment and operation of large language models (LLMs) alongside various generative AI tasks on a large scale. Among its key features is Friendli Endpoints, which empowers users to create and implement custom generative AI models, thereby reducing GPU expenses and hastening AI inference processes. Additionally, it facilitates smooth integration with well-known open-source models available on the Hugging Face Hub, ensuring exceptionally fast and high-performance inference capabilities. FriendliAI incorporates state-of-the-art technologies, including Iteration Batching, the Friendli DNN Library, Friendli TCache, and Native Quantization, all of which lead to impressive cost reductions (ranging from 50% to 90%), a significant decrease in GPU demands (up to 6 times fewer GPUs), enhanced throughput (up to 10.7 times), and a marked decrease in latency (up to 6.2 times). With its innovative approach, FriendliAI positions itself as a key player in the evolving landscape of generative AI solutions.

LunaRoute serves as a hosted AI inference gateway and API tailored for developers and teams managing coding agents, personal assistants, applications, and automation tasks. It efficiently directs requests to a select collection of open-weight models via endpoints compatible with OpenAI and Anthropic, complemented by a command-line interface and setup documentation to facilitate the integration of coding tools and agent frameworks. Subscription plans offer enhanced concurrent inference capabilities, overflow management, model accessibility, API keys, usage analytics, and administrative controls based on the chosen package. Additionally, users have the option to utilize a hosted MCP server that enables web search functionalities, document conversion with OCR, as well as image generation and editing features. For enterprises, specialized offerings introduce dedicated deployment solutions, customizable routing options, and policy enforcement capabilities. LunaRoute is designed specifically for software developers and engineering teams looking for a streamlined method to link their existing AI clients to model inference services while ensuring scalable performance. This comprehensive approach allows teams to focus on innovation while relying on LunaRoute for their AI integration needs.

Replicate is a comprehensive platform designed to help developers and businesses seamlessly run, fine-tune, and deploy machine learning models with just a few lines of code. It hosts thousands of community-contributed models that support diverse use cases such as image and video generation, speech synthesis, music creation, and text generation. Users can enhance model performance by fine-tuning models with their own datasets, enabling highly specialized AI applications. The platform supports custom model deployment through Cog, an open-source tool that automates packaging and deployment on cloud infrastructure while managing scaling transparently. Replicate’s pricing model is usage-based, ensuring customers pay only for the compute time they consume, with support for a variety of GPU and CPU options. The system provides built-in monitoring and logging capabilities to track model performance and troubleshoot predictions. Major companies like Buzzfeed, Unsplash, and Character.ai use Replicate to power their AI features. Replicate’s goal is to democratize access to scalable, production-ready machine learning infrastructure, making AI deployment accessible even to non-experts.

Soulo AI operates as a cloud-based API platform tailored for developers and production teams engaged in the creation of AI-driven applications, videos, and short dramas. Featuring an OpenAI-compatible API, it grants users access to models from a variety of providers, including Anthropic, OpenAI, Google, DeepSeek, and Moonshot AI, while also offering advanced video-generation features like Seedance 2.5. The API is designed for short-drama production workflows, enabling users to input scripts, text prompts, and reference images to automatically generate scenes, characters, shots, and video clips. Additionally, the company provides comprehensive end-to-end production services, handling everything from script evaluation and project planning to the delivery of polished episodes or clips, with revisions tailored to each specific project. Users are billed for API usage based on the number of seconds generated at volume-based rates, while production services are charged per project and according to the final duration of the content. Serving a diverse clientele, Soulo AI caters to production studios and content companies throughout Asia and the European Union, solidifying its presence in the global media landscape.

AIsa serves as the comprehensive infrastructure solution tailored for engineers, enterprise architects, and Web3 developers engaged in the deployment of autonomous agents. By enabling developers to consolidate over 100 individual API accounts into a single, simplified payment wallet, we facilitate the accessibility of advanced AI-driven commerce and resource routing. Notable advantages include the ability to conduct high-frequency micropayments, cross-platform functionality, and a fully autonomous ecosystem available around the clock. The Developer Dashboard provides a cohesive and efficient interface for tracking API usage and funding agent wallets. The Multi-Modal Gateway allows for the seamless integration of standard LLM reasoning with real-time web searches and live data extraction. Through the Skills Marketplace, users can access a curated selection of pre-built, plug-and-play tools that significantly enhance agent functionalities. In addition to this, the Autonomous Foundry empowers users to deploy and scale hosted agent ecosystems without the burden of backend infrastructure management. By allowing AIsa to manage complex billing and API oversight, developers can concentrate on refining agent logic and improving performance. This holistic approach not only simplifies the deployment process but also accelerates innovation within the domain of autonomous agents.

Anyscale 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.

The Qualcomm AI Inference Suite serves as a robust software platform aimed at simplifying the implementation of AI models and applications in both cloud-based and on-premises settings. With its convenient one-click deployment feature, users can effortlessly incorporate their own models, which can include generative AI, computer vision, and natural language processing, while also developing tailored applications that utilize widely-used frameworks. This suite accommodates a vast array of AI applications, encompassing chatbots, AI agents, retrieval-augmented generation (RAG), summarization, image generation, real-time translation, transcription, and even code development tasks. Enhanced by Qualcomm Cloud AI accelerators, the platform guarantees exceptional performance and cost-effectiveness, thanks to its integrated optimization methods and cutting-edge models. Furthermore, the suite is built with a focus on high availability and stringent data privacy standards, ensuring that all model inputs and outputs remain unrecorded, thereby delivering enterprise-level security and peace of mind to users. Overall, this innovative platform empowers organizations to maximize their AI capabilities while maintaining a strong commitment to data protection.