Alternatives to LunaRoute
Compare LunaRoute alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to LunaRoute in 2026. Compare features, ratings, user reviews, pricing, and more from LunaRoute competitors and alternatives in order to make an informed decision for your business.
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Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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Runpod
Runpod
Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. -
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Muse Spark Open
Meta
Muse Spark Open is an open-weight, natively multimodal language model for developers and organizations building AI applications, coding systems, and agentic workflows. The released model has 816 billion total parameters, 42 billion active parameters, and a 1-million-token context window. Teams can download the model weights, run inference through supported engines such as vLLM, SGLang, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, or Unsloth, and customize the model using PyTorch. It supports long-context reasoning, software engineering, coding, tool use, and multimodal inputs. Deployment options include cloud inference through listed API providers or self-hosting on compatible GPU systems; Meta documents a desktop setup using two Apple M5 Ultra Mac Studio computers. The model is released under the Muse Model License with limited commercial terms.Starting Price: $0 -
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OpenRouter
OpenRouter
OpenRouter is an AI model routing platform that gives developers access to hundreds of models through a single unified API. It connects users with models from providers such as OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, Qwen, xAI, and many others. The platform supports text, image, video, and audio generation while allowing developers to use one API key and a consistent interface across providers. OpenRouter can route requests based on price, performance, and availability, with fallback options that help maintain service when a provider experiences downtime. It also offers configurable data policies so organizations can control which providers receive prompts and how requests are handled. Developers can purchase credits, choose from more than 500 active models across over 80 providers, and integrate OpenRouter using an OpenAI-compatible API.Starting Price: Free -
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Experiential
Experiential Labs
Experiential is an AI model gateway and inference platform for software developers and organizations building AI-enabled products or internal applications. It provides a unified API for routing requests to hosted model providers, customer-supplied provider accounts, and self-hosted or custom models, with OpenAI-compatible and Anthropic API access. Teams can manage API keys, budgets and usage limits, attribute costs to keys or agents, monitor requests, and configure provider routing and fallback behavior. The hosted service includes a free plan and paid monthly plans, while the open-source gateway can also be self-hosted. Enterprise plans add organization controls and data-residency options; paid plans also include model-optimization features, and enterprise customers can commission a model trained on their traffic. Developers can connect compatible applications and coding agents by changing their API endpoint and credentials.Starting Price: $0/month -
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BetterToken
BetterToken
BetterToken is a hosted LLM API gateway that provides API access to models from providers including Anthropic, OpenAI, Moonshot, Z.ai, DeepSeek, Alibaba Cloud and MiniMax through BetterToken account keys. It offers OpenAI-compatible and Anthropic-compatible endpoints, with a Responses-compatible setup for Codex, and lets developers connect coding tools, applications, agents and automation workflows using a custom base URL. Users can choose models from a live catalog, view token usage and request charges in the workspace, and pay through prepaid balance or monthly quota plans. Model costs vary by input, output and supported cached or media tokens. Setup guides cover tools such as Claude Code, Codex, Cursor, Dify and n8n. BetterToken is intended for developers and teams integrating hosted language models into software and automated workflows.Starting Price: $19/month -
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kluster.ai
kluster.ai
Kluster.ai is a developer-centric AI cloud platform designed to deploy, scale, and fine-tune large language models (LLMs) with speed and efficiency. Built for developers by developers, it offers Adaptive Inference, a flexible and scalable service that adjusts seamlessly to workload demands, ensuring high-performance processing and consistent turnaround times. Adaptive Inference provides three distinct processing options: real-time inference for ultra-low latency needs, asynchronous inference for cost-effective handling of flexible timing tasks, and batch inference for efficient processing of high-volume, bulk tasks. It supports a range of open-weight, cutting-edge multimodal models for chat, vision, code, and more, including Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3 . Kluster.ai's OpenAI-compatible API allows developers to integrate these models into their applications seamlessly.Starting Price: $0.15per input -
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Heabsy
Heabsy
OpenAI- and Anthropic-compatible inference API from an EU company. The flagship model runs on dedicated GPUs in EIA data centres with zero data retention: prompts and completions are processed in memory only, not stored, not logged, not used for training. Routed open models from third-party providers are available with the same key and clearly labelled. One DPA and one invoice from an EU company. Features: streaming, tool calling, structured output, public DPA and sub-processor list, per-token pricing. Measured on the live system in August 2026: 176 tokens per second per stream, first token in 0.3 seconds.Starting Price: $0.04 per 1M input tokens -
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CheapTokens
CheapTokens
CheapTokens is a pay-as-you-go API service for developers building AI agents, coding workflows, and applications with open-weight language models. Its model catalog focuses on families such as DeepSeek, GLM, and MiniMax. The service provides OpenAI-compatible and Anthropic-compatible API endpoints. Developers connect supported tools using a CheapTokens API key, a base URL, and a model ID. Usage is billed from a prepaid USD balance, with separate input and output token rates and no monthly subscription. Prices are listed per million tokens. The website provides API documentation, request examples, and integration guides for supported coding assistants and agent tools.Starting Price: 5$ -
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ModelLane
Galadriel Labs
ModelLane is an AI inference gateway and routing control plane for developers and organizations using multiple language-model providers. It offers an OpenAI-compatible API for sending requests to hosted, private, or self-hosted models. Teams can define routing policies (“Lanes”) by cost, latency, availability, data retention, and region, with provider failover, retries, credential isolation, and route-level usage and spend visibility. Documented connectors include OpenAI, Anthropic, Google, Mistral, Groq, and DeepSeek, plus local serving tools such as Ollama and vLLM. An MCP interface exposes model-layer operations. Use cases include consolidating provider APIs, choosing routes for different workloads, maintaining continuity when a provider is unavailable, and monitoring inference activity. Deployment options include hosted service, dedicated deployment, and a customer VPC.Starting Price: $0/month -
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Pioneer
Pioneer.ai
Pioneer is an inference API built for developers who would rather ship than babysit a GPU cluster. It lets teams point an existing OpenAI, Anthropic, or other client at Pioneer, keep the same API and code, and run inference like normal while Pioneer finds where the current model falls short. It clusters production traffic by use case, surfaces where accuracy, latency, or cost can improve, then builds and routes to small specialist models automatically. Its continuous improvement loop, Adaptive Inference, mines live production failures for high-signal examples, retrains a specialist model, evaluates the new checkpoint, and promotes improvements behind the same endpoint without requiring redeployment. Pioneer supports encoder models for structured extraction tasks such as named entity recognition, text classification, structured JSON extraction, privacy filtering, and safety classification, as well as decoder models for text generation, classification, open-ended prompting, etc. -
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Fireworks AI
Fireworks AI
Fireworks partners with the world's leading generative AI researchers to serve the best models, at the fastest speeds. Independently benchmarked to have the top speed of all inference providers. Use powerful models curated by Fireworks or our in-house trained multi-modal and function-calling models. Fireworks is the 2nd most used open-source model provider and also generates over 1M images/day. Our OpenAI-compatible API makes it easy to start building with Fireworks. Get dedicated deployments for your models to ensure uptime and speed. Fireworks is proudly compliant with HIPAA and SOC2 and offers secure VPC and VPN connectivity. Meet your needs with data privacy - own your data and your models. Serverless models are hosted by Fireworks, there's no need to configure hardware or deploy models. Fireworks.ai is a lightning-fast inference platform that helps you serve generative AI models.Starting Price: $0.20 per 1M tokens -
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Xinity
Xinity
Xinity is open-source, OpenAI-compatible LLM inference software that lets European enterprises run generative AI entirely on their own servers. The platform installs on existing hardware and exposes an OpenAI-compatible API, so existing applications migrate by changing one base URL. No cloud dependency, no data egress, no exposure to the US CLOUD Act. The core engine is open source under Apache 2.0 and supports open-weight models, including European sovereign models, with automatic model routing, audit trails on every inference request, role-based access control, and multi-node orchestration. Xinity is built in Vienna, Austria for regulated industries such as finance, healthcare, legal, public sector, and media, including fully air-gapped environments, and is designed for GDPR and EU AI Act requirements. -
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Confidential AI
Confidential AI
Confidential AI provides private AI inference, agent environments, and confidential computing infrastructure for AI labs, inference providers, routers, and organizations handling sensitive workloads. Its hosted inference service runs open-weight models in hardware-backed trusted execution environments (TEEs), including Intel TDX and AMD SEV-SNP confidential VMs with NVIDIA GPUs in confidential computing mode. Prompts, responses, and workload data are protected from infrastructure operators, and clients can verify attestation before sending sensitive input. Customers can use an OpenAI-compatible API to deploy inference endpoints and agent workloads, or license the confidential-computing stack for on-premises infrastructure, bare metal, and major clouds. Use cases include serving models while limiting operator access to prompts and model assets, and running sensitive AI workloads on dedicated confidential compute.Starting Price: $0.20/1M input tokens -
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Cheaper Inference
Keak
Cheaper Inference is an OpenAI-compatible API gateway that provides access to AI models from multiple providers through a single API key, without requiring users to change their request format. Developers can switch by replacing the provider base URL and API key while keeping the same model, messages, tools, streaming settings, and response handling. It supports text and image models, vision-capable chat requests, streaming, prompt caching, reasoning controls, and temporary image uploads for larger vision payloads. Models are selected per request, and the catalog can be filtered by type, vision, reasoning, streaming, or provider. Automatic retries handle network and provider failures, while eligible fallback routes can be tried before a request fails. Every request is visible in History, giving teams a record of request volume, token usage, and operational activity.Starting Price: $0.48 per output -
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Peezy Gateway is an AI inference gateway built to give developers and coding agents one endpoint for accessing frontier open models without relying on layers of third-party routing. The service is OpenAI-compatible, making it possible to point existing OpenAI SDKs, command-line agents, and other compatible tools at a single base URL instead of integrating each model provider separately. P0 is rebuilding the gateway on infrastructure it operates itself, with open models served directly from its own GPU clusters rather than through middlemen. The planned infrastructure includes B200 and B300 GPU clusters in private facilities across Singapore and China, with the goal of creating a fast, direct route to every supported model. Existing p0ag_ API keys and account credits are designed to carry over through the infrastructure migration, so current integrations do not need to start over when the gateway relaunches.
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Kunavo
Kunavo
Kunavo is a hosted AI API gateway for developers and teams that need one account, API key, and prepaid balance to access models from multiple providers. It provides OpenAI-compatible Chat Completions and a native Anthropic Messages endpoint, with model identifiers and supported features described in its live catalog and API documentation. Depending on model and route, the service handles text, image, video, and audio requests. Developers connect supported SDKs, coding agents, workflow tools, and other clients by setting a base URL, key, and model identifier. A dashboard records request usage and costs; API keys can have per-key spending limits and IP allowlists. Billing is usage-based against prepaid credit, with published rates varying by model and modality and no recurring subscription. Use cases include adding model inference to applications, coding workflows, automations, and AI-powered customer-support or data-processing features.Starting Price: $10 prepaid -
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Tuning Engines
CerebrixOS
Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform. -
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Ramp Router
Ramp
Router is an LLM gateway built to reduce inference costs by matching each request to the lowest-cost model that still meets performance needs. It provides one endpoint and one API key for accessing multiple closed and open-source AI models from providers such as OpenAI, Anthropic, Grok, Fireworks, and others, helping developers avoid wiring applications to providers one at a time. Requests go through Router first, where usage, model, provider, and cost can be tracked before eligible workloads are routed to a more efficient option when quality will not be affected. Router Strategies let developers define cost and performance priorities for different types of requests or use benchmarked defaults based on real production workloads. It responds to live latency, availability, failures, and rate limits, and eligible requests can be moved to another available model when a provider cannot serve them. -
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Zerouter
Zerouter
Zerouter is a hosted AI API gateway for developers building applications and coding workflows with large language models. It provides one API key and a configurable base URL for sending requests to models from Anthropic (Claude), OpenAI (GPT), Google (Gemini), xAI (Grok), and Moonshot AI (Kimi). The gateway exposes OpenAI-compatible and Anthropic-compatible endpoints, allowing supported SDKs and clients such as Claude Code, Codex CLI, and Cursor to connect with a custom endpoint rather than managing separate provider connections. Users can select model IDs, view published per-token rates, and review request-level usage and charges. Zerouter uses pay-as-you-go billing based on input and output token use, with no subscription or monthly minimum. It is aimed at software developers and technical teams integrating hosted LLMs into apps, coding agents, and other API-based workflows.Starting Price: $0.023/1M input tokens -
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AIHubMix
AIHubMix
AIHubMix is an AI model API routing service that provides access to major language and multimodal models through one unified interface. It uses the OpenAI API format as its standard, allowing developers to connect with an AIHubMix API key and forwarding base URL, then switch between supported models simply by changing the model ID. It supports OpenAI-compatible, Anthropic-compatible, and native Google Gemini interfaces, making it easier to migrate existing applications and use different provider SDKs without rebuilding integrations. Its model catalog covers text generation, reasoning, coding, vision, web search, deep search, image and video generation, 3D generation, text-to-speech, speech-to-text, embeddings, reranking, structured outputs, moderation, and prompt caching. Model metadata can be filtered by type, input modality, capability, context length, coding suitability, and other properties to help teams select an appropriate option.Starting Price: Free -
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Kilo Gateway
Kilo
Kilo Gateway is a universal AI inference gateway that routes LLM requests to any provider through one standardized endpoint, giving developers access to hundreds of hosted and open models without rewriting their applications for each provider. It provides unified access to models from Anthropic, OpenAI, Mistral, and other providers, while also supporting bring-your-own-key configurations that let teams connect existing provider credentials through centralized infrastructure. The gateway is compatible with standard AI SDKs, making it possible to switch providers while keeping the same integration surface. Its infrastructure handles routing complexity and load balancing across direct providers and external gateways to improve availability and resilience. Auto Model can route each request to the best available model while keeping routing decisions, model behavior, and usage visible and controllable.Starting Price: $19 per month -
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Simplismart
Simplismart
Fine-tune and deploy AI models with Simplismart's fastest inference engine. Integrate with AWS/Azure/GCP and many more cloud providers for simple, scalable, cost-effective deployment. Import open source models from popular online repositories or deploy your own custom model. Leverage your own cloud resources or let Simplismart host your model. With Simplismart, you can go far beyond AI model deployment. You can train, deploy, and observe any ML model and realize increased inference speeds at lower costs. Import any dataset and fine-tune open-source or custom models rapidly. Run multiple training experiments in parallel efficiently to speed up your workflow. Deploy any model on our endpoints or your own VPC/premise and see greater performance at lower costs. Streamlined and intuitive deployment is now a reality. Monitor GPU utilization and all your node clusters in one dashboard. Detect any resource constraints and model inefficiencies on the go. -
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FriendliAI
FriendliAI
FriendliAI is a generative AI infrastructure platform that offers fast, efficient, and reliable inference solutions for production environments. It provides a suite of tools and services designed to optimize the deployment and serving of large language models (LLMs) and other generative AI workloads at scale. Key offerings include Friendli Endpoints, which allow users to build and serve custom generative AI models, saving GPU costs and accelerating AI inference. It supports seamless integration with popular open source models from the Hugging Face Hub, enabling lightning-fast, high-performance inference. FriendliAI's cutting-edge technologies, such as Iteration Batching, Friendli DNN Library, Friendli TCache, and Native Quantization, contribute to significant cost savings (50–90%), reduced GPU requirements (6× fewer GPUs), higher throughput (10.7×), and lower latency (6.2×).Starting Price: $5.9 per hour -
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OrcaRouter
OrcaRouter
OrcaRouter is an OpenAI-compatible AI model router that sends each prompt to the right model across OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and 200+ frontier and open source models. It is built to preserve frontier answer quality while reducing AI inference spend by grading every prompt and routing hard reasoning to frontier models and routine work to lower-cost open source models. The routing is quality-graded, never a blind, cheap-model swap, and each request shows the difficulty grade, selected model, provider, and cost so routes are visible, auditable, and reproducible. Developers can switch by changing the API base URL, while existing SDKs, model names, and streaming behavior continue to work as before. OrcaRouter supports automatic failover, so if a provider goes down mid-stream, traffic can switch transparently, and the application avoids user-facing errors. It also includes API key management with spend caps, model allowlists, rate limits, budget enforcement, and more.Starting Price: $29 per month -
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Together AI
Together AI
Together AI provides an AI-native cloud platform built to accelerate training, fine-tuning, and inference on high-performance GPU clusters. Engineered for massive scale, the platform supports workloads that process trillions of tokens without performance drops. Together AI delivers industry-leading cost efficiency by optimizing hardware, scheduling, and inference techniques, lowering total cost of ownership for demanding AI workloads. With deep research expertise, the company brings cutting-edge models, hardware, and runtime innovations—like ATLAS runtime-learning accelerators—directly into production environments. Its full-stack ecosystem includes a model library, inference APIs, fine-tuning capabilities, pre-training support, and instant GPU clusters. Designed for AI-native teams, Together AI helps organizations build and deploy advanced applications faster and more affordably.Starting Price: $0.0001 per 1k tokens -
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OpenCheese AI
OpenCheese AI
OpenCheese AI is a hosted AI gateway and API for developers who want to connect applications and coding tools to multiple AI models through a unified service. It provides OpenAI-compatible endpoints and an Anthropic Messages-compatible interface, with model selection, API-key management, usage and balance tracking, and access to models from providers including OpenAI, Anthropic, Google, and DeepSeek. Developers can configure supported coding clients and applications to send requests through OpenCheese rather than managing separate provider credentials for each connection. The service offers both credit-based usage and time-limited plans with included balances; available models, rates, and free-model options depend on the selected model and plan. It is intended for developers evaluating or building text, coding, and image-generation workflows with hosted AI models.Starting Price: $9.99/month -
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Tinfoil
Tinfoil
Tinfoil is a verifiably private AI platform built to deliver zero-trust, zero-data-retention inference by running open-source or custom models inside secure hardware enclaves in the cloud, giving you the data-privacy assurances of on-premises systems with the scalability and convenience of the cloud. All user inputs and inference operations are processed in confidential-computing environments so that no one, not even Tinfoil or the cloud provider, can access or retain your data. It supports private chat, private data analysis, user-trained fine-tuning, and an OpenAI-compatible inference API, covers workloads such as AI agents, private content moderation, and proprietary code models, and provides features like public verification of enclave attestation, “provable zero data access,” and full compatibility with major open source models. -
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Qualcomm AI Inference Suite
Qualcomm
The Qualcomm AI Inference Suite is a comprehensive software platform designed to streamline the deployment of AI models and applications across cloud and on-premises environments. It offers seamless one-click deployment, allowing users to easily integrate their own models, including generative AI, computer vision, and natural language processing, and build custom applications using common frameworks. The suite supports a wide range of AI use cases such as chatbots, AI agents, retrieval-augmented generation (RAG), summarization, image generation, real-time translation, transcription, and code development. Powered by Qualcomm Cloud AI accelerators, it ensures top performance and cost efficiency through embedded optimization techniques and state-of-the-art models. It is designed with high availability and strict data privacy in mind, ensuring that model inputs and outputs are not stored, thus providing enterprise-grade security. -
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ApiGo
ApiGo
ApiGo is a hosted AI model gateway for developers and teams building applications with language models. It provides a unified API endpoint for sending requests to supported model providers, with OpenAI-compatible request formats and model selection through a shared interface. The service includes model routing and fallback configuration, API key management, request and usage logs, per-model token pricing, workspace balance controls, and dashboards for reviewing consumption. Developers can use documented setup guides to connect coding assistants and agent tools such as Cursor, Claude Code, Codex CLI, OpenCode, Kimi Code, and OpenClaw. ApiGo is intended for teams that want to manage model-provider access, usage, and billing through one hosted gateway rather than configure each provider separately.Starting Price: $0.10/1M input tokens -
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Deep Infra
Deep Infra
Powerful, self-serve machine learning platform where you can turn models into scalable APIs in just a few clicks. Sign up for Deep Infra account using GitHub or log in using GitHub. Choose among hundreds of the most popular ML models. Use a simple rest API to call your model. Deploy models to production faster and cheaper with our serverless GPUs than developing the infrastructure yourself. We have different pricing models depending on the model used. Some of our language models offer per-token pricing. Most other models are billed for inference execution time. With this pricing model, you only pay for what you use. There are no long-term contracts or upfront costs, and you can easily scale up and down as your business needs change. All models run on A100 GPUs, optimized for inference performance and low latency. Our system will automatically scale the model based on your needs.Starting Price: $0.70 per 1M input tokens -
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Oxlo.ai
Oxlo.ai
Oxlo.ai is a privacy-first inference stack for agents, built to run frontier-class open-source models with unlimited agentic tool calls, secure failover, and zero data retention or training. It gives developers request-based access to curated open models through a unified HTTP API designed for predictable usage, low-latency inference, and clean integration into production systems. Teams can call models through OpenAI-compatible endpoints, switch from another provider by changing the base URL and API key, and keep support for streaming, function calling, JSON mode, vision models, embeddings, and image generation. Oxlo.ai supports more than 40 models across text, chat, reasoning, coding, image generation, audio, embeddings, computer vision, vision-language, speech-to-text, text-to-speech, long-context, and detection workflows.Starting Price: $80 per month -
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Groq
Groq
GroqCloud is a high-performance AI inference platform built specifically for developers who need speed, scale, and predictable costs. It delivers ultra-fast responses for leading generative AI models across text, audio, and vision workloads. Powered by Groq’s purpose-built LPU (Language Processing Unit), the platform is designed for inference from the ground up, not adapted from training hardware. GroqCloud supports popular LLMs, speech-to-text, text-to-speech, and image-to-text models through industry-standard APIs. Developers can start for free and scale seamlessly as usage grows, with clear usage-based pricing. The platform is available in public, private, or co-cloud deployments to match different security and performance needs. GroqCloud combines consistent low latency with enterprise-grade reliability. -
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CentML
CentML
CentML accelerates Machine Learning workloads by optimizing models to utilize hardware accelerators, like GPUs or TPUs, more efficiently and without affecting model accuracy. Our technology boosts training and inference speed, lowers compute costs, increases your AI-powered product margins, and boosts your engineering team's productivity. Software is no better than the team who built it. Our team is stacked with world-class machine learning and system researchers and engineers. Focus on your AI products and let our technology take care of optimum performance and lower cost for you. -
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Run BiOS
UltraSafe AI Inc.
Run BiOS is serverless, OpenAI-compatible inference. Point the OpenAI SDK at the Run BiOS endpoint and keep your code. Six model families — Claude, DeepSeek, GLM, Kimi, MiniMax and Qwen — plus bios-adaptive, which routes each request for quality, speed and budget against a published price ceiling. Prompts and responses live in memory and are discarded when the request completes: no request logs, no content store, no archive. Fine-tuning and dedicated GPU endpoints run from the same account if you later want weights you own, billed per second of GPU time. Pricing is usage-based from a pre-paid balance, published per million tokens, and an endpoint pauses rather than running up a debt if the balance reaches zero. -
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Xinference
Xinference
Xinference is a self-serve Model API for Kimi K3 and DeepSeek, hosted in Australia on dedicated GPUs. Developers and teams call both models through one OpenAI-compatible API, at the same per-token price as the model vendor. Switching from another OpenAI-compatible provider means changing the base URL and API key. No prompt or response content kept by default, and no training on your data. Don't see the model you need? Talk to us about adding it. For teams that need models in their own environment, Xinference Dedicated Inference runs open models in your VPC, data centre or servers. Xinference is in the process of becoming SOC 2 and ISO 27001 compliant. -
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LLM Gateway
LLM Gateway
LLM Gateway is a fully open source, unified API gateway that lets you route, manage, and analyze requests to any large language model provider, OpenAI, Anthropic, Gemini Enterprise Agent Platform, and more, using a single, OpenAI-compatible endpoint. It offers multi-provider support with seamless migration and integration, dynamic model orchestration that routes each request to the optimal engine, and comprehensive usage analytics to track requests, token consumption, response times, and costs in real time. Built-in performance monitoring lets you compare models’ accuracy and cost-effectiveness, while secure key management centralizes API credentials under role-based controls. You can deploy LLM Gateway on your own infrastructure under the MIT license or use the hosted service as a progressive web app, and simple integration means you only need to change your API base URL, your existing code in any language or framework (cURL, Python, TypeScript, Go, etc.)Starting Price: $50 per month -
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TensorZero
TensorZero
TensorZero is an open source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation. It creates a feedback loop for optimizing LLM applications, turning production metrics and human feedback into smarter, faster, and cheaper models and agents. The gateway lets teams integrate once and access every major LLM provider through a single unified API, including API and self-hosted models, with support for tool use, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, granular timeouts, usage tracking, custom rate limits, and provider-key protection. Built for performance in Rust, TensorZero is designed for extreme throughput and low-latency production workloads while still letting teams adopt only the components they need. Its observability layer stores inferences and feedback in the user’s own database, available programmatically or through the open source UI.Starting Price: Free -
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Jectora
Jectora
Jectora is an OpenAI-compatible AI gateway built for organizations. One API (the Jectora API base URL) routes requests across models from multiple providers with smart routing, hardware-aware inference optimization, and intelligent caching for lower cost and latency. Keep the official OpenAI JavaScript or Python SDK: set the Jectora base URL and API key, then choose a model by ID. Chat Completions, Responses, Embeddings, and model discovery are supported; capabilities vary by model. Organization workspaces separate API keys, balance, usage, and billing. Scope each key by model, spend, expiration, or source IP. The Dashboard shows spend, requests, and tokens. Pricing is pay as you go: $0 monthly fee, no minimum spend, prepaid credits with no fixed expiration while active, and no subscription, platform fee, or long-term commitment. Unit prices are in the model catalog (USD per 1M tokens for token-based models). Sign in with GitHub. Docs and support are on the Jectora website. -
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boldrouter
Cybrient Technologies
boldrouter is a hosted AI gateway for developers and teams building applications with large language models. It provides an OpenAI-compatible API and a unified endpoint for routing requests across model providers, with automatic selection and failover based on price, latency, or provider health. Teams can use prepaid credits or connect their own provider keys, manage API keys and spending limits, and review token, model, and latency usage in a dashboard. Additional capabilities include streaming, tool calls, multimodal requests, embeddings, document text extraction, model consensus and evaluation, and optional prompt anonymization that redacts personal data before forwarding requests. The Swiss-hosted service supports application, SaaS, agent, and developer-tool workflows that need access to multiple AI models.Starting Price: 5.5% per top-up -
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Vynaris
Vynaris
Vynaris gives teams powerful hosted uncensored models for authorized security testing, red-teaming, and research. Qwen3.8-27B, DeepSeek-V4-Flash-0731, and Qwen3.6-35B-A3B are available through an OpenAI-compatible API with published token rates and no prompt or output retention for these hosted models. Vynaris also routes requests across a broader model catalog and shows transparent per-request cost receipts, so applications can switch with a base URL change and inspect the cost of individual requests.Starting Price: $5 minimum credit top-up -
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NVIDIA Personal AI Router (PAIR) is a tool that connects compatible Windows, Linux, and macOS systems into a personal AI inference cluster and routes AI app and agent workloads through a single local endpoint. It brings together RTX, DGX Spark, and Mac systems already on the same network, helping them work as one local AI cluster without special cables, racks, or complex cluster setup. PAIR discovers compatible machines and distributes inference requests across available nodes, allowing busy AI workflows to tap into idle compute regardless of the node’s operating system. It works alongside familiar local inference backends, with support for Ollama and LM Studio, giving applications a consistent endpoint while intelligently proxying requests to available local compute. PAIR is built for private local inference, so prompts, files, and agent context stay on the user’s local network instead of being sent to a cloud inference service.
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Cerebras
Cerebras
We’ve built the fastest AI accelerator, based on the largest processor in the industry, and made it easy to use. With Cerebras, blazing fast training, ultra low latency inference, and record-breaking time-to-solution enable you to achieve your most ambitious AI goals. How ambitious? We make it not just possible, but easy to continuously train language models with billions or even trillions of parameters – with near-perfect scaling from a single CS-2 system to massive Cerebras Wafer-Scale Clusters such as Andromeda, one of the largest AI supercomputers ever built. -
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Undrstnd
Undrstnd
Undrstnd Developers empowers developers and businesses to build AI-powered applications with just four lines of code. Experience incredibly fast AI inference times, up to 20 times faster than GPT-4 and other leading models. Our cost-effective AI services are designed to be up to 70 times cheaper than traditional providers like OpenAI. Upload your own datasets and train models in under a minute with our easy-to-use data source feature. Choose from a variety of open source Large Language Models (LLMs) to fit your specific needs, all backed by powerful, flexible APIs. Our platform offers a range of integration options to make it easy for developers to incorporate our AI-powered solutions into their applications, including RESTful APIs and SDKs for popular programming languages like Python, Java, and JavaScript. Whether you're building a web application, a mobile app, or an IoT device, our platform provides the tools and resources you need to integrate our AI-powered solutions seamlessly. -
45
NevTan Cloud
NevTan
NevTan Cloud is an AI-native cloud platform that combines AI inference, application hosting, managed databases, object storage, and infrastructure services into a single developer environment. The platform provides an OpenAI-compatible API for more than 200 AI models while allowing developers to deploy applications, manage databases, and store data from one unified console. NevTan supports modern frameworks such as Next.js, Django, Rails, FastAPI, Go, and containerized applications with Git-based deployment workflows. Built-in observability, monitoring, and centralized billing help teams manage applications, infrastructure, and AI workloads without juggling multiple cloud providers. Developers can deploy managed PostgreSQL databases with pgvector, S3-compatible object storage, and scalable inference services using a single identity and API key. -
46
UnoRouter
UnoRouter
UnoRouter is an OpenAI-compatible LLM gateway. One API key gives you 200+ models across providers (OpenAI, Anthropic, Google and more), drop-in for coding agents like Claude Code, Cline, Codex and Kilo Code. Point any OpenAI SDK at the base URL and switch models without changing code. UnoRouter also includes a built-in chat and character client (personas, lorebooks, SillyTavern card import) on the same key. Usage-based pricing with a free tier, live model and price data.Starting Price: Free tier, usage-based -
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ML Junction
ML Junction
ML Junction gives developers a consistent API for working with multiple AI model providers. It supports OpenAI and Anthropic SDK compatibility, capability-aware routing, retries and fallback, and request-level cost and privacy controls. Its per-request receipts explain which route was selected, the alternatives considered, the policies enforced and the final cost. ML Junction also supports model evaluations, agent observability, and a native LangChain integration. Pricing is usage-based on prepaid credits: provider rates at cost plus one routing fee, or bring your own provider keys. It is designed for teams building AI applications.Starting Price: $5 -
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OfoxAI
OfoxAI
OfoxAI is a unified, OpenAI-compatible API gateway that gives developers and teams instant access to 100+ large language models — GPT, Claude, Gemini, DeepSeek, and more — through a single endpoint and one API key. Stop juggling multiple provider accounts, SDKs, and invoices: integrate once, switch models freely, and scale from a solo prototype to a full production team. Key features: One API Key, 100+ Models — Always up-to-date with the latest models from OpenAI, Anthropic, Google, DeepSeek, and more. Three Native Protocols — Full OpenAI, Anthropic, and Gemini SDK compatibility. Zero code migration — just swap the base URL. Low-Latency Access — Global routing with under 300ms average latency. Zero Markup Pricing — Pay official provider rates, with no surcharges or hidden fees. Built for Teams — Shared billing dashboard, per-member usage tracking, and budget controls. Flexible Payments — Credit card, PayPal, and major regional payment methods supported. -
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Edgee
Edgee
Edgee is an AI gateway that sits between your application and large language model providers, acting as an edge intelligence layer that compresses prompts before they reach the model to reduce token usage, lower costs, and improve latency without changing your existing code. Applications call Edgee through a single OpenAI-compatible API, and Edgee applies edge-level policies such as intelligent token compression, routing, privacy controls, retries, caching, and cost governance before forwarding requests to the selected provider, including OpenAI, Anthropic, Gemini, xAI, and Mistral. Its token compression engine removes redundant input tokens while preserving semantic intent and context, achieving up to 50% input token reduction, which is especially valuable for long contexts, RAG pipelines, and multi-turn agents. Edgee enables tagging requests with custom metadata to track usage and spending by feature, team, project, or environment, and provides cost alerts when spending spikes.Starting Price: Free -
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OwlVigil
Syrovex
OwlVigil is a cloud-based AI gateway and governance platform for developers, AI product teams, and organizations coordinating multiple model providers. It routes AI requests through a unified endpoint and lets teams connect providers, issue scoped gateway keys, manage access, and apply routing and policy rules. Administrators can set workspace, team, member, or key budgets; restrict models and providers; and monitor requests, tokens, usage, latency, and spending. Role-based permissions, audit logs, alerts, and request analytics help teams review AI activity across workspaces and departments. The gateway accepts OpenAI-compatible requests, allowing teams to connect existing applications through a shared interface. OwlVigil is offered as a hosted service with an individual free plan and paid team and business plans, plus custom enterprise plans.Starting Price: $19/month
