What is Oxlo AI?
Oxlo.ai is a privacy-first inference API for running frontier and open-source models.It supports request-based pricing for predictable API calls and scalable production workloads.The platform runs agentic models and long-context workloads useful for chatbots, retrieval-augmented generation (RAG), document Q&A, and batch processing.
Supported features include streaming, function calling, embeddings, speech-to-text, text-to-speech, and vision models for image understanding and object detection.Oxlo.ai is compatible with OpenAI SDKs for easy migration and integrates models such as Kimi K2.
Oxlo AI pricing Free trial
Verify on the official pricing page.
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Based on 1 review, 100.0% of users recommend Oxlo AI, rated highly for quality results.
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Oxlo AI's key features
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Request-based pricing (flat fee per API call regardless of token count)
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OpenAI Python/Node.js SDK compatible — supports streaming, function calling, JSON mode, vision, embeddings, and image generation
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Supports 40+ open-source models across text, code, vision, image generation, audio, embeddings, and detection
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Zero data retention — inputs and outputs are never used to train models or sold
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Production-ready inference infrastructure with enterprise-grade reliability, secure failover, and unlimited agentic tool calls
Oxlo AI use cases
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Create secure, scalable customer support chatbots using Oxlo.ai's OpenAI-compatible SDKs, long-context model hosting and retrieval-augmented generation to deliver context-aware answers from product docs with zero data retention and predictable API pricing
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Build automated document ingestion and Q&A pipelines using Oxlo.ai's embeddings, long-context inference and batch processing to power internal knowledge bases, enable nightly re-indexing, and return structured answers via function calling
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Implement multimodal analytics and accessibility workflows using Oxlo.ai's speech-to-text and image understanding APIs with streaming and vision capabilities to transcribe meetings, analyze images for insights, and create searchable, privacy-first archives
Who is it for?
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Developers
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Machine learning engineers
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Product managers
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Data scientists
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Businesses