Oxlo.ai

Oxlo.ai is a privacy-first AI inference stack built for developers and AI teams who need predictable infrastructure costs. It offers access to 45+ open-source models — including Kimi K2.6, DeepSeek R1, Llama 3.3 70B, and Qwen 3 32B — under a flat request-based pricing model rather than the per-token billing used by most inference providers. The platform processes requests with zero data retention and never uses prompts or outputs to train models.

What It Is

Oxlo.ai is an AI inference API platform that sits in the same category as Together AI, Fireworks AI, and OpenRouter, but differentiates itself with request-based pricing: every API call costs the same flat rate regardless of prompt or response length. This makes it particularly cost-effective for long-context workloads such as RAG pipelines, document analysis, and agentic workflows where token counts can spike unpredictably. The platform is fully compatible with the OpenAI Python and Node.js SDKs — switching requires only changing the base_url parameter.

Model Coverage and Use Cases

Oxlo.ai supports over 40 models across seven categories:

• Text/Chat: Kimi K2.6, DeepSeek R1 671B, DeepSeek V3.2, Llama 3.3 70B, Qwen 3 32B, Mistral 7B, Gemma 3, Llama 4 Maverick
• Code: Qwen 3 Coder 30B, DeepSeek Coder 33B
• Vision: Gemma 3 27B, Kimi VL
• Image Generation: Oxlo Image Pro, SDXL, SD 3.5 Large
• Audio: Whisper Large v3, Kokoro TTS
• Embeddings: BGE-Large, E5-Large
• Detection: YOLOv9, YOLOv11

Teams use the platform for chatbots and AI assistants, document Q&A and RAG, text generation and summarization, image understanding, speech and audio transcription, and batch AI processing.

Request-Based Pricing Model

Unlike token-based providers where a single long-context query can cost $0.05 or more depending on token count, Oxlo.ai charges a flat fee per API request. A 100-token prompt costs the same as a 50,000-token prompt. The platform claims this makes it "10–100x cheaper" for long-context workloads compared to per-token providers — a vendor-published claim. There are no overage charges; when daily request limits are reached, additional requests are queued until the next day.

Privacy and Data Handling

Oxlo.ai explicitly commits to zero data retention and no model training on user inputs. Prompts and outputs are processed solely to return responses and are not used to build training datasets. The platform also advertises secure failover as part of its infrastructure design, making it positioned for teams with compliance or data sensitivity requirements.

Benchmark Positioning

The platform highlights Kimi K2.6 benchmark results sourced from the Moonshot AI Kimi K2.6 report, showing competitive or leading scores against GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro on agentic tasks including DeepSearchQA (92.5 f1-score), HLE-Full with tools (54.0), SWE-Bench Pro (58.6), and BrowseComp agent swarm (86.3). These scores are attributed to the Moonshot AI source and are presented as vendor-published benchmark data.

Current Status

According to the homepage, Oxlo.ai reports 700+ active users, 30+ models available, 100+ countries served, and 737M+ tokens processed — all vendor-published figures. The platform was featured on Product Hunt and listed by STL Partners as a top edge computing company to watch in 2026. An OxCompute tier is listed as "Coming Soon" on the pricing page, indicating active product development beyond the current OxAPIs offering.