DeepInfra Review 2026

DeepInfra review 2026: serverless open-source LLM inference, OpenAI-compatible API, per-token pricing, dedicated endpoints, LoRA hosting, pros, cons.

DeepInfra is a serverless inference platform that hosts hundreds of open-source models — Llama, Qwen, DeepSeek, Mistral, Gemma, Phi, FLUX, Stable Diffusion, Whisper, BGE embeddings, and many fine-tunes — behind a single OpenAI-compatible API. You sign up, grab a key, and run completions, chat, embeddings, image generation, speech-to-text, and text-to-speech with cost-per-million-token pricing visible directly on each model page. This makes DeepInfra a popular drop-in replacement for OpenAI when teams want open models, lower cost, or to avoid sending data to frontier-lab APIs. Pricing examples from the live model catalog include DeepSeek-V3 at roughly $0.26 input / $0.38 output per 1M tokens, Llama 4 Maverick at around $0.10 input / $0.20 output, and a sliding scale up to large reasoning models at a few dollars per million tokens. There are no monthly minimums — you pay only for what you consume, with $1 of free credit on signup. Deployment options include serverless multi-tenant inference (default), dedicated single-tenant endpoints for low-latency production traffic, and private LoRA hosting where you upload an adapter and DeepInfra hosts it for a flat hourly rate.