DeepInfra

DeepInfra is the cloud AI inference platform that makes running open-source models as easy as calling an API, at a fraction of the cost of self-hosting. The platform offers optimized inference for the most popular open-source LLMs, image generators, and embedding models — Llama, Mistral, Mixtral, Stable Diffusion, and dozens more — with OpenAI-compatible APIs that let developers switch from proprietary models to open-source alternatives with a single line of code change.

What makes DeepInfra compelling is its focus on inference optimization. The team builds custom serving infrastructure with techniques like continuous batching, speculative decoding, tensor parallelism, and quantization to deliver the lowest possible latency and cost per token. For developers and companies who want the freedom of open-source models without the DevOps burden of managing GPU clusters, DeepInfra provides a turnkey solution that handles all the infrastructure complexity.

• LLM Inference API
  OpenAI-compatible APIs for 50+ open-source language models including Llama 3, Mistral, Mixtral, Phi, Qwen, and DeepSeek with streaming, function calling, and JSON mode.
• Embedding Models
  High-throughput embedding APIs for models like BGE, E5, and GTE — optimized for building RAG pipelines and semantic search at scale.
• Image Generation
  Stable Diffusion, SDXL, and Flux model APIs with ControlNet, inpainting, and img2img support for generating and editing images programmatically.
• Custom Model Deployment
  Deploy your own fine-tuned models on DeepInfra's infrastructure with the same optimization and API layer as pre-hosted models.
• Pay-Per-Token Pricing
  Usage-based pricing with no minimum commitments, often 3-10x cheaper than equivalent proprietary model APIs for comparable quality levels.

Open-source AI models have reached parity with proprietary alternatives for many tasks, but actually running them in production requires expensive GPUs, complex serving infrastructure, and ongoing optimization work. DeepInfra eliminates this barrier, making it practical for any developer to use Llama, Mistral, or Stable Diffusion in their applications with a simple API call and competitive per-token pricing.

For companies concerned about vendor lock-in with proprietary AI providers, DeepInfra provides an important offramp. The OpenAI-compatible API means applications can switch between DeepInfra's open-source models and proprietary providers without code changes, preserving flexibility as the rapidly evolving AI landscape matures.