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AI Infrastructure🔴Developer
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DeepInfra

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

Starting atUsage-based, ~$0.10–$3+ per 1M tokens
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💡

In Plain English

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

OverviewFeaturesPricingUse CasesFAQ

Overview

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.

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Key Features

Feature information is available on the official website.

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Pricing Plans

Serverless

Usage-based, ~$0.10–$3+ per 1M tokens

    Dedicated Endpoints

    Hourly per GPU

      LoRA Hosting

      Flat hourly rate

        Enterprise

        Custom

          See Full Pricing →Free vs Paid →Is it worth it? →

          Ready to get started with DeepInfra?

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          Best Use Cases

          🎯

          Cheap inference for open-source Llama, Qwen, DeepSeek, and Mistral models

          ⚡

          OpenAI-compatible drop-in replacement for cost or data-locality reasons

          🔧

          Self-hosted LoRA adapter serving without managing GPU infrastructure

          🚀

          Multi-modal pipelines using FLUX, Whisper, or BGE embeddings under one API

          Pros & Cons

          ✓ Pros

          • ✓Drop-in OpenAI base-URL swap means zero code change to migrate
          • ✓Among the cheapest hosted prices for popular open models (e.g. ~$0.10/M input on Llama 4 Maverick)
          • ✓LoRA hosting is unusual — most rivals make you self-deploy adapters or use Modal-style boxes

          ✗ Cons

          • ✗Latency on serverless multi-tenant can spike under load — Groq is faster for chat UX, dedicated endpoints cost more
          • ✗Smaller community and fewer enterprise features than Together AI for very large deployments
          • ✗Model catalog churns; popular fine-tunes can be deprecated with limited notice — verify availability before pinning a model in production

          Frequently Asked Questions

          How much does DeepInfra cost?+

          DeepInfra pricing starts at Usage-based, ~$0.10–$3+ per 1M tokens. They offer 4 pricing tiers.
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          Quick Info

          Category

          AI Infrastructure

          Website

          deepinfra.com
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          More about DeepInfra

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