DeepInfra

🤖 Managed Inference

LLM Serverless APIs, Fast Image Generation, Voice AI

🏢 San Francisco, CA, USA📅 Since 2022★ 9.3/10🌐 Website ↗
Avg Latency
~30ms
Rate Limits
Dynamic
Free Tier
✓ Available
API Protocol
OpenAI-compatible API

The Value Leader in Open-Source AI

DeepInfra has carved out a massive niche in the AI developer community by aggressively driving down the cost of inference. They routinely offer the absolute lowest price-per-million-tokens for flagship open-source models like Llama 3 and Mixtral. For developers bootstrapping large-scale synthetic data generation, summarization pipelines, or massive RAG systems on a budget, DeepInfra provides an unbeatable economic proposition.

Multi-Modal Capabilities

Unlike strict LLM providers, DeepInfra offers a versatile, multi-modal API. Developers can use the exact same DeepInfra account to transcribe audio using OpenAI’s Whisper model, generate images using Stable Diffusion XL, and run complex reasoning tasks using Meta’s Llama 3. This consolidation of APIs drastically reduces billing complexity for indie hackers and small startups.

Drop-In Replacement

DeepInfra fully supports the OpenAI API specification. They provide clean, developer-friendly documentation allowing users to swap their Base URL and immediately route their LangChain or LlamaIndex workflows through DeepInfra’s cost-effective endpoints. While they may lack the heavy enterprise SLAs of larger competitors, their raw price-to-performance ratio is legendary among independent developers.

Supported Workloads

LLMVisionAudio (Whisper)

Pros & Cons

Pros
  • Historically some of the lowest per-token prices in the industry
  • Simple, no-nonsense API
  • Supports Whisper and Image generation alongside LLMs
Cons
  • Smaller company, less enterprise SLA focus
  • Occasional capacity constraints during peak hours

Served Models

Llama 3, Mixtral, Whisper, SDXL, Airoboros

Data Privacy Policy

Standard Privacy, No Training

OpenAI-compatible API

Drop-in replacement for OpenAI. Change one line of code — point your base URL to DeepInfra's endpoint instead of api.openai.com. All existing OpenAI SDKs (Python, Node.js) and libraries like LangChain or LlamaIndex will work out of the box.

Quick Start Snippet
Python
from openai import OpenAI
# Initialize the client pointing to DeepInfra
client = OpenAI(
 api_key='YOUR_API_KEY',
 base_url='https://deepinfra.com/v1'
)
# Run inference
response = client.chat.completions.create(
 model='your-chosen-model',
 messages=[{'role': 'user', 'content': 'Hello, world!'}]
)
WebsiteVisit Official Site ↗
Billing Model
Per-token billing

You pay purely based on input and output tokens. The most cost-effective and predictable model for LLM inference.

Generous Free Tier Available

Start building without a credit card. Perfect for prototyping and testing the API before scaling into production workloads.

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DeepInfra
🤖 Managed Inference
✓ Free tier available
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OpenAI SDK Compatible
Start for Free (No CC)
Scale to 0 (No idle costs)

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