Lepton AI

☠️ Discontinued

This provider has shut down

The API and/or company no longer operate. Everything below is kept for historical reference only — do not build on it.

DISCONTINUED: Lepton AI was acquired by NVIDIA in 2025 and absorbed into NVIDIA DGX Cloud Lepton, a GPU marketplace, not the same developer API product described below anymore. The API endpoint no longer resolves. Kept here for reference; consider NVIDIA NIM instead. Original listing: A developer-centric platform for building AI apps. Run simple, standard APIs for open source models like Llama, Mistral, and Stable Diffusion with auto-scaling.

Discontinued Acquired by NVIDIA Developer Friendly Auto-scaling
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Overview

Provider Type

Trial Credits

API Endpoint

https://api.lepton.ai/v1

Free Tier Highlights

API discontinued (see description)

Why Choose Lepton AI?

Lepton AI stands out for its unique features and capabilities. With a developer-friendly API and comprehensive documentation, you can integrate AI capabilities into your applications within minutes.

Quick Start Guide

1

Go to https://www.lepton.ai/

2

Sign in with GitHub

3

Get initial credits

4

Copy API Key

5

Use with OpenAI client or Lepton SDK

Available Models

Model Name ID Context Capabilities
Llama 3.1 70B
llama3-1-70b
8 000
Reasoning
Mistral 7B
mistral-7b
8 000
Reasoning
SDXL
sdxl
Image
-
WhisperX
whisperx
Audio
-

Integration Examples

Ready-to-use code snippets for your applications.

main.py
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LEPTON_KEY",
    base_url="https://api.lepton.ai/v1"
)

response = client.chat.completions.create(
    model="llama3-1-70b",
    messages=[
        {"role": "user", "content": "Explain serverless AI inference"}
    ]
)

print(response.choices[0].message.content)

Free Tier Pricing & Limits

Rate Limit

Requests per minute

60 Requests per minute

Daily Quota

Requests per day

Credit-based

Token Limit

Tokens per minute

Varies by model

Monthly Quota

Per month limit

One-time trial

Free Credits

One-time

$10

Use Cases

Rapid app development

Serving custom fine-tunes

Scalable production inference

Multimedia AI apps

Limitations & Considerations

Credits needed for production volume

Smaller model selection than aggregators

Focus on deployment over just API

Regional availability

Community Hub

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