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What is ML Junction?

ML Junction offers developers a cohesive API for smooth interactions with diverse AI model providers. It supports compatibility with the SDKs of both OpenAI and Anthropic, incorporates capability-aware routing, and features systems for retries and fallbacks, while also providing request-level controls for cost management and privacy. Every request produces a comprehensive receipt detailing the selected route, the alternatives considered, the policies implemented, and the total expenses incurred. Moreover, ML Junction enhances model evaluations, boosts agent observability, and ensures effortless integration with LangChain. Its pricing model operates on a usage basis with prepaid credits, offering options that either include provider rates with an additional routing fee or allow users to apply their own provider keys. Tailored specifically for teams working on AI application development, it streamlines the workflow for greater efficiency. Additionally, ML Junction not only simplifies the integration journey for developers but also empowers them to harness the capabilities of multiple AI models effectively in their initiatives. This approach positions ML Junction as an invaluable tool in the rapidly evolving field of artificial intelligence development.

What is LLM Gateway?

LLM Gateway is an entirely open-source API gateway that provides a unified platform for routing, managing, and analyzing requests to a variety of large language model providers, including OpenAI, Anthropic, and Gemini Enterprise Agent Platform, all through one OpenAI-compatible endpoint. It enables seamless transitions and integrations with multiple providers, while its adaptive model orchestration ensures that each request is sent to the most appropriate engine, delivering a cohesive user experience. Moreover, it features comprehensive usage analytics that empower users to track requests, token consumption, response times, and costs in real-time, thereby promoting transparency and informed decision-making. The platform is equipped with advanced performance monitoring tools that enable users to compare models based on both accuracy and cost efficiency, alongside secure key management that centralizes API credentials within a role-based access system. Users can choose to deploy LLM Gateway on their own systems under the MIT license or take advantage of the hosted service available as a progressive web app, ensuring that integration is as simple as a modification to the API base URL, which keeps existing code in any programming language or framework—like cURL, Python, TypeScript, or Go—fully operational without any necessary changes. Ultimately, LLM Gateway equips developers with a flexible and effective tool to harness the potential of various AI models while retaining oversight of their usage and financial implications. Its comprehensive features make it a valuable asset for developers seeking to optimize their interactions with AI technologies.

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Integrations Supported

OpenAI
LangChain

Integrations Supported

OpenAI
ChatGPT
Claude
DeepSeek
Gemini Enterprise Agent Platform
Go
Google AI Studio
Groq
Java
Mistral AI
Next.js
PHP
Perplexity
Python
Ruby
Rust
Together AI
TypeScript
kluster.ai

API Availability

Has API

API Availability

Has API

Pricing Information

$5
Usage is billed per request at provider rates plus a routing fee. Customers can use prepaid credits or bring their own provider keys.

Pricing Information

$50 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

ML Junction

Date Founded

2026

Company Location

India

Company Website

mljunction.com

Company Facts

Organization Name

LLM Gateway

Company Location

United States

Company Website

llmgateway.io

Categories and Features

AI Gateways

Not specified

Categories and Features

AI Gateways

Not specified

LLM Routers

Not specified

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