The best and fastest LLM on the market.
The best LLM from Google
Best LLM for large context windows
The best LLM from Mistral
The best LLM on the market.
One of the best open-source LLMs
The LLM with best value for large context windows
The best value LLM on the market.
The more efficient LLM from Mistral
The fastest LLM with the largest context window
Most efficient LLM from Mistral
Any app developer that wants to use AI models in their apps has a few questions to answer:
Model Deployer solves these problems of using AI models in your app.
Track history, monitor usage and rate limit users in production
Give your users the option: monthly subscription, usage based, provide their own API key, or run their own model
All of the major LLMs are supported in a single interface
Multiple Embedding Models are supported in a single interface.
Switch between providers with a one-line config change—no code changes necessary.
Model Deployer is 100% open-source under the MIT license
AI models are great, but using them in your app can be tricky because they aren't free! If you run a high-magin SaaS business, you can probably fold it into your costs.
But all kinds of user-facing apps struggle with the economics of using expensive AI models.
Model Deployer solves these problems, by making it easy to use lots of different models in the same interface, tracking their usage, rate limiting, and offering ways to charge your users.
But we've gone even further, because Model Deployer is 100% MIT open-source software, and you can run it yourself for your users. Your users can even run it for maximum privacy and flexibility.
Access dozens of AI APIs hosted by Model Deployer.
Host Model Deployer on your servers and manage which AI models you support.
Let your users run their own Model Deployer locally, for maximum privacy.
Model Deployer makes it easy to deploy dozens of popular AI models in production.
Specify specific settings like temperature, max_tokens, rate limit and and schema—or override them on the client.
Quickly compare cost, usage and history across all your models and API keys.
Find problems, track opportunities and optimize costs with Model Deployer's event request history.
Every request to your model is tracked, including the request, response and options.
This gives you a detailed log of everything happening with your AI models.
API Keys let you setup custom models, configs, rate limits, defaults and more.
Easily track costs and rotate API keys for users in your app.
Whether it's setting up a new model, quickly switching between them in your app, rate limiting users, tracking history or managing costs—Model Deployer has what you need to serve AI models in production.