AI product
OpenRouter is a platform that provides a unified interface and API for accessing and comparing multiple AI models and their pricing. It aggregates model endpoints so developers can route prompts to different providers from a single place.
15 uses taken from transcripts — each links to the moment in the video.
Routes requests among different AI model providers and lets users choose based on factors such as uptime and data retention, including selecting lower-cost providers.
OpenAI-compatible model provider used to configure a Buzz agent running Muse.
Provides a unified interface and gateway to multiple LLMs, model discovery, inference-provider routing, benchmarking, failover, enterprise safety controls, and access to external models for multimodel systems.
A model-routing platform that provides a simple way to choose among AI models through a single API. The video says it is especially useful for developer tools, chatbots, model availability routing, and automatic fallbacks.
Routes requests across models and providers through a unified platform, with capabilities including semantic caching, cost management, virtual keys, metrics, and observability.
A model-routing service that lets developers connect to and acquire inference from different AI models through a single interface. The video says it charges a 5% markup and may face competition from inference exchanges.
Used as a source for observed model throughput and speed comparisons.
Makes the hosted model available to users and generates inference revenue.
A platform for accessing and routing requests among many AI models. The video says enterprises can use it to work with dozens of models and manage AI-intelligence or token spending.
Provides the model binding used to run the model inside the coding-agent workflow.
A model-routing gateway that routes requests from tools and products to different large language models. The discussion also highlights its user and usage data about which models businesses are choosing.
Provides the free AI model intended to power website generation and project updates.
Used to examine model use cases and estimate the share of workloads where latency is especially important.
Model access layer used through FAL.AI with one API key.
The service used to access Jev while testing the integrations.
16 in the library.