Groq
Very fast LLM inference on custom LPU hardware.

One API for hundreds of AI models across providers.
OpenRouter is the easiest way to build against many LLMs at once: one OpenAI-compatible endpoint, hundreds of models, automatic fallbacks, and a single bill. It is excellent for comparing models, avoiding lock-in, and adding resilience against provider outages. The roughly 5% markup on inference is a fair price for that convenience, and free models help prototyping. Caveats: you are trusting a middleman with your traffic and keys, latency can vary by upstream provider, and for a single high-volume model you may save by going direct. A strong default for multi-model and agent apps.
OpenRouter is a unified API gateway that routes requests to hundreds of LLMs across many providers through one OpenAI-compatible endpoint. It adds automatic fallbacks, price and latency routing, transparency into model usage, and consolidated billing, monetizing via a small markup on inference spend. It is popular with developers building multi-model and agent applications.
OpenRouter is an aggregation layer for large language models. Instead of integrating with each provider separately, developers call a single OpenAI-compatible endpoint and choose from hundreds of models across OpenAI, Anthropic, Google, Meta, DeepSeek, Mistral, and many open-model hosts. OpenRouter handles routing, automatic fallbacks when a provider is down, and price or latency-based selection, and it consolidates usage into one bill. The value proposition is flexibility and resilience: you can compare models, switch between them with a string change, avoid vendor lock-in, and keep working if one upstream provider has an outage. OpenRouter also surfaces useful transparency, including live rankings of model usage and per-model pricing, and it offers a number of free models with rate limits. OpenRouter monetizes with a small markup on inference spend (reported around 5%) plus payment processing, so you pay roughly upstream prices plus a fee for the convenience. It is popular with developers building agents and multi-model apps who value being able to route across providers without rewriting integrations.
OpenRouter is a unified API gateway that routes to hundreds of LLMs across providers through one OpenAI-compatible endpoint, with automatic fallbacks, price and latency routing, and consolidated billing. It monetizes via a small markup (reported around 5%) on inference. It excels for multi-model apps, model comparison, and resilience against outages, and offers free models for prototyping. Trade-offs include adding a middleman, the markup, and upstream-dependent latency. It is a strong default for agent and multi-model development.
OpenRouter was co-founded by Alex Atallah, previously co-founder and CTO of OpenSea, to provide a single interface to the growing ecosystem of language models. It launched as an aggregation and routing layer and grew rapidly with the proliferation of models.
The company has raised venture funding and reported very large weekly token volumes, reflecting broad developer adoption of its unified API.
OpenRouter exposes one OpenAI-compatible endpoint to hundreds of models across many providers. It handles routing, automatic fallbacks, and price or latency-based model selection, and consolidates usage into a single bill.
It also provides transparency features such as live model usage rankings and per-model pricing, and offers a set of free models with rate limits for experimentation.
Developers and teams building applications and agents that use multiple LLMs and want a single integration, provider redundancy, cost transparency, and the freedom to switch models without rewriting code.
Developers integrating multiple LLMs through a single API.
Engineering leaders standardizing on a model-routing layer.
AI application developers and agent builders.
A team building multi-model or agentic applications that wants one integration, cost transparency, provider fallbacks, and freedom from lock-in.
OpenRouter raised a reported seed round in early 2025 led by Andreessen Horowitz and a Series A later in 2025. In 2026 it reported a $113 million Series B led by CapitalG at approximately a $1.3 billion valuation, with participation from investors including a16z, Menlo Ventures, and several corporate venture arms. Treat specific figures as reported and verify with the company.
It applies a small markup on inference spend, reported around 5%, plus payment processing fees. You pay roughly upstream model prices plus that fee.
Hundreds of models from providers including OpenAI, Anthropic, Google, Meta, DeepSeek, and Mistral, plus various open-model hosts, all through one endpoint.
Yes. You call a single OpenAI-compatible endpoint and select models by string, which makes switching providers trivial.
Yes. OpenRouter offers a selection of free models with rate limits, useful for prototyping.
OpenRouter can automatically fall back to another provider or model based on your routing preferences, improving reliability.
Side-by-side pages for pricing, features, and best-fit use cases.
Very fast LLM inference on custom LPU hardware.
Inference, fine-tuning, and GPU clusters for open models.
Fast, production inference for open and custom models.
Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.