OpenRouter Unified Interface To Use Many LLMs

Free & Paid
No Download/Install required
Registration required

Test and use a lot of Large Language Model (LLM) from a single location and interface. Their LLM list is easily sortable, with price, type, language and many other selectors.

Very convenient to test the latest LLM hype or hidden jewels without tons of registration.

Price depends on the LLM model selected, with several free … but registering to OpenRouter is mandatory which then permits 200 free access per day to OpenRouter + the LLM eventual costs.

Note: a setting in the admin area permit to select if you allow the LLM provider to train its model with your usage (or at least OpenRouter makes its best effort for LLM to respect that)

Disciplines: Artificial intelligence, Software engineering, Data science, Machine learning.

Free alternative to LiteLLM, Amazon Bedrock, Azure OpenAI in Microsoft Foundry Models.

OpenRouter compared with LiteLLM, Amazon Bedrock and Azure OpenAI in Microsoft Foundry Models
OpenRouter	LiteLLM	Amazon Bedrock	Azure OpenAI in Microsoft Foundry Models
Type of service: OpenRouter is a hosted gateway. One endpoint, OpenAI SDK compatible through the base URL, gives access to hundreds of models and handles fallbacks between providers.	Type of service: LiteLLM is an open source project. It is a Python SDK with a Router for retries and fallbacks, and a self-hosted proxy that speaks the OpenAI format to more than 100 providers.	Type of service: Bedrock is Amazon's managed platform for generative AI applications and agents. It sits inside an AWS account and adds guardrails, evaluation tools and distillation.	Type of service: Microsoft now documents these as Foundry Models sold by Azure, covering OpenAI GPT, o-series, gpt-oss, image, audio and embedding models. They are billed through an Azure subscription and covered by Azure SLAs.
Model coverage: The Standard plan lists 500+ models from 80+ providers, plus a free tier with 25+ free models. Many models from different labs can be tried without separate registrations.	Model coverage: Coverage depends on the keys you hold. LiteLLM routes to providers including OpenAI, Anthropic, Vertex AI and Bedrock, but does not host models.	Model coverage: Bedrock offers hundreds of foundation models from major AI companies. The overview page does not name the providers.	Model coverage: Mainly OpenAI-family models, with open-weight gpt-oss and a separate catalogue of partner and community models. Availability varies by region and quota tier.
Data handling: Prompts and responses are not stored unless you opt in. You can block routing to providers that may train on your data, and filter providers by data policy. EU in-region routing is reserved for enterprise customers.	Data handling: Self-hosting keeps the gateway under your control. What each upstream provider keeps is set by that provider and your own key.	Data handling: The vendor states Bedrock never stores or uses your data to train models. Listed compliance includes ISO, SOC, GDPR, FedRAMP High and HIPAA eligibility.	Data handling: Data stays within the customer's Azure tenancy and its compliance terms. Check the region availability list before choosing a deployment.
Cost model: Pay-as-you-go. Platform fees are listed at 5.5 percent (Standard) and 8 percent (Business), and the free plan allows 50 requests per day. Model prices come on top.	Cost model: The software is MIT licensed with no per-call fee. Enterprise features such as SSO and audit logs are offered separately, and you pay the providers directly.	Cost model: Billed through AWS, with a separate pricing page. Batch processing, prompt caching and routing are offered to cut cost.	Cost model: Billed through Azure per token, with pricing that depends on input size categories and deployment type.
When to choose it: Choose it to compare many models quickly with one account, or to prototype without contracting each provider.	When to choose it: Choose it when a team wants its own gateway with budgets, virtual keys and cost tracking across providers.	When to choose it: Choose it when workloads already run on AWS and need its governance and compliance controls.	When to choose it: Choose it for Microsoft-centred organisations that need OpenAI models under Azure contracts and SLAs.

Topics covered: OpenRouter, Unified Interface, Large Language Models, LLM, model selection, price comparison, language selection, user registration, access limits, admin settings, model training, data privacy, API integration, user experience, testing environment, machine learning, cloud computing, ISO/IEC 27001, ISO/IEC 25010, ISO/IEC 30170, IEEE 80211, and ISO 9241..