AI model aggregator with API and chat interface.
51 Score™
89
Technology Innovation 87
Stability & Maturity 87
Technology Innovation 87
Technology Innovation 87
Traffic / month
2,857,300
Market Categories
Infrastructure
Use Case
LLM Development Platforms
Business Function
IT & Infrastructure
Industry
AI
Headquarters Location
New Castle, Delaware, USA.
Product Name
OpenRouter
Parent Company
OpenRouter
Founder
Alex Atallah
Web2vsWeb3
Web2
Access Model
SaaS
Pricing Model
Usage based
Target Users
SMEs
Token Name (Optional)
NA
Competitors
Hugging Face Inference API, RapidAPI
Feature completness
75% - Offers a robust set of features for routing and managing LLM requests, but lacks some advanced features like fine-grained access control and enterprise-grade monitoring.
Product differentiation
Infrastructure
Customer feedback
LLM Development Platforms
Years in business
2,857,300
Funding type
Infrastructure
Funding stage
LLM Development Platforms
Funding amount
LLM Development Platforms
Employee count
LLM Development Platforms
Employee growth
LLM Development Platforms
Tech stack modernity
Cloud-native architecture. Supports modern LLMs like GPT-4, Claude, and PaLM. Likely deployed on AWS, GCP, or Azure.
Product Roadmap
Focus on expanding model support, adding more advanced features like fine-grained access control, and improving performance and reliability.
Enterprise readiness
Designed for scalability and integration into enterprise workflows. SLAs and dedicated support may be available for enterprise customers.
Security & Compliance Readiness
OpenRouter is a young company: it provides GDPR-oriented disclosures in its privacy policy (users have rights to delete data, etc.), but as of 2025 it has not announced formal certifications like SOC 2 or ISO 27001 (those may still be in progress). In summary, the platform demonstrates enterprise-grade security design (encryption, SSO support, access control) and gives customers control over where their data flows, even if formal audits/certifications are not yet public.
API Type
Focus on expanding model support, adding more advanced features like fine-grained access control, and improving performance and reliability.
API Quality
Production-Ready
Documentation Link
Documentation quality assessment
Comprehensive and well-structured documentation with clear examples.
Support Methods
Community support via Discord. Dedicated support and account management may be available for enterprise customers.
Critical capabilities
Provides a unified API for accessing multiple LLMs, simplifying integration and experimentation. Offers features like load balancing, caching, and rate limiting, treaming responses, function/tool calling, image/PDF inputs for multimodal models.