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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.