FreeLLMAPI vs Olostep: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of FreeLLMAPI and Olostep — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

FreeLLMAPI

Tashfeen Ahmed

Freemium

Self-hostable router that aggregates free tiers from 34 LLM providers and 635 free model endpoints behind one OpenAI-compatible /v1 API.

Unified OpenAI-Compatible Endpoint: Exposes 635 free model endpoints from 34 providers behind a single /v1 API that existing OpenAI clients can use unchanged.
Smart Model Router: Selects the best available model per request and automatically falls over to another provider when one returns a rate limit.
Per-Key Quota Tracking: Monitors usage against each provider's free tier cap so requests are spread out and no individual key is exhausted.
Encrypted Key Storage: Provider API keys are stored encrypted rather than in plaintext configuration files.
Custom Endpoint Support: Any additional OpenAI-compatible chat, embedding, image or audio endpoint can be registered alongside the built-in providers.
Self-Hosting via Docker: Ships as a container image on GHCR with a Docker Compose setup, so the gateway runs entirely on your own infrastructure.
Desktop and Mobile Apps: Native builds for macOS and Windows plus an Android app on Google Play for running the router outside a server.
Signed Live Catalog: The model catalog updates itself from a signed feed, so new free models and quota changes arrive without pulling new code.

Zero-Cost Prototyping: Build and test an LLM application against free provider tiers before committing to a paid API contract.
Rate Limit Resilience: Keep a coding agent or chatbot running through provider rate limits by automatically failing over to another free endpoint.
Coding Agent Backend: Point Cursor, Claude Code or any OpenAI-compatible CLI at a single local endpoint instead of juggling provider keys per tool.
Model Comparison: Evaluate responses across hundreds of models from different labs through one consistent API surface.
Private Gateway Deployment: Self-host the router inside a network so provider keys and prompts never pass through a third-party proxy.
Multi-Provider Key Management: Consolidate scattered free-tier accounts into one encrypted store with visibility into remaining quota.

Olostep Technologies

Freemium

A single web data API for AI agents that scrapes, crawls, maps, searches, answers, and monitors sites, returning clean Markdown, HTML, or JSON.

Unified Web Data API: Seven endpoints — scrapes, crawls, maps, batches, searches, answers, and monitors — behind one object-oriented client instead of separate services.
Clean Format Output: Returns any URL as Markdown, HTML, screenshots, or structured JSON so content is immediately usable as LLM context.
Site Crawling with URL Globs: Retrieve every page on a site with max-page limits and include/exclude glob patterns, then iterate pages and fetch content per page.
Batch Processing: Process up to 100,000 URLs in roughly five to seven minutes for large enrichment and indexing jobs.
Natural-Language Search and Answers: Query the web in plain language for ranked links, or use the answers endpoint to get an AI-composed response with sources.
Web Monitors: Set up monitors that fire when something changes across the web, such as a company publishing a new blog post.
JS Rendering with Residential IPs: All requests, including those on the free trial, are JavaScript-rendered and routed through residential IP addresses.
Agent-Native Access: Native Python and Node.js SDKs plus an MCP server and CLI so coding agents and AI tools can call Olostep directly.

RAG Pipeline Ingestion: Crawl documentation sites and convert every page to clean Markdown for embedding into a retrieval index.
Agent Web Browsing: Give an autonomous agent reliable read access to any URL through an MCP server rather than a brittle custom scraper.
Lead and Company Enrichment: Batch-process tens of thousands of company URLs to extract structured firmographic data.
Competitive Monitoring: Watch competitor blogs, changelogs, and pricing pages and get notified when they change.
Real-Time Research: Run natural-language searches and pull AI-generated answers with source links inside an application.
Price and Catalog Tracking: Scrape ecommerce listings on a schedule to keep an internal pricing dataset current.