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TokenPricing vs LeanCTX

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

TokenPricing compared with LeanCTX
DetailTokenPricing logo TokenPricingLeanCTX logo LeanCTX
What it doesCompare LLM API pricing across providers and models The Context Gateway for AI systems
StageNot given Not given
FoundedNot given Not given
Based inNot given CH
Pricing modelFree Freemium
PricingNot given Community: Free (open-source, local use). Pro: $9/month or $90/year (personal cloud sync, 1 GB hosted index). Team: $29/month per seat or $290/year per seat (team server, shared workspace, 20 GB index, 1-25 seats). Enterprise: Contact for pricing.
Key features
  • Compare pricing across 234 LLM providers
  • View input, output and cached token pricing
  • Track 628 LLM models
  • Access source-linked pricing information
  • Calculate monthly API budget
  • View pricing by context window
  • Filter by popular models
  • Source selection and retrieval with task-relevant context at configurable depth
  • Access controls via PathJail boundary enforcement and role-based permissions
  • Read-time content filters for injection patterns and personal data detection
  • Memory and continuity to retain findings and connections across sessions
  • Evidence and outcomes recording with source references and usage audit trails
  • Integration with AI tools via SDK, MCP, hooks and supported client adapters
  • Local, VPC, on-premises and offline deployment options
  • Optional production intelligence for planning, ranking and routing enhancements
  • SDK with five stable primitives and six Agent Tools language contracts
  • Context cache, reference routing and usage accounting
What makes it different
  • All pricing sourced with transparent links to original provider pages
  • Covers 9,593 pricing offers across models and providers
  • Separates input, output and cache-read pricing
  • Includes context window metadata for each model
  • Deterministic, model-agnostic context processing independent of AI provider choice
  • Governs context without controlling model calls, keeping AI decisions under user ownership
  • Records measurable impact with 64.1% reported context reduction in field use
  • Open-source core (Apache 2.0) with commercial tiers for teams and enterprises
  • Transparent governance with separate evaluation of task outcome from context delivery
Community votes00
DR (Domain Rating by Ahrefs)12 +1 (up) since last check42 no change since last check
Trust Flow (Majestic)63
Citation Flow (Majestic)2435
Referring domains (Majestic)17212

4 details filled in for both companies.

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