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ClearML vs Tare

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

ClearML compared with Tare
DetailClearML logo ClearMLTare logo Tare
What it doesNot given See where your AI coding agent's tokens go, cut the waste without breaking the prompt cache, and get a receipt for every saving
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Freemium
PricingCommunity: Free (up to 3 users, includes 100GB artifact storage, 1GB metric events, 1M API calls/month). Pro: $15 per user/month plus usage (up to 10 users). Scale: Custom quote for organizations with 8-48 GPUs. Enterprise: Custom quote for organizations with multiple large projects. Free for open source (Wrapped, all fixes with undo, receipt, skill, plugin, MCP server). Team: $30 per developer, or 10% of verified savings, whichever is lower (spend by engineer, cost per merged PR, CI gate). Enterprise: contact for self-hosted, SSO, finance exports, procurement-grade reports.
Key features
  • Infrastructure Control Plane for GPU cluster management
  • AI Development Center with IDE for model development
  • GenAI App Engine for LLM deployment
  • Experiment tracking and model management
  • Dataset versioning and management
  • Multi-tenancy and role-based access control
  • Session log analysis with token pricing breakdown
  • Categorized spending attribution by startup context, tool output, sub-agents, and cache rebuilds
  • Safe automatic fixes for output trimming and cache countdown
  • Undo capability for all changes
  • Receipt comparing cost-per-commit before and after with 90% confidence range
  • Shareable card with visualization of token usage
  • Command output trimming to reduce context bloat
  • Cache expiration countdown in status line
  • MCP server integration for any agent
  • Claude Code plugin with skill and MCP server
What makes it different
  • Three-layer platform combining infrastructure management, AI development, and GenAI deployment in one solution
  • Open-source foundation available on GitHub
  • Trusted by 2,100+ organizations and 300,000+ AI builders
  • Reads actual logs your agent already keeps, not a third-party service
  • Fixes only trim new content without rewriting cache to preserve prompt optimization
  • Open source under Apache 2.0 with no incentive to make you spend more tokens
Community votes00
DR (Domain Rating by Ahrefs)65 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)120
Citation Flow (Majestic)320
Referring domains (Majestic)9670

3 details filled in for both companies.

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