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Helicone vs Kilo Code

HeliconeKilo Code

Bottom line: Helicone for teams wanting simple, cheap LLM logging; Kilo Code for developers.

HeliconeHelicone

Open-source LLM observability and AI gateway in one line of code.

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Kilo CodeKilo Code

Open-source, model-agnostic AI coding agent for VS Code and JetBrains

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityCoding
Tags
llm-observabilityai-gatewayopen-sourcemonitoringcaching
ai-coding-agentopen-sourcevs-codemcpmodel-agnostic
Best for
  • Teams wanting simple, cheap LLM logging
  • Developers self-hosting an open-source gateway
  • Cost and usage monitoring across providers
  • Developers
  • Multi-model users
  • IDE-centric teams
Pros
  • Extremely easy integration via a one-line base-URL swap
  • Open source under Apache 2.0 and free to self-host
  • Tiny Docker image that runs almost anywhere
  • Gateway features like caching, failover, and rate limiting cut cost and improve reliability
  • Generous free tier of 10,000 requests per month
  • MIT-licensed and open source
  • Access to 500+ models
  • BYOK with zero markup
  • VS Code and JetBrains coverage
  • Subagent delegation and MCP support
Cons
  • Product is in maintenance mode after the Mintlify acquisition, with no roadmap
  • Long-term hosted-service viability is uncertain and migration may be needed
  • Usage-based overages mean the Pro price is a floor, not a cap
  • Short retention on lower tiers (7 days free, 30 days Pro)
  • Large price jump from Pro to Team for compliance features
  • Began as a Roo Code fork
  • Plan structure can be confusing
  • Separate KiloClaw product adds complexity
  • You still pay model costs under BYOK
  • Anaconda acquisition impact still unfolding

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