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Pydantic Logfire vs Tokmetry

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

Pydantic Logfire compared with Tokmetry
DetailPydantic Logfire logo Pydantic LogfireTokmetry logo Tokmetry
What it doesProduction-grade AI and general observability built on OpenTelemetry Know exactly where every AI dollar goes
StageEstablished Not given
Founded2018 Not given
Based inNot given PY
Pricing modelFreemium Freemium
PricingPersonal: Free with 10 million records/month hard-capped at $0. Team: $49/month with 10 million records included, $2 per million additional. Growth: $249/month with everything in Team plus unlimited seats and up to 90-day retention. Enterprise: Custom pricing for Cloud, Dedicated, or Self-hosted opt Free: $0/month (1 developer, 1 project, 7-day event history). Starter: $10/month (3 developers, 2 projects, 30-day event history). Team: $50/month (10 developers, 5 projects, 90-day event history). Business: $100/month (100 developers, 100 projects, 180-day event history).
Key features
  • Real-time cost tracking and model usage analytics
  • SQL query interface for traces and logs
  • Integrated evals framework for AI output evaluation
  • AI Gateway for centralized LLM API management
  • Feature flags and managed variables without redeploy
  • Track spending by project, developer, model and provider
  • Privacy-preserving SDK that never collects prompts or responses
  • Fail-open design ensures AI calls work even if Tokmetry API is down
  • Support for OpenAI, Anthropic and Google Gemini
  • Cost calculator to estimate spending on different models
  • No latency added to AI calls
  • Historical cost tracking with versioned pricing
What makes it different
  • Works with any language via standard OpenTelemetry, not proprietary SDKs
  • Traces full application stack, not just LLM layer
  • Integrated evaluation framework with production datasets and live evals
  • Querying production telemetry with standard PostgreSQL SQL
  • Built by the team behind Pydantic with 60K+ GitHub stars
  • Designed for privacy with only metadata collection, never storing prompts or API keys
  • Fail-open architecture ensures your AI application keeps running even if the service goes down
  • One-line integration with no proxy or gateway required
  • Unified view across multiple AI providers with normalized costs
  • Waste detection and cost comparison between models
Community votes00
DR (Domain Rating by Ahrefs)83 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)300
Citation Flow (Majestic)5422
Referring domains (Majestic)78802

5 details filled in for both companies.

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