📖 The AI Tool Bible

LangSmith vs LLM Stats

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
LangSmith
Evaluation
LLM Stats
Evaluation
TaglineLangChain's eval + observability platform.Live leaderboard and side-by-side comparison hub for 300+ frontier LLMs across reasoning, coding, and multimodal benchmarks.
CategoryEvaluationEvaluation
PricingFreemium· Free starter; Plus $39/mo per seatFree· Free to browse; underlying model usage billed by each provider
ModelPlatform (any LLM)Multi-model
Editorial score8.7 / 10
Use cases
LLM tracingevalsLangChain integration
model-comparisonbenchmark-trackingcost-analysiscoding-arenamodel-selection
Pros
  • Tight LangChain integration
  • Strong tracing UX
  • Mature dataset/eval flows
  • Reasonable per-seat pricing
  • Covers 300+ models with both benchmark scores and live latency/throughput
  • Side-by-side price-per-million-token columns make cost comparison trivial
  • Task-specific leaderboards (coding, math, research) instead of one global rank
  • Interactive arenas let you sanity-check outputs before committing to a provider
Cons
  • Best value if you're on LangChain
  • UI can feel dense
  • Relies on public benchmarks that frontier labs increasingly train against
  • Leaderboard itself is not open source and methodology is lightly documented
  • No first-party cost calculator or workload simulator for real traffic patterns
Websitewww.langchain.comllm-stats.com
Pick LangSmith if
  • Tight LangChain integration
  • Strong tracing UX
  • Mature dataset/eval flows
  • Reasonable per-seat pricing
Pick LLM Stats if
  • Covers 300+ models with both benchmark scores and live latency/throughput
  • Side-by-side price-per-million-token columns make cost comparison trivial
  • Task-specific leaderboards (coding, math, research) instead of one global rank
  • Interactive arenas let you sanity-check outputs before committing to a provider