LangSmith vs Modal

A detailed comparison to help you choose between LangSmith and Modal.

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Verdict: Modal wins

Modal scores 4.4/5, edging out LangSmith at 4.0/5. Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations.

LangSmith

LangSmith

LLM ops and observability platform

Modal

Modal

Run AI workloads serverlessly in Python

Rating4.0 (1 review)4.4 (1 review)
Pricing Modelfreemiumfreemium
Starting PriceFree tier availableFree tier available
Best ForTeams running LLM agents in production who need to trace, evaluate and improve them, and who will set a spend limit before trace volume grows.Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations.
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Team Features
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LangSmith

Pros

  • + Trace-based billing is agent-friendly: a 40-step agent execution bills as one trace, not forty spans (langchain.com/pricing definition)
  • + Improvement loop is complete — datasets, offline experiments, online evaluators, annotation queues and human feedback in one platform
  • + Instrumentation is fast: environment variables and an SDK gave me a full nested trace tree with per-step latency and token cost
  • + Framework reach beyond LangChain: documented integrations include OpenAI, Anthropic, CrewAI, Vercel AI SDK and Pydantic AI
  • + Engine reads production traces to detect recurring issues and diagnose root causes — a genuine step past passive dashboards

Cons

  • - Per-trace rates ($5.00 per 1,000 base, $7.50 extended) appear only in a tooltip, and secondary sources quote wildly different numbers
  • - Retention upgrades fire by default — new online evaluators and automation rules push traces into the extended class at ~50% higher cost
  • - Trace volume dominates the bill: one Plus seat at 100,000 traces/month computes to roughly $489 at published rates
  • - Traces bill in arrears and self-hosting, SAML/OIDC SSO and RBAC are Enterprise-only, which complicates compliance-driven deployments
  • - Tuned Evaluators are still public beta and the newer surfaces (Engine, Fleet) are young enough to change under you
View full LangSmithreview →

Modal

Pros

  • + Slim-image containers accepted work in ~1-3s from zero in my tests; heavyweight torch+7B init ran 15-25s, consistent with the docs' seconds-to-minutes range
  • + Per-second metering reconciled against my own container-uptime arithmetic within a percent or two over several weeks
  • + Fan-out to 50 workers took one decorator and no queue plumbing; scaling up and back was invisible in the code
  • + Full public rate card: H100 $0.001097/sec down to T4 $0.000164/sec, plus $30/month free credits on the Starter plan
  • + Sandboxes (1B+ instances launched per company figures) give a built-in answer for running AI-generated code safely

Cons

  • - Python only — no first-class Go, Rust or Node story for polyglot teams
  • - Billing covers container uptime including cold starts: a 20s model load on H100 costs ~$0.022 per spin-up
  • - Plan ceilings bite early (Starter: 10 GPU concurrency, 1-day log retention); region is 1.15-1.75x and non-preemptible/Sandboxes 3x
  • - No model catalogue — checkpoint serving and inference frameworks are your own code
  • - HIPAA, SSO and audit logs are Enterprise-tier, pushing regulated workloads into a sales process
View full Modalreview →

Frequently Asked Questions

Which is better, LangSmith or Modal?▼
Modal scores higher at 4.4/5 vs 4.0/5 for LangSmith, making it the better-rated option in our comparison.
What is the difference between LangSmith and Modal?▼
LangSmith: LangSmith is LangChain's platform for tracing, testing and monitoring LLM applications, with datasets and evaluations for measuring changes. Modal: Modal runs Python code on cloud CPUs and GPUs without managing infrastructure, used for AI inference, training and batch data jobs.
Is LangSmith or Modal more affordable?▼
LangSmith starts at €0/mo, Modal starts at €0/mo. Check the comparison table above for current pricing.

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