Cloudflare AI Gateway vs LangSmith
Detailed side-by-side comparison to help you choose the right tool
Cloudflare AI Gateway
App Deployment
Cloudflare AI Gateway is a free AI observability and control layer that proxies requests to OpenAI, Anthropic, Google, and 25+ providers with caching, rate limiting, logging, DLP, and Guardrails.
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FreeLangSmith
🔴DeveloperAI Observability
LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.
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Starting Price
FreeFeature Comparison
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💡 Our Take
Choose Cloudflare AI Gateway for production traffic control: caching, rate limiting, failover, and edge-network performance across 20+ providers. Choose LangSmith if your priority is prompt engineering, evaluations, dataset-driven testing, and deep LangChain/LangGraph trace debugging — LangSmith is a developer-loop tool, AI Gateway is an ops/infrastructure tool, and many teams run both.
Cloudflare AI Gateway - Pros & Cons
Pros
- ✓Core features are genuinely free on every Cloudflare account — analytics, caching, rate limiting, DLP, persistent logs
- ✓One line of code change works with existing OpenAI, Anthropic, and Google SDKs across 25+ providers
- ✓Runs on Cloudflare's edge so proxy latency overhead is single-digit milliseconds globally
Cons
- ✗Log retention is capped per plan (100k Free / 10M per gateway Paid) — not unlimited
- ✗Span-level observability and evals are thinner than Langfuse or Helicone
- ✗Dynamic Routing, Spend Limits, and BYOK are still beta with documented rough edges
LangSmith - Pros & Cons
Pros
- ✓Best-in-class integration if you already use LangChain or LangGraph.
- ✓Eval suites are practical enough to actually gate releases on, not just dashboards.
- ✓Self-hosted Enterprise tier covers SOC 2 and regulated environments.
Cons
- ✗Per-trace pricing on Plus surprises teams that scale production traffic quickly.
- ✗Non-LangChain stacks work but trade ergonomic polish for SDK overhead.
- ✗Some eval features require additional LLM spend on top of the platform fee.
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