Head-to-head · Llm Monitoring
LangSmith vs Datadog LLM Observability
LangSmith leads on 1 check, Datadog LLM Observability on 0, and 4 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreLangSmith · 9.3/10
- Lowest starting priceLangSmith · $39/seat/mo
- Free planboth
- Most featuresDatadog LLM Observability · 3 of 3
LangSmith scores higher on our rubric for llm monitoring: 9.3 against 9.1 out of 10; our editors rank them #1 and #2.
LangSmith is cheaper to start at $39/mo against $160/mo. On deployment options, LangSmith gives you Both where Datadog LLM Observability offers Cloud.
LangSmith is the better fit for teams building and monitoring LLM applications and agents. Datadog LLM Observability is the better fit for teams already using Datadog.
- LangSmith fits best
Teams building and monitoring LLM applications and agents
- Datadog LLM Observability fits best
Teams already using Datadog
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Side by side
| Feature | LangSmith 9.3/10 Visit ↗ | Datadog LLM Observability 9.1/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 9.1 |
| Ranking | #1 in Llm Monitoring | #2 in Llm Monitoring |
| Best for | Teams building and monitoring LLM applications and agents | Teams already using Datadog |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $39/seat/mo (best) | $160/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud |
| Platforms | Web | Web |
| Support | Community, Email, Tickets, Docs · 24/7 | Docs |
| Integrations | 7 integrations | 10 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features LangSmith 2/3 · Datadog LLM Observability 3/3 | ||
| LLM tracing | ✓ | ✓ |
| Evaluation support | ✓ | ✓ |
| Alerts | Not checked yet | ✓ (best) |
| Specs | ||
| Deployment options | Both | Cloud |
| Trace retention | Not checked yet | 15 days |
| LLM providers | Not checked yet | OpenAI, Anthropic, Gemini, Vertex AI, AWS Bedrock |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | LangSmith brings development, testing, evaluation, monitoring, and deployment tools for LLM applications and agents into one platform. It supports applications built with LangChain, LangGraph, or other frameworks, making it relevant to… Read the review → |
Datadog LLM Observability, now presented as Agent Observability, helps engineering teams monitor and troubleshoot LLM-powered applications and agents in development and production. It records model calls and workflows at span level,… Read the review → |
Strengths and trade-offs
LangSmith — where it wins
- Combines tracing, evaluations, prompt tools, and production monitoring
- Traces agent and tool calls, with human feedback and annotation workflows
- Integrates with LangChain, OpenAI, Anthropic, Gemini, Bedrock, and OpenTelemetry
Where it doesn't
- Developer plan is limited to one seat and community support
- Paid seat plans charge usage-based fees beyond included trace allowances
- Enterprise pricing is custom
Datadog LLM Observability — where it wins
- Links agent traces with backend services, infrastructure, and user sessions
- Combines evaluations, datasets, experiments, and annotations
- Free plan includes up to 40K LLM spans per month and full feature access
Where it doesn't
- Cloud-only deployment
- Free and Pro plans both retain traces for 15 days
- Pro costs $160/month with annual billing; extra spans are metered
- LangSmith9.3/10 · Free plan
Broad LLM tracing and evaluation, with cloud, hybrid, and self-hosted options.
Visit LangSmithFull verdict → - Datadog LLM Observability9.1/10 · Free plan
LLM tracing and evaluation with Datadog context, plus a free plan and cloud-only deployment.
Visit DatadogFull verdict →
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All llm monitoring comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






