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Head-to-head · AI LLM Evaluation Tools

DeepEval vs LangSmith

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score DeepEval #1 in AI LLM Evaluation Tools 9.4/10 Free plan Free plan✓ 1 of 3 features Visit DeepEval
LangSmith #4 in AI LLM Evaluation Tools 9.1/10 Free plan Free plan✓ 0 of 3 features Visit LangSmith

DeepEval leads on 0 checks, LangSmith on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDeepEval · 9.4/10
  • Free planboth
  • Most featuresDeepEval · 1 of 3

DeepEval scores higher on our rubric for ai llm evaluation tools: 9.4 against 9.1 out of 10; our editors rank them #1 and #4.

DeepEval is the better fit for teams needing deep, code-first LLM testing. LangSmith is the better fit for langChain-based teams needing a mature platform.

  • DeepEval fits best

    Teams needing deep, code-first LLM testing

  • LangSmith fits best

    LangChain-based teams needing a mature platform

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Side by side

Feature DeepEval 9.4/10 Visit ↗ LangSmith 9.1/10 Visit ↗
At a glance
Editor score 9.4 9.1
Ranking #1 in AI LLM Evaluation Tools #4 in AI LLM Evaluation Tools
Best for Teams needing deep, code-first LLM testing LangChain-based teams needing a mature platform
Pricing model Free Free plan + paid
Starting price Free plan $39/seat/mo
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Support Community, Docs Community, Email, Tickets, Docs · 24/7
Integrations 20 integrations 7 integrations
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features DeepEval 1/3 · LangSmith 0/3
Safety evaluations ✓ (best) Not checked yet
Prompt versioning Not checked yet Not checked yet
API access Not checked yet Not checked yet
Specs
Evaluation methods Not checked yet Not checked yet
Model support Not checked yet Not checked yet
Deployment Not checked yet Not checked yet
Our review
Pros
  • Pytest-style testing with multiple evaluation methods
  • Agent, tool-call, trace, span, and safety evaluations
  • Python and TypeScript SDKs with broad framework integrations
  • Tracing, evaluations, prompt versioning, datasets, and monitoring in one platform
  • Supports LangChain, LangGraph, major model providers, and OpenTelemetry
  • Cloud, hybrid, and self-hosted deployment options
Cons
  • The core product is self-hosted rather than a managed workspace
  • Requires code-based workflows for evaluation and CI/CD testing
  • Shared reports and production monitoring are optional cloud capabilities
  • Usage-based charges apply after included trace allowances
  • Enterprise pricing is custom rather than publicly listed
  • The Developer plan is limited to one seat
Our verdict

DeepEval is an open-source framework for evaluating AI applications, agents, RAG pipelines, chatbots, and MCP systems. It is designed for teams that want code-first testing in Python or TypeScript, with pytest-style unit tests and…

Read the review →

LangSmith is a commercial platform from LangChain Inc. for developing, testing, monitoring, evaluating, and deploying LLM applications and agents. It is designed for LangChain- and LangGraph-based teams, while also supporting applications…

Read the review →
  1. DeepEvalAI LLM Evaluation Tools 9.4Free plan
  2. LangSmithAI LLM Evaluation Tools 9.1Free plan

Strengths and trade-offs

  • DeepEval — where it wins

    • Pytest-style testing with multiple evaluation methods
    • Agent, tool-call, trace, span, and safety evaluations
    • Python and TypeScript SDKs with broad framework integrations

    Where it doesn't

    • The core product is self-hosted rather than a managed workspace
    • Requires code-based workflows for evaluation and CI/CD testing
    • Shared reports and production monitoring are optional cloud capabilities

  • LangSmith — where it wins

    • Tracing, evaluations, prompt versioning, datasets, and monitoring in one platform
    • Supports LangChain, LangGraph, major model providers, and OpenTelemetry
    • Cloud, hybrid, and self-hosted deployment options

    Where it doesn't

    • Usage-based charges apply after included trace allowances
    • Enterprise pricing is custom rather than publicly listed
    • The Developer plan is limited to one seat

More comparisons

All AI LLM evaluation tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update