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Head-to-head · AI LLM Evaluation Tools

DeepEval vs Langfuse

  • 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
Langfuse #6 in AI LLM Evaluation Tools 8.9/10 Free plan Free plan✓ 0 of 3 features Visit Langfuse

DeepEval leads on 0 checks, Langfuse 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 8.9 out of 10; our editors rank them #1 and #6.

DeepEval is the better fit for teams needing deep, code-first LLM testing. Langfuse is the better fit for open-source teams needing full evaluation observability.

  • DeepEval fits best

    Teams needing deep, code-first LLM testing

  • Langfuse fits best

    Open-source teams needing full evaluation observability

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Side by side

Feature DeepEval 9.4/10 Visit ↗ Langfuse 8.9/10 Visit ↗
At a glance
Editor score 9.4 8.9
Ranking #1 in AI LLM Evaluation Tools #6 in AI LLM Evaluation Tools
Best for Teams needing deep, code-first LLM testing Open-source teams needing full evaluation observability
Pricing model Free Free plan + paid
Starting price Free plan $29/mo
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Support Community, Docs Email, Live chat, Community, Docs
Integrations 20 integrations 100+ integrations
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features DeepEval 1/3 · Langfuse 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
  • Traces LLM calls, agents, tools, and retrieval steps
  • Combines evaluations, prompts, datasets, experiments, and annotations
  • Offers managed cloud, API access, and self-hosted deployment
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
  • Hobby limits access to 50k units monthly and 30 days of data
  • Advanced governance features require paid add-ons or enterprise plans
  • Enterprise pricing starts at $2,499 monthly before custom options
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 →

Langfuse is an open-source platform for teams building and operating LLM applications, AI agents, and workflow automation. It combines hierarchical application tracing with prompt versioning, evaluations, datasets, experiments, human…

Read the review →
  1. DeepEvalAI LLM Evaluation Tools 9.4Free plan
  2. LangfuseAI LLM Evaluation Tools 8.9Free 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

  • Langfuse — where it wins

    • Traces LLM calls, agents, tools, and retrieval steps
    • Combines evaluations, prompts, datasets, experiments, and annotations
    • Offers managed cloud, API access, and self-hosted deployment

    Where it doesn't

    • Hobby limits access to 50k units monthly and 30 days of data
    • Advanced governance features require paid add-ons or enterprise plans
    • Enterprise pricing starts at $2,499 monthly before custom options

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