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Google Vertex AIGoogle Cloud's managed platform for training, deploying and operating ML models.
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2

Google Vertex AI vs Langfuse

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Google Vertex AI is the stronger AI pick in MLOps Platforms: it has a visibility score of 33.1 versus 0.3 for Langfuse, and ranks ahead in 100% of the answers that name both.

Choose Google Vertex AI if…

  • You want the brand AI engines rank higher (33.1 vs 0.3)
  • You need ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or ISO/IEC 42001 or SOC 1 or SOC 2 or SOC 3 or HIPAA-related attestations or PCI DSS or FedRAMP-related items coverage
  • unified ML platform across the lifecycle
  • strong Google Cloud integration

Choose Langfuse if…

  • AI answers describe it more positively (50% vs 31% positive)
  • You need a self-hosted or on-premises option
  • You need SOC 2 Type II or ISO 27001 or HIPAA-ready region or GDPR coverage
  • Discounted cloud pricing for qualifying early-stage startups

AI visibility side by side

Latest weekly run · Nov 2

Metric Google Vertex AI Langfuse
Visibility score33.1%0.3%
Change vs last weekNewNew
Rank in MLOps Platforms#5#51
Share of voice7.2%0.2%
Mentions this run491
Positive in AI answers31%50%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Google Vertex AI 33%

Google Vertex AI 0pp · Langfuse 0pp over 0 weekly runs.

Engine by engine

Google Vertex AI leads on 3 of 3 engines

ChatGPT
40.2%
0%
AI Mode
25.6%
0.9%
Perplexity
33.5%
0%
Google Vertex AILangfuse

Head to head in AI answers

1 engine answers name both brands

1Google Vertex AI ranked higher
0Langfuse ranked higher
PromptEngineGoogle Vertex AILangfuse
Top MLOps platform options for B2B SaaS companies AI Mode#4#10

Features, pricing & fit

DimensionGoogle Vertex AILangfuse
Pricing model—Usage-based
Entry price—Free; paid from $29 / mo
Free plan—Yes
DeploymentManaged cloud service on Google CloudLangfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license
Integrations—100+
ComplianceISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, ISO/IEC 42001, SOC 1, SOC 2, SOC 3, HIPAA-related attestations, PCI DSS, FedRAMP-related itemsSOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR
Support—Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans
Founded2021—
HeadquartersMountain View, California, United States—
Funding—Seed · $4M raised
Best for—Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation

Plans side by side

Google Vertex AI

Pricing not available.

Langfuse

Hobby$0month
Core$29month
Pro$199month
Enterprise$2,499month
Langfuse pricing

Pros and cons

Themes from the AI answers that mention each brand

Google Vertex AI

  • unified ML platform across the lifecycle
  • strong Google Cloud integration
  • strong support for generative and foundation models
  • robust MLOps and agentic workflow support
  • $300 starter credits
  • less developer-centric for Python, Kubernetes and Git-based teams
  • usage-based costs depend on compute, storage and API usage

Langfuse

  • Discounted cloud pricing for qualifying early-stage startups
  • Well suited to evaluating and debugging LLM or agent behavior

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Google Vertex AI vs Langfuse”, https://slateindex.ai/compare/google-vertex-ai-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.