Gemini Enterprise Agent Platform vs Langfuse
A detailed comparison to help you choose between Gemini Enterprise Agent Platform and Langfuse.
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Verdict: Langfuse wins
Langfuse scores 4.3/5, edging out Gemini Enterprise Agent Platform at 4.1/5. Engineering teams running LLM apps or agents in production who want framework-agnostic tracing and evaluation with either a cheap managed cloud or a free self-hosted stack.
Gemini Enterprise Agent Platform Google Cloud's platform for building and governing AI agents | Langfuse Open-source LLM observability and evaluation | |
|---|---|---|
| Rating | 4.1 (1 review) | 4.3 (1 review) |
| Pricing Model | usage-based | freemium |
| Starting Price | Pricing varies | Free tier available |
| Best For | ML and platform engineering teams already on Google Cloud who want agents, models, AutoML and governance metered on one invoice. | Engineering teams running LLM apps or agents in production who want framework-agnostic tracing and evaluation with either a cheap managed cloud or a free self-hosted stack. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | api accesssso | free tieropen sourceapi access |
| Visit Gemini Enterprise Agent Platform → | Visit Langfuse → |
Gemini Enterprise Agent Platform
Pros
- + One invoice covers Gemini 4, 200-plus garden models, agent runtime, AutoML, training and notebooks — the broadest scope I track
- + Model garden prices are genuinely competitive: gpt-oss-20b at $0.07/$0.25 and Llama 4 Scout at $0.25/$0.70 per 1M tokens on one interface
- + Agent Compute at $0.085 per vCPU-hour makes small agent experiments cheap to start
- + New customers get $300 free credits, and the Gemini 4 promotion returns 50% of net spend as credits through 30 November 2026
- + Notebooks (Colab Enterprise/Workbench) with native BigQuery integration removed a data-export step from my evaluation workflow
Cons
- - Meter multiplication: Agent Compute, Memory Bank writes, governance evaluations and model tokens all bill separately, and only instrumentation shows the causal chain
- - The Vertex AI to Gemini Enterprise Agent Platform rebrand is breaking documentation links mid-flight; I would pin IaC to API versions, not console paths
- - AutoML and custom training are pricey for experiments — tabular forecasting training is $21.252 per node hour on the savings rate
- - Assumes Google Cloud fluency in IAM, projects and quota management before anything works
- - Third-party garden models can lag vendor APIs on version freshness; Grok 4.7 landed here after xAI's own endpoint
Langfuse
Pros
- + MIT-licensed core with free, unrestricted self-hosting — only named enterprise features like audit logs and SCIM need a licence key
- + A 5-seat team at 100k traces runs roughly $69/month versus about $420/month for the main closed alternative (Panoply's independent estimate, consistent with my bills)
- + OpenTelemetry-native tracing across OpenAI SDK, LangChain, LlamaIndex, Pydantic AI, Vercel AI SDK, CrewAI and raw OTLP
- + Graduated usage pricing is transparent and cheap: worked examples on the pricing page match my own invoices (200k units on Core = $37/month)
- + Dataset-backed evaluation with the langfuse/experiment-action GitHub step let me gate prompt changes in CI on a real test set
Cons
- - v3 self-hosting needs Postgres, ClickHouse, Redis and S3 where v2 ran on one container — a four-service system to operate
- - Heavy agent traces render slowly in the UI (issue threads #10391 and #9933 match the multi-second loads I measured)
- - Online evaluations score a sample of traffic rather than everything, so rare failure modes can go unscored
- - UI-configured evaluators cannot be triggered programmatically for scheduled pipelines in my setup
- - Owned by ClickHouse, Inc. since January 2026 — licence unchanged so far, but the vendor-independence profile shifted
Frequently Asked Questions
Which is better, Gemini Enterprise Agent Platform or Langfuse?▼
Langfuse scores higher at 4.3/5 vs 4.1/5 for Gemini Enterprise Agent Platform, making it the better-rated option in our comparison.
What is the difference between Gemini Enterprise Agent Platform and Langfuse?▼
Gemini Enterprise Agent Platform: Gemini Enterprise Agent Platform, formerly Vertex AI, is Google Cloud's platform for building, deploying and governing AI agents and models. Langfuse: Langfuse is open-source observability for LLM applications, tracing calls, running evaluations and tracking cost and latency in production.
Is Gemini Enterprise Agent Platform or Langfuse more affordable?▼
Gemini Enterprise Agent Platform starts at €0/mo, Langfuse starts at €0/mo. Check the comparison table above for current pricing.
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