Helicone vs Langfuse
Compare Helicone and Langfuse for gateway needs, tracing, prompts, MCP and data exports.
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Helicone combines a provider gateway with observability; Langfuse offers an open-source tracing and evaluation platform.
Helicone
Standardize provider access and request operations.
Langfuse
Connect traces, prompts and dataset experiments.
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Connect customer conversations to model and tool runs.
At a glance
| Area | Helicone | Langfuse |
|---|---|---|
| Architecture emphasis | AI Gateway with observability | Open-source AI engineering platform |
| Prompt workflows | Gateway-integrated prompt management | Versioning and SDK retrieval |
| MCP data access | Documented observability MCP server | Documented data MCP server |
| Data extraction | ETL and API extraction | UI and blob-storage exports |
| Trial focus | Routing behavior and trace context | Trace, score, and experiment workflow |
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Explore conversations, traces and prompt versions with our team.
Map the responsibilities
Provider routing, trace storage and prompt delivery are separate concerns. Choose which your new platform needs to own before changing the request path.
Both offer data MCP servers
Helicone and Langfuse document MCP access to observability data. Check the available tools, authentication and permissions for your assistant.
Compare prompts and exports
Helicone documents gateway-integrated prompts and ETL extraction. Langfuse documents versioned prompts, UI exports and blob-storage exports.
Questions & answers
Does MCP support mean automatic tool tracing?
No. Data access, documentation retrieval and runtime instrumentation are separate capabilities.
Will Langfuse replace my provider gateway?
Do not assume gateway parity. Validate routing requirements separately.
By Lunary · Documentation reviewed Sep 16, 2026
Sources & methodology (11)
Based on vendor documentation, not an independent benchmark or hands-on rating. Features and plans can change.
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