Side by side
Langfuse vs LlamaIndex
A fact-based comparison built only from each tool's verified directory profile — pricing summaries, plan availability, platforms, and stated strengths and limitations. No rankings, no sponsored placement.
| Criterion | Langfuse | LlamaIndex |
|---|---|---|
| Category | Machine Learning & Deep Learning | RAG & Vector Databases |
| In one sentence | Open-source tracing, prompt management and evaluation for LLM applications, self-hosted or in the cloud. | Open-source framework for connecting LLMs to your data, plus the commercial LlamaParse document platform. |
| Problem it solves | Understanding and improving LLM app behaviour, cost and quality in production. | Getting messy documents into a form that LLMs can search and reason over accurately. |
| Free plan | Yes | Yes |
| Developer API | Yes — docs | Yes — docs |
| Open source | Yes | Yes |
| Platforms | Web (cloud), Docker, Kubernetes, Python SDK, JS/TS SDK | Python, Web (LlamaCloud) |
| Pricing (summary) | Self-hosting the open-source core is free. Langfuse Cloud: Hobby free (50k units/month), Core $29/month, Pro $199/month and Enterprise $2,499/month, each with 100k units included and graduated overage from $8 per 100k units. Checked 2026-10-19 | The LlamaIndex framework is free under MIT. LlamaParse plans: Free with 10K credits, Starter $50/month (40K credits), Pro $500/month (400K credits) and custom Enterprise; 1,000 credits cost $1.25. Checked 2026-10-19 |
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How to choose
Both profiles link to the vendors' official pricing — plan details change often, so verify there before buying. Pick based on the criterion rows above that matter to your workflow, not on rankings: we don't rank tools, because the right choice depends on your needs.