Langfuse — Feature
This screen monitors AI model performance metrics including cost, latency, and usage tracking for multiple deployed models. The dashboard uses a multi-panel layout with line charts tracking percentile latencies and costs over time, metric tables showing per-model costs and token usage, bar charts for trace and score distributions, and KPI cards summarizing totals—arranged in a 3-column grid with interactive filtering and an "Ask a question" input for custom queries.
This is a static, crawlable rendering for search & AI engines. The interactive version — filters, live decode console, copy & export — is at https://mozaika.design/inspiration/langfuse-track-model-cost-and-latency.
Measured spec
| Scheme | light |
| Background | #F6F6F4 |
| Text | #D0D0CE |
| Contrast | 1.43 |
| Columns | 1 |
| Alignment | left |
| Whitespace | airy |
| Density | 0.082 |
| Measured size | 1600×1006 px |
Palette
#EDEDE8#020817#1863DC
Fonts
Inter
Page types
Detail
UX patterns
Stats / KPIs
UI elements
ChartCard
Context
Other sections on this page
- Hero — Open Source AI Engineering Platform
- Logo Wall — Trusted by 30k+ teams
- Steps / How-it-works — Launch, observe, improve loop
- Bento Grid — All the tools, one platform
- Integrations — Works with any stack
- Feature — Open platform, open source
- Feature — Made for developers and agents
- Feature — LLM observability and compliance overview
- Feature — Why use Langfuse? — Feature overview
- CTA / Sign-up — Start improving in 5 minutes
- FAQ — Questions and Answers
- Footer — Footer