Groq vs Langfuse
Fastest LLM inference — LPU-powered (300-1000+ tokens/sec)
vs. Open-source LLM engineering platform — observability, prompts, evals
Pricing tiers
Groq
Free Tier
Generous free RPM / TPM by model. Great for dev + small apps.
Free
On-Demand (paid)
Pay-as-you-go per token. OpenAI-compatible API, no infrastructure to manage.
$0 base (usage-based)
Developer Tier
Higher rate limits for production apps.
$0 base (usage-based)
Enterprise
Custom. Dedicated capacity, SLA, on-prem option.
Custom
Langfuse
Hobby (Cloud Free)
Free. 50k units/month included. 30 days data access. 2 users. Community support.
Free
Self-Hosted (OSS)
MIT-licensed. Docker Compose or Kubernetes deployment. Unlimited.
$0 base (usage-based)
Core
$29/month. 100k units included ($8 per 100k overage). 90 days retention. Unlimited users. In-app support.
$29/mo
Pro
$199/month. 100k units included + same overage. 3 YEARS retention. Unlimited annotation queues. High rate limits.
$199/mo
Teams Add-on
+$300/month. Adds Enterprise SSO + fine-grained RBAC + dedicated Slack support to Pro.
$300/mo
Enterprise
$2,499/month. Everything + custom rate limits, uptime SLA, dedicated support engineer. Yearly options.
$2499/mo
Free-tier quotas head-to-head
Comparing free-tier on Groq vs hobby on Langfuse.
| Metric | Groq | Langfuse |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Groq · 7 features
- Audio Transcription — Whisper endpoint.
- Batch API — 50% discount.
- Chat Completions (OpenAI-compat) — Standard /v1/chat/completions endpoint.
- Function Calling
- JSON Mode — Enforce JSON output format.
- Prompt Caching — 50% discount on cached input.
- Streaming — SSE streaming for chat.
Langfuse · 16 features
- Annotation Queues — Human reviewers rate traces. Unlimited on Pro+.
- Dashboards — Aggregate metrics, cost, quality across projects.
- Datasets — Curate test sets from production traces. Run experiments.
- EU Cloud Region — GDPR-compliant hosting in EU.
- Evaluations — LLM-as-judge, manual scores, custom model-graded evaluators.
- LLM Cost Tracking — Automatic cost calculation per provider/model.
- OpenTelemetry Native — OTel SDK → Langfuse endpoint works out of box.
- Playground — Test prompts + models + variables live.
- Prompt Management — Version, tag, label prompts. Reference from code by label.
- Public API — Full REST API for ingest, query, prompt management.
- Python @observe decorator — One-line decorator to trace any function.
- Self-Hosting — Docker Compose + k8s Helm chart.
- Sessions — Group related traces (conversations, agent runs).
- Tracing — Capture every LLM call, tool call, nested span with inputs/outputs/cost.
- Users Tracking — Segment traces by user ID, track per-user cost.
- Webhooks — Subscribe to trace completion events.
Developer interfaces
| Kind | Groq | Langfuse |
|---|---|---|
| SDK | groq-python, groq-sdk (Node) | langfuse-js, langfuse-python |
| REST | Groq API (OpenAI-compat) | Langfuse REST API |
| MCP | — | Langfuse MCP Server |
| OTHER | — | Langfuse Dashboard, OpenTelemetry endpoint |
Staxly is an independent catalog of developer platforms. Outbound links to Groq and Langfuse are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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