Anthropic API vs Langfuse
API for Claude — frontier models for chat, tool use, agents, and long-context reasoning
vs. Open-source LLM engineering platform — observability, prompts, evals
Pricing tiers
Anthropic API
Opus 4.7 — usage
Input $5 / output $25 / cache-write $6.25 / cache-read $0.50 per 1M tokens. Batch = 50% off.
Custom
Sonnet 4.6 — usage
Input $3 / output $15 / cache-write $3.75 / cache-read $0.30 per 1M tokens. Batch = 50% off.
Custom
Haiku 4.5 — usage
Input $1 / output $5 / cache-write $1.25 / cache-read $0.10 per 1M tokens. Batch = 50% off.
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 opus-4-7 on Anthropic API vs hobby on Langfuse.
| Metric | Anthropic API | Langfuse |
|---|---|---|
| discount batch | 50 % off | — |
Features
Anthropic API · 0 features
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 | Anthropic API | Langfuse |
|---|---|---|
| CLI | Claude Code CLI | — |
| SDK | Go SDK, Java SDK, Python SDK, Ruby SDK, TypeScript SDK (@anthropic-ai/sdk) | langfuse-js, langfuse-python |
| REST | AWS Bedrock, Google Vertex AI, Microsoft Azure AI, REST API (Messages + Agents) | Langfuse REST API |
| MCP | — | Langfuse MCP Server |
| OTHER | — | Langfuse Dashboard, OpenTelemetry endpoint |
Staxly is an independent catalog of developer platforms. Outbound links to Anthropic API 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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