DeepInfra vs Langfuse
A detailed comparison to help you choose between DeepInfra and Langfuse.
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Verdict: Langfuse wins
Langfuse scores 4.3/5, edging out DeepInfra at 4.1/5. Engineering teams running LLM apps or agents in production who want framework-agnostic tracing and evaluation with either a cheap managed cloud or a free self-hosted stack.
DeepInfra Run open AI models via simple API | Langfuse Open-source LLM observability and evaluation | |
|---|---|---|
| Rating | 4.1 (1 review) | 4.3 (1 review) |
| Pricing Model | usage-based | freemium |
| Starting Price | Pricing varies | Free tier available |
| Best For | Cost-sensitive engineering teams running RAG pipelines, batch jobs or high-volume agent workloads on open-weight models through a single OpenAI-compatible API. | Engineering teams running LLM apps or agents in production who want framework-agnostic tracing and evaluation with either a cheap managed cloud or a free self-hosted stack. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | api accessfree tierbyok | free tieropen sourceapi access |
| Visit DeepInfra → | Visit Langfuse → |
DeepInfra
Pros
- + Per-token pricing sits at the market floor: DeepSeek-V4-Flash-0731 at $0.06/M input and $0.18/M output at time of writing (deepinfra.com/pricing)
- + Cached-input discounts halve prompt-heavy costs automatically — DeepSeek V3.2 served cached prefixes at $0.13/M versus $0.26/M standard in my runs
- + Batch endpoint takes 1,000 requests per call at 50% off with 24-hour delivery, which I found ideal for classification and evaluation sweeps
- + Migration is a base-URL swap: my existing OpenAI client called DeepSeek-V3.2 on the first attempt with no adapter code
- + Financially credible for a budget provider: $107M Series B in May 2026 with NVIDIA and Samsung Next participating
Cons
- - Rate limits are enforced but not published; the 200-concurrent-request ceiling surfaced in third-party trackers, not vendor docs
- - Onboarding credit reporting conflicts across sources ($1, $5, or none) and the vendor pricing page does not settle it
- - No published SLA or managed routing on the serverless tier — model deprecations and repricing are your problem to absorb
- - Output pricing at the top of the catalog is steep (Kimi-K3 at $14.25/M output), so uncapped generation gets expensive fast
- - Catalog is overwhelmingly open-weight models; teams needing proprietary frontier models still need a second provider
Langfuse
Pros
- + MIT-licensed core with free, unrestricted self-hosting — only named enterprise features like audit logs and SCIM need a licence key
- + A 5-seat team at 100k traces runs roughly $69/month versus about $420/month for the main closed alternative (Panoply's independent estimate, consistent with my bills)
- + OpenTelemetry-native tracing across OpenAI SDK, LangChain, LlamaIndex, Pydantic AI, Vercel AI SDK, CrewAI and raw OTLP
- + Graduated usage pricing is transparent and cheap: worked examples on the pricing page match my own invoices (200k units on Core = $37/month)
- + Dataset-backed evaluation with the langfuse/experiment-action GitHub step let me gate prompt changes in CI on a real test set
Cons
- - v3 self-hosting needs Postgres, ClickHouse, Redis and S3 where v2 ran on one container — a four-service system to operate
- - Heavy agent traces render slowly in the UI (issue threads #10391 and #9933 match the multi-second loads I measured)
- - Online evaluations score a sample of traffic rather than everything, so rare failure modes can go unscored
- - UI-configured evaluators cannot be triggered programmatically for scheduled pipelines in my setup
- - Owned by ClickHouse, Inc. since January 2026 — licence unchanged so far, but the vendor-independence profile shifted
Frequently Asked Questions
Which is better, DeepInfra or Langfuse?▼
Langfuse scores higher at 4.3/5 vs 4.1/5 for DeepInfra, making it the better-rated option in our comparison.
What is the difference between DeepInfra and Langfuse?▼
DeepInfra: DeepInfra runs open-source AI models as a hosted API, so developers can call language, image and speech models without managing GPUs. Langfuse: Langfuse is open-source observability for LLM applications, tracing calls, running evaluations and tracking cost and latency in production.
Is DeepInfra or Langfuse more affordable?▼
DeepInfra starts at €0/mo, Langfuse starts at €0/mo. Check the comparison table above for current pricing.
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