Finest vs Helicone
Last updated 2026-08-19
Helicone is an open-source LLM observability platform: it logs requests, traces agent runs, and shows cost per user, per feature, per model, with gateway conveniences like caching and rate limits. Finest is an optimization gateway: it routes each request to the cheapest configuration proven safe for the task, serves your requested model when nothing is proven, and charges 25% of the savings it demonstrates. Helicone tells you where the money went. Finest is accountable for less of it going.
| At a glance | Finest | Helicone |
|---|---|---|
| Primary job | Lower the bill, with receipts | See and debug LLM traffic |
| Category | Optimization gateway | Observability platform with gateway features |
| Fee model | No model markup. 25% of proven savings per request. No saving, no fee. | Free tier and paid plans by request volume |
| Routing decisions | Evidence-bound, escalation on refusal | Not its job; passthrough with caching |
| Proof of value | A receipt per request: model served, evidence, saving. | Dashboards over your own data |
| Source | Managed service, published evidence | Open source, self-hostable |
Choose Finest when
- The mandate is spend reduction someone must prove, not visibility into spend.
- You want per-request accountability: model served, evidence, saving, on a receipt you can verify.
- You want to pay from results: no savings proven, no fee.
Choose Helicone when
- You need deep traces of agent runs, prompt versions, and per-user cost attribution.
- You are debugging quality or latency and need to replay exactly what happened.
- You want an open-source tool you can self-host next to your stack.
Dashboards do not lower prices
Observability earns its keep: teams that cannot see per-feature cost cannot manage it, and Helicone does that job well. But a dashboard's output is a decision left to you. Someone still has to decide which traffic is over-modeled, prove a cheaper configuration is safe, ship the change, and take the blame if quality slips.
Finest packages that entire loop. Task classes are measured against pre-registered bars, the evidence is sealed and published, routing happens only inside what the evidence authorizes, refusals and validator failures escalate to your requested model, and every request produces a receipt with the saving on it. The loop, not the graph, is the product.
Run them together
Nothing about Finest hides your traffic from your observability stack. Requests to Finest are ordinary OpenAI-shaped or Anthropic-shaped calls from your code, so the logging you have today keeps working, and Finest adds the layer no logger can: a per-request counterfactual of what the traffic would have cost pinned to your requested model.
Questions people ask
- Does Finest replace my observability tooling?
- No. Finest optimizes and proves; observability platforms record and explain. Teams commonly want both, and they do not conflict.
- Does Helicone route to cheaper models?
- Helicone's focus is logging, tracing, and gateway conveniences like caching and rate limiting. Choosing and defending a cheaper model per task is the job Finest exists for.
- How do I verify what Finest claims it saved?
- Every managed serve carries a receipt reference naming the model, the evidence, and the saving, checkable at finest.so/verification.
In 2 minutes, start cutting your API spend without sacrificing quality. Free if you don’t save money.
No model markup. You pay the host’s rate. 25% of what it proves it saved on a request. No saving, no fee.