HiWay2LLM vs Helicone

Helicone and HiWay2LLM end up in the same box on most vendor comparison tables: "LLM middleware, OpenAI-compatible, OSS option". That shorthand hides the fact that they were built to solve different problems and still primarily solve those different problems.

Helicone started life as a logging proxy. You change your base URL, you get every request captured in a dashboard with cost, latency, prompt, response. It has since grown — caching, prompt experiments, jobs — but the center of gravity is still observability.

HiWay started life as a router. You change your base URL, you send model: "auto", and the router scores the prompt and picks the cheapest capable model. Observability exists — logs, cost breakdowns, audit trails — but it is plumbing around the routing decision, not the product.

They sit in the same slot in your stack (the thing between your app and the upstream LLM). They are not interchangeable.

Quick decision

• You want to see every LLM request your app makes, with logs and cost dashboards, and you are not ready to pay? Helicone's free tier and OSS option are very hard to beat here.
• Your bill is the number you want to move? HiWay. Complexity-based routing is designed to drop your inference cost per request.
• You want to self-host the entire middleware stack? Helicone is open-source and genuinely self-hostable. HiWay is SaaS-only (EU-hosted).
• You are in the EU and need GDPR-aligned hosting + signed DPA without self-hosting? HiWay is EU-hosted on OVH by default.
• You need both observability and routing? You can stack them, but most teams end up picking one. Run the math on which problem is biting harder today.

Pricing

Helicone ships a generous free tier with request-level logging up to a cap, then paid tiers that scale with request volume and retention. There is also a self-hosted OSS version — check their public docs as of 2026-04-22 for current limits and plan details. The framing: you are paying for observability depth (retention, features, support), not for inference volume directly.

HiWay charges a flat monthly fee for the routing layer. Inference is billed by the provider directly on your own card at wholesale (BYOK, 0% markup on the token side):

The framing: you are paying for routing intelligence that pays for itself in inference savings. Smart routing auto-downgrades simple requests to cheaper models — 40-85% savings on a typical mix — which overtakes the $15/mo Build subscription within hours of real use, at any scale.

These are not directly comparable price tags because you are buying different products. A useful heuristic: if the question is "what is the cheapest way to get good LLM observability", Helicone's free tier is usually the answer. If the question is "what is the cheapest way to run $X of inference per month", HiWay's flat router fee plus wholesale inference is usually the answer.

Feature-by-feature

When to pick which

Migration — what actually changes in your code

If you are on Helicone today, switching is a base-URL + header change. Helicone's canonical setup overrides the OpenAI base URL and passes your Helicone key via a header alongside your provider key. HiWay replaces that with its own base URL and a single HiWay key (your provider keys live in the dashboard).

from openai import OpenAI

client = OpenAI(
  base_url="https://oai.helicone.ai/v1",
  api_key="sk-openai-...",
  default_headers={
      "Helicone-Auth": "Bearer sk-helicone-...",
  },
)

response = client.chat.completions.create(
  model="gpt-4o",
  messages=[{"role": "user", "content": "Hello"}],
)

from openai import OpenAI

client = OpenAI(
  base_url="https://app.hiway2llm.com/v1",
  api_key="hw_live_...",
)

response = client.chat.completions.create(
  model="auto",  # let the router pick
  messages=[{"role": "user", "content": "Hello"}],
)

Two extra steps before the switch: add your provider keys once in the HiWay dashboard (Settings → Providers), and keep model: "auto" if you want the router to pick — or pin a specific model if you want to force it.

Logging proxy vs router — why that distinction matters

Both Helicone and HiWay sit in the same slot in your stack: between your app and the upstream LLM. That is where the similarity stops.

A logging proxy (Helicone's original and still-core identity) forwards the request your code sent, logs everything about it, and returns the response. It does not decide. If your code asks for GPT-4, you get GPT-4. If your code asks for a 200-token Haiku reply to "hello", you get that too — and you pay for the model you asked for, even if a cheaper one would have answered identically. The value is you now know what happened.

A router (HiWay's core identity) reads the request before it leaves your stack and picks a cheaper capable model when one exists. A "hello" goes to Haiku at a fraction of a cent. A code refactor goes to Sonnet. A hard reasoning task goes to Opus. You pass model: "auto" once; the scoring happens in under 1ms per request. The value is you now spend less without your code knowing.

Both are legitimate architectures. They answer different questions. The observability tool answers "what did the LLM just do and what did it cost?". The router answers "can we spend less and get the same answer?". You can plug one into the other, but asking one product to be excellent at both usually makes it average at both.

A practical setup we see: HiWay in the critical path for cost routing and zero-log inference, a separate observability tool (Helicone or otherwise) on a sampled slice for audit and debugging. You keep the router lean where latency matters and get the deep visibility where it is worth the log-write cost.

Data & compliance

Helicone's core value is seeing what your LLMs did, which means by design it captures and retains prompt/response data. That is the point. If you self-host the OSS version, you control residency and retention yourself. If you use the hosted version, check their public docs for current region and retention options.

HiWay is operated from France by Mytm-Group, hosted on OVH servers in the EU. Zero prompt logging is the default — prompts transit in-memory and are never persisted. We sign a DPA on request (even on the free plan) and publish our sub-processors. If you need request logs for debugging, it is opt-in per workspace with a configurable retention window.

If data residency and zero-persistence are hard compliance checkboxes, HiWay's default fits out of the box. If you want full observability and full residency control, self-hosting Helicone on your own EU infra is the answer.

FAQ

Bottom line

Helicone and HiWay both change the base URL. They do not solve the same problem. Helicone answers "what did my LLM calls just do?" with best-in-class logs, dashboards and a free OSS option. HiWay answers "can we spend less on the same capability?" with a complexity-scored router, 0% inference markup and BYOK. Pick the one whose question matches the one you are asking this quarter.

If your quarter's question is cost, plug your current spend into the savings calculator and see what routing does to it.