Comparison

Conifer and Helicone compared

Both give one API for AI models from many providers. This page sets out how each one works, using each company’s own published documentation.

Summary

Helicone is an observability platform with an AI gateway. It logs requests for analysis, offers sessions, prompts, datasets and alerts, and can be self-hosted from open-source code. Conifer is a hosted gateway that serves a named model only as named, reports the exact cost of every request, and refuses a request over a cost ceiling before any provider is called.

In March 2026 Mintlify announced that it was acquiring Helicone and that Helicone would continue in maintenance mode, with security updates, bug fixes and new models. Helicone’s site now says Helicone is no longer part of Mintlify, with details to come. Helicone details were read from helicone.ai, its documentation and Mintlify’s announcement on 7 November 2026. Plans and prices change; check the linked pages before you decide.

Side by side

Which one fits

Helicone may suit you if
Your main need is analysing LLM traffic, with sessions, users, prompts, datasets and your own queries; you want to self-host from open-source code; or you need data kept in an EU region.
Conifer may suit you if
You want a gateway that serves a named model only as named and states the model and the exact amount charged on every response, you want a cost ceiling enforced on each request before any provider is called, or you want automatic model choice limited to models you approve.

Moving from Helicone to Conifer

Address and key
Point your OpenAI client at Conifer and use a Conifer key.
OPENAI_BASE_URL=https://api.conifer.build/v1
OPENAI_API_KEY=$CONIFER_API_KEY
Model names
Use the model names in the Conifer catalog. Names with the lab in front, such as anthropic/claude-opus-5, are also accepted.
Provider order
Conifer picks the provider for each request and tries another provider for the same model if one fails. To try other models, list up to three fallbacks in a request header.
Limits
Set a cost ceiling on each request, and a spend cap on each key in place of per-user limits. Team accounts give each person their own key on one bill.
Logs and analytics
The Conifer console shows requests and cost for each key. If you rely on Helicone’s session, user or prompt analytics, plan where that work will live.

Replace your provider key has the full steps, Billing and caching covers ceilings and caps, and Teams covers team keys.

Read more

Conifer Gateway
One API key and endpoint for every model in the catalog, with the model and cost stated on every response.
What is an LLM gateway?
How a gateway sits between your software and the companies that serve models, and what to check when you choose one.
Conifer vs OpenRouter
The two gateways side by side, from each company's own documentation.
Conifer vs Portkey
The two gateways side by side, from each company's own documentation.
Conifer vs LiteLLM
The two gateways side by side, from each company's own documentation.
All comparisons
Conifer compared with eleven other LLM gateways and routers, from their own documentation.

Questions

Is Conifer an alternative to Helicone?
For the gateway, yes. Both give one API for models from many providers, with provider failover and cost records. Helicone is also an observability platform with sessions, prompts, datasets and alerts, and can be self-hosted. Conifer is a hosted gateway built around model access, cost receipts and spending limits.
What is Helicone’s status after Mintlify?
Mintlify announced in March 2026 that it was acquiring Helicone and that Helicone would continue in maintenance mode. Helicone’s site now says Helicone is no longer part of Mintlify, with details to come. Check helicone.ai for the current position.
Do I need provider accounts to use Conifer?
No. One Conifer key covers every model in the catalog, paid from a prepaid balance. You can also put your own Azure OpenAI resource behind the same key, and Conifer adds no fee on that usage.
How does Conifer report cost?
Every response carries the amount charged for the request, broken down into input, output and cached tokens, and a streamed response ends with the same receipt. The console shows requests and cost for each key.