PrefactorvsHeliconevsLogfire

Helicone vs Logfire: how to choose

Both log model calls, track cost, version prompts and run a gateway. Helicone has been in maintenance mode since March 2026 and is not taking new cloud sign-ups, so for a new project Logfire is usually the practical choice of the two. If you already run Helicone, the useful question is what to move to and when.[3][4]

support-agent v4 · one run, two layersexample
Illustrative run, showing what each layer tells you
Helicone / Logfiresee
fetch_customer212ms · 1.2k tok
apply_refund1.4s · 3.1k tok
send_reply340ms · 0.8k tok
trace recorded, no verdict
Prefactoradds
Did its job✓ yes
Quality84 / 100
Cost$0.42 · in budget
Drift vs baselinenone
✓ a run that breaches its schema is held for review
§01 / THE SHORT ANSWERtl;dr: which, and when
TL;DR

What is the difference between Helicone and Logfire?

Helicone is an Apache-2.0 LLM request logger and AI gateway that has been in maintenance mode since March 2026, with new cloud sign-ups disabled; Logfire is Pydantic's actively developed OpenTelemetry platform with tracing, evals, prompt versioning and its own AI gateway. On 19 October 2026 Helicone said it is no longer part of Mintlify, which acquired it in March, and named no new owner. For a new deployment Logfire is usually the practical choice of the two, and existing Helicone users should plan a migration.

The short answer

At a glance (checked 20 October 2026)

Decision factorHeliconeLogfire
StatusMaintenance mode since March 2026; cloud sign-ups disabled; said on 19 October 2026 it is no longer part of MintlifyPydantic, independent; SDK releases through October 2026
LicencePlatform Apache-2.0; Rust gateway GPL-3.0, last updated November 2025SDKs MIT; platform closed source
Self-hostingFree: Docker, Docker Compose or HelmEnterprise only, on Kubernetes via Helm
Agent tracingSessions grouped by request headers; no span model for agent stepsOpenTelemetry spans for agent runs, tool calls and the surrounding application
EvalsNot an evaluation framework, per its docs; Python evaluators turned off in October 2026Offline experiments and live evaluations through pydantic-evals
GatewayOpenAI-compatible, 100+ providers, failover, cachingMultiple providers, failover, load balancing, guardrails, spend caps
PlansHobby free, Pro $79 a month; new sign-ups disabledPersonal free; Team $49 a month; Growth $249 a month
§02 / CAPABILITY MATRIXside by side: what each covers
Side by side

Helicone vs Logfire: capabilities side by side

CapabilityHeliconeLogfirePrefactor
Observe
LLM call tracing✓✓✓
Multi-step agent tracing (tool calls, nested spans)Partial✓✓
Cost tracking✓✓✓
OpenTelemetry supportPartial✓✓
Evaluate
Offline evals (datasets, experiments)Partial✓✓
Online evals on production trafficPartial✓✓
LLM-as-a-judge scoringPartial✓✓
Code-based evaluators—✓✓
Human review and annotationPartialPartial✓
Prompt versioning and playground✓✓—
Act on findings
Runtime controls on live agent actionsPartialPartial✓
Gateway or proxy in the request path✓✓—
Licence and deployment
Open source✓PartialPartial
Self-hosting✓PartialPartial
§03 / IN DEPTHdetail: the reasoning
In depth

Helicone's status in October 2026

Mintlify announced its acquisition of Helicone on 3 March 2026 and moved the product to a maintenance-only phase: patches, bug fixes and new model support, with help for customers migrating to other platforms. Cloud sign-ups have shown 'Sign ups are disabled' since the same day, and the last feature entry in the changelog dates from November 2025. On 19 October 2026 the site banner changed to say Helicone is no longer part of Mintlify, with details to come; no new owner or structure has been named.

Read more

The code is still moving, mostly defensively. In September 2026 Helicone fixed a platform-admin takeover and a cross-tenant read in its query language, reported through its disclosure programme. In October it shipped hardening for self-hosted installs, turned off Python evaluators and rate-limited LLM-as-a-judge calls. In May 2026 an AWS account lock took the dashboard and log processing down for about four days, while the proxy stayed up and queued logs were processed afterwards.

Logfire, by contrast, is in active development: the gateway moved into Logfire in March 2026, gained guardrails in July, and the Python SDK shipped version 5.2.0 on 13 October 2026. For a new deployment, that difference usually settles the choice before features do.

Gateway first, or trace first

Helicone was built around its proxy. The AI gateway offers one OpenAI-compatible endpoint for more than 100 providers, with failover, caching, custom rate limits, bring-your-own keys and credits at 0% markup. Cost per request is exact through its model registry and best-effort for direct integrations, with pricing for over 300 models and cost alerts, but no hard spend caps. Its prompt-injection blocking works with OpenAI models only. Agent runs are grouped into sessions with request headers rather than traced as spans.

Read more

Logfire starts from OpenTelemetry tracing of the whole application, then adds a gateway. That gateway routes to OpenAI, Anthropic, Google, Bedrock, Groq and others, with bring-your-own keys, failover and weighted load balancing, hard spend caps, per-project, per-user and per-key limits, and per-rule guardrails that can flag, redact or block. It also runs evals through pydantic-evals, which Helicone's own docs say it does not do.

Moving from Helicone to Logfire

Map each Helicone feature you use before switching. Gateway traffic moves to Logfire's gateway once you confirm your providers are on its list and reissue keys from Logfire. Session headers give way to OpenTelemetry instrumentation through Logfire's integrations, which cover the OpenAI and Anthropic SDKs, LangChain, LangGraph, LlamaIndex, CrewAI, the Vercel AI SDK and LiteLLM, among others. Plan to re-create prompt versions and environment labels in Logfire's prompt versioning. Thumbs-up and thumbs-down feedback has a rough equivalent in Logfire's run annotations, which are still in beta. Cost views carry over in a different form: Logfire shows cost as a queryable trace column where telemetry includes token data, and its gateway meters spend per project, user and key.

Read more

Self-hosted Helicone users face a different trade-off. The Apache-2.0 code keeps running, but you now carry patching and the ownership question yourself. Logfire self-hosting is an Enterprise plan feature, so it is not a free like-for-like replacement for a self-hosted install.

Pricing shape

As of 20 October 2026, Helicone lists Hobby free with 10K requests, 1 GB storage, one seat and 7-day retention; Pro at $79 a month with unlimited seats; and Team at $799 a month. With sign-ups disabled, new customers cannot start on any of them. Logfire Personal is free for 10M records a month with one seat, Team is $49 a month for five seats, Growth is $249 a month with unlimited seats, and extra records cost $2 per million. If you are moving off a paid Helicone plan, compare retention too: Helicone Pro keeps one month and Team three months, while Logfire Team keeps 30 days and Growth up to 90 days. See Helicone's pricing and Logfire's pricing.

§04 / THE QUALITY GAPour take: where it stops
Our take

Where Prefactor fits

We sell the layer this section describes. Read it with that in mind.

Stated plainly, since Prefactor publishes this page: Prefactor is an agent evaluation platform that scores each step of a run and acts on what it finds through runtime policies on tool calls and data access, approval holds for risky actions and a kill switch for a run, an agent or a team. Helicone's blocking covers prompt injection on OpenAI models, and Logfire's gateway covers model calls; neither covers tool actions or approvals. Prefactor has no prompt playground or prompt registry and its platform is hosted, so it does not replace a self-hosted Helicone install. See the full comparison of 15 platforms.

See it on your own agents

A working session on a fleet like yours: watch a run evaluated, catch a drift, walk the record.

§05 / WHICH TO PICKdecide: by your stack
Which to pick

Which one fits

Stay on Helicone for now if

  • You already self-host it and can carry patching and the ownership uncertainty yourself.
  • You use it mainly as a gateway and request logger, and it meets your needs today.
  • You are scheduling a migration and need time to plan it.
  • You need an Apache-2.0 codebase you can fork.

Pick Logfire if

  • You are starting a new deployment and need a vendor taking sign-ups.
  • You want OpenTelemetry spans for agent steps, not header-grouped sessions.
  • You want offline experiments and live evaluations in the same product.
  • You want hard spend caps and guardrails across providers on the gateway.
§06 / HOW WE REVIEWEDsources: checked October 20, 2026
Methodology

How we reviewed this comparison

Reviewed against public product and documentation pages on October 20, 2026. If a vendor has changed a feature, product name, or positioning since then, send a correction and we will update it. Numbered source links in the page body point to the ordered sources below.

Sources reviewed

  1. Helicone pricingChecked 2026-10-20.
  2. Helicone documentation
  3. Helicone ownership and status
  4. Logfire pricingChecked 2026-10-20.
  5. Logfire documentation
  6. Logfire website
  7. Prefactor platform
Prefactor context

Methodology

  • Reviewed public product, documentation, and launch material visible at the time of writing.
  • Mapped each page to the primary buyer, control layer, and runtime capabilities each vendor describes publicly.
  • Prefer direct product and documentation pages over analyst summaries or reseller material.
§07 / QUESTIONSfaq: the common ones
Questions
What is the difference between Helicone and Logfire?
Helicone is an Apache-2.0 request logger and AI gateway in maintenance mode since March 2026. Logfire is Pydantic's actively developed OpenTelemetry platform with whole-application tracing, evals, prompt versioning and a gateway with guardrails and spend caps.
How does Prefactor compare with Helicone and Logfire?
Prefactor is an agent evaluation platform for teams building AI agents: it observes every agent run from development to production, evaluates whether the agent did its job, and shows how to improve it. As of 20 October 2026, Prefactor can block or hold a live agent action; Helicone and Logfire do so in part. Prefactor scores live production traffic automatically; Logfire does too and Helicone does so in part. Helicone and Logfire both include prompt versioning and a playground. Prefactor evaluates how prompts perform in live runs rather than providing a prompt playground or registry.
Can I still sign up for Helicone?
Not for the cloud product. As of 20 October 2026, Helicone's sign-up page has shown 'Sign ups are disabled' since 3 March 2026. The Apache-2.0 code can still be self-hosted.
Should existing Helicone users migrate?
Plan for it. Helicone has shipped only patches, fixes and model support since March 2026, Mintlify offered help migrating customers, and on 19 October 2026 Helicone said it is no longer part of Mintlify with no new owner named.
Can I keep running self-hosted Helicone?
Yes, the main repository is Apache-2.0. Since the self-hosted Docker image no longer proxies LLM traffic, you also run the AI gateway, whose Rust repository is GPL-3.0 and was last updated in November 2025.
Does Logfire's gateway replace Helicone's?
For most uses. Logfire's gateway routes to several providers with failover, load balancing, spend caps and guardrails. Helicone's gateway lists more than 100 providers and response caching, so check your providers and caching needs before switching.
Who owns Helicone?
As of 20 October 2026: Unclear. Mintlify acquired Helicone in March 2026 and moved it to maintenance mode. On 19 October 2026 Helicone began saying it is no longer part of Mintlify, with no new owner named.
Is Helicone open source?
Yes. The main repository is Apache-2.0 and can be self-hosted. Its separate Rust AI gateway is GPL-3.0 and has not been updated since November 2025.
How much does Helicone cost?
As of 20 October 2026: Hobby is free with 10K requests, Pro is $79 a month and Team $799 a month, with Enterprise custom. New cloud sign-ups have been disabled since March 2026, so new customers cannot start on any plan.
Can Helicone block or hold a live agent action?
Partly. Its gateway can block prompt injection and jailbreak attempts, for OpenAI models only, and apply rate limits. There are no approvals or policies on agent tool actions.
Who owns Logfire?
As of 20 October 2026: Pydantic, the company behind the Pydantic library and Pydantic AI. It is independent and backed by Sequoia, which led its $12.5M Series A in 2024.
Is Logfire open source?
Partly. The SDKs, pydantic-evals and Pydantic AI are MIT-licensed; the Logfire platform is closed source. Self-hosting is Enterprise only.
How much does Logfire cost?
As of 20 October 2026: Personal is free with 10M records a month. Team is $49 a month and Growth $249 a month, each with 10M records included, then $2 per extra million. Enterprise is custom.
Can Logfire block or hold a live agent action?
Partly. Model calls routed through its AI gateway can be flagged, redacted or blocked, and spend caps stop requests over budget. Tool actions outside the gateway are not covered.
Is Prefactor open source?
Partly. Its deterministic evals package is Apache-2.0; the platform is hosted.
How much does Prefactor cost?
As of 20 October 2026: Dev is free with 5,000 spans a month. Startup is $49 a month and Scaleup $199 a month. Enterprise is custom above 4 million spans a month.
Can Prefactor block or hold a live agent action?
Yes. Runtime policies can block, throttle, sandbox or escalate an agent's tool calls and data access before they run, approval routing holds risky actions for a person, and a kill switch stops a run, an agent or a team.
Reviewed against public sources on October 20, 2026Suggest a correction

Score the run, then act on it

Prefactor scores each step of every agent run and can hold or stop an action when a score says it should not happen. Start on the free tier: 5,000 spans a month, no credit card required.

Agent Performance Platform
Unified performance platform for agents, authentication, and risk management
All Systems Operational
3Global Agents
7Instances
5Services
12%Human Intervene
4High Risk
$2,360Monthly Spend
Mission ControlLive agent health with 7-day activity heartbeat
Claims Proc...68
$330/moRed
Claims Proc...65
$160/moRed
Claims Proc...82
$170/moAmber
ChatGPT74
$150/moAmber

See how every agent performs, and make it better

Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.