Langfuse Alternatives
Every Langfuse alternative roundup online is published by one of the tools it ranks first. This one isn't.
LangSmith, Braintrust, Arize AI, Galileo AI, and Helicone are the five real Langfuse alternatives worth pricing out, and every one of the write-ups comparing them right now is written by a vendor with a stake in which one wins: Braintrust ranks Braintrust first, Confident AI ranks itself first, and the pattern repeats. This page has no tracing or evaluation product to sell, so it just verifies every tier against each vendor's own pricing page, works the overage math that most of those write-ups leave vague, and covers the one question none of them ask: what happens after the agent ships, when a customer outside your own team wants to know what it actually did.
Why teams start comparing
What Langfuse does well, and the three reasons teams still look elsewhere
Langfuse traces every step an agent takes, from the request that comes in to the tool calls and model responses that produce what goes out, then layers evaluation, prompt management, and a playground on top of that same trace data. It is open source, genuinely free to self-host under an MIT license with no usage cap, and its Cloud pricing starts at $0 for fifty thousand units a month before climbing to $29, $199, and a custom $2,499-and-up Enterprise tier, full detail on the Langfuse pricing page. For a lot of teams that combination, tracing and evaluation in one open source tool, is genuinely the right call and there is no reason to look further.
Three things still send teams shopping. The billing model bills a trace, an observation, and a score as one combined "unit," and the graduated overage rate past a plan's included allowance, eight dollars per hundred thousand units dropping to six as volume climbs, takes real math to predict before a bill arrives. Some teams want a tool built around evaluation as the main product rather than a feature added to a tracer, which is the pitch Braintrust and Galileo AI lead with. And some teams running the self-hosted open source version want to hand the operational load, the ClickHouse cluster, the upgrades, the on-call, to a vendor instead, without losing the option to self-host entirely if a contract ever ends.
Five alternatives, verified against their own pricing pages
What LangSmith, Braintrust, Arize, Galileo AI, and Helicone actually cost
Every figure below comes from each vendor's own pricing page as of this page's publish date, not a list price a third party writeup forgot to update.
LangSmith
Built by the LangChain team, so it reads LangChain and LangGraph internals natively. Developer is free for one seat and five thousand base traces a month. Plus runs $39 a month per seat with unlimited seats and ten thousand base traces included. Both tiers meter overage separately: $1.50 per Compute Unit and $1 per Storage Unit past the base allowance. Enterprise is custom priced and adds self-hosted and hybrid deployment.
Braintrust
Eval-first, with unlimited users, projects, and experiments even on the free Starter tier, which includes ten dollars of model credit and fourteen days of retention. Pro is $249 a month flat, no per-seat charge, covering five gigabytes of data and fifty thousand scores. Enterprise has no published price, quoted through sales only, and adds full role-based access control plus on-premises deployment.
Arize AI
Unlimited seats and unlimited evaluations on every tier, so cost scales with data instead of headcount. AX Free covers twenty five thousand spans and one gigabyte of ingestion with fifteen days of retention. AX Pro is $50 a month for fifty thousand spans, ten gigabytes of ingestion, and thirty days of retention. Phoenix, Arize's own open source tracer, is free and self-hostable with no span cap, though it sits in Arize's docs rather than on the same pricing table. Full Arize pricing breakdown here.
Galileo AI
Free covers five thousand traces a month with unlimited users and unlimited custom evaluations, no stated retention window. Pro is $100 a month billed yearly, close to $150 billed monthly per independent pricing coverage, for fifty thousand traces plus standard role-based access control. What happens past that trace count is never stated on Galileo's own pricing page. Full Galileo AI pricing breakdown here.
Helicone
A lighter-weight proxy for cost and request tracking rather than a full evaluation suite. The free Hobby tier covers ten thousand requests, one gigabyte of storage, and seven days of retention on a single seat. Pro is $79 a month with unlimited seats and thirty-day retention. Team runs $799 a month with SOC 2 and HIPAA compliance and five organizations. Enterprise adds SAML SSO and on-premises deployment, custom priced.
What none of the five answer
Every one of them scores your agent. None of them show your customer what it's worth
Every published comparison of Langfuse alternatives describes the same audience: an engineering team choosing where to trace and evaluate its own agent. Laminar's own rundown of seven tools, Braintrust's rundown of five, and Confident AI's eval-first comparison all build the entire piece around setup time, framework fit, and evaluation depth, and not one of them raises the question of whether a customer outside the company should ever see any of it. That holds across LangSmith, Braintrust, Arize AI, Galileo AI, and Helicone too: every dashboard is built for the team that shipped the agent, scoped to one account, with no notion of a paying customer as a separate audience with numbers of their own.
If you sell an AI agent inside a product other companies pay for, that gap becomes the second problem right after the first one gets solved. A customer renewing a contract wants their own deflection rate and cost per resolution, scoped to their own traffic only, and none of the five tools above, or Langfuse itself, were built with a second tenant layer in mind. AiAgRe's Node SDK connects to a LangChain, LlamaIndex, or CrewAI agent the same way a tracer does, tags each event with an organization identity and a customer identity at the point of ingestion, and turns that into white-labeled dashboard components a customer sees inside your own product instead of a shared login to your tracing tool. It doesn't replace the pre-launch evaluation work these tools do well: most teams keep one of them for testing an agent before it ships, and add AiAgRe for proving what it does once real customers are using it.
The honest answer, not the sales pitch
Three signs switching away from Langfuse isn't worth it yet
None of these show up in a feature comparison table. They show up once the migration is actually on the calendar.
A working self-hosted deployment already exists
Langfuse's self-hosted open source tier is genuinely free with no usage cap, unlimited units, and organization-level SSO included. Rebuilding that setup on a new vendor's cloud plan usually costs more in migration time than the billing predictability it buys back.
Tracing and evaluation both matter, and neither dominates
Langfuse covers both jobs in one tool at a lower combined cost than running a tracer-first product like Helicone alongside an eval-first one like Braintrust or Galileo AI separately. Splitting the two only pays off once one job clearly outgrows the other.
The billing math, once worked out, is actually fine
The graduated per-unit overage rate looks unpredictable until it's run against real traffic. A team that does that math and finds Langfuse's Core or Pro plan lands cheaper than a per-seat or per-request alternative has no real reason to switch on cost alone.
FAQs
Langfuse alternatives: frequently asked questions
Common questions from teams pricing a Langfuse alternative before they switch, or before they add a second tool on top.
What makes a team start looking for a Langfuse alternative?
Three reasons come up most often. The unit-based billing model, where a trace, an observation, and a score all count toward the same meter, gets harder to predict once an agent handles real traffic, since the graduated overage rate past a plan's included allowance takes some math to see coming. Some teams want evaluation to be the main product rather than a feature layered onto a tracer, which is the pitch Braintrust and Galileo lead with instead. And some teams running self-hosted Langfuse want to hand the ops work to a vendor instead of running the ClickHouse-backed stack themselves, without losing the open source option entirely.
Which Langfuse alternative fits a LangChain or LangGraph team best?
LangSmith is the closest fit if the agent already runs on LangChain or LangGraph, since it is built by the same team and reads the framework's internals natively rather than through a generic SDK hook. Helicone is worth a look if the priority is a thin proxy that adds cost and request tracking without asking for much integration work. Braintrust or Galileo AI fit better if evaluation depth, regression testing, and dataset management matter more than tracing itself. Arize AI is the pick if unlimited seats and unlimited evaluations on every tier matter more than the lowest entry price, since its cost scales with data volume instead of headcount.
Is LangSmith actually cheaper than Langfuse?
At the free tier, no: LangSmith's Developer plan covers five thousand base traces on a single seat before its per-unit overage starts, against Langfuse's Hobby plan, which covers fifty thousand units across two seats. Past the free tier the two get harder to line up directly, since a Langfuse unit and a LangSmith trace are not the same thing, and LangSmith's overage runs through its own Compute Unit at a dollar fifty and Storage Unit at a dollar rather than Langfuse's flat per-hundred-thousand-unit rate. LangSmith's Plus plan also bills forty dollars a month per seat on top of usage, a cost structure Langfuse's unlimited-seat Core and Pro plans do not carry at all.
Does switching away from Langfuse mean losing LangChain, LlamaIndex, or CrewAI support?
No. LangSmith, Braintrust, Arize, Galileo AI, and Helicone all integrate with LangChain through SDK hooks or callback handlers, the same general pattern Langfuse uses, so moving tracing tools does not mean rebuilding an agent already running on any of those frameworks. AiAgRe's own Node SDK ships the same three integrations, which is why it sits alongside a tracer rather than asking a team to change how the agent is built and observed in the first place.
Is there any real reason to stay on Langfuse instead of switching?
Yes, and it is worth saying plainly since most roundups skip it. A team that has already put real engineering time into a self-hosted Langfuse deployment gets a genuinely free, MIT-licensed option with unlimited units and no usage cap, a deal none of the five alternatives on this page match at the same price point. Teams that want both tracing and evaluation in one place, rather than picking a tracer-first tool and adding a separate evaluator, also tend to find Langfuse's combined feature set covers more ground out of the box than a single-purpose alternative does. Switching only pays off once the specific gap, billing predictability, evaluation depth, or managed hosting, actually costs more than the migration itself.
Do any of these five alternatives let a customer see their own dashboard?
No. LangSmith, Braintrust, Arize AI, Galileo AI, and Helicone all render results inside a workspace scoped to your own account, built for your own engineers, with no separate view for a customer outside your company, the same limit Langfuse itself has. AiAgRe covers that second job specifically: a Node SDK that reads the same kind of trace data these tools already produce and turns it into a white-labeled dashboard your own customer sees inside your product, scoped so one customer never sees another customer's numbers.
Can I run AiAgRe alongside Langfuse, LangSmith, or any of these tools?
Yes, and that is the usual setup rather than a workaround. AiAgRe's SDK taps the same underlying agent events a tracer already reads, tags each one with an organization and customer identity at ingestion, and does not require removing whatever tracing or evaluation tool is already in place. Most teams keep one of the five tools on this page, or Langfuse itself, running for internal debugging and add AiAgRe's dashboard components for what their own customers see once the agent is live.
Does AiAgRe replace Langfuse or any of its alternatives?
No, and it is not trying to. Langfuse, and every alternative on this page, is built for testing and debugging an agent before and while it ships: dataset evaluations, prompt iteration, trace-level debugging for the engineers who wrote it. AiAgRe starts only once that part is done, reading the traces a tool like Langfuse or LangSmith already produces and turning them into the deflection rate, cost per resolution, and resolution rate your own paying customer sees. Most teams run one of the tools above for the first job and add AiAgRe for the second, rather than asking one tool to do both.
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