LangSmith vs Braintrust
LangSmith bills your team seat by seat. Braintrust bills one flat fee no matter how many people log in. The crossover point is exact, and neither vendor's own comparison works it out.
LangSmith's Plus tier charges $39 per seat with no cap on how many an account adds. Braintrust's Pro tier charges $249 a month flat, with unlimited users on every tier from free Starter up. Divide the two and the breakeven lands at roughly six and a half seats, a number that decides which tool is actually cheaper before a single trace, score, or dataset gets counted. This page verifies every figure against each vendor's own current pricing page, runs the exact headcount math the top three results for this search all skip, and covers the one question no tier on either platform answers: what your own customer sees once they ask what the agent did for their account.
Two different starting points
What LangSmith and Braintrust actually do, before the pricing gets involved
LangSmith is LangChain's own managed observability and evaluation platform, built around near-zero-config tracing for LangChain and LangGraph specifically: set a couple of environment variables and traces start showing up. Past tracing it adds a managed agent deployment runtime, a no-code agent builder called Fleet, native production alerting on run count, error rate, latency, and cost, and human annotation queues for routing failed runs to a reviewer. Pricing runs on a seat count plus a base trace allowance, with two separate metered units, LangChain Compute Units and LangChain Storage Units, billing independently once that allowance runs out.
Braintrust starts from the opposite end: evaluation and scoring are the front door, with tracing built around that rather than the other way round. Every tier, including the free Starter plan, ships unlimited users, unlimited projects, unlimited datasets, and unlimited playgrounds, and Braintrust bills against processed data volume and scored outputs instead of seats. Pro adds a Loop agent for automating evaluation runs, custom charts, and unlimited human review scores for $249 a month flat, a single number that doesn't change whether five people or fifty people are logged into the same workspace.
Where they actually split, tier by tier
Seats, self-hosting, and what each one meters: the four places LangSmith and Braintrust differ
Every figure comes from each vendor's own current pricing page, checked again the day this page was published.
Pricing model: per seat vs flat fee
LangSmith Plus charges $39 per seat with no cap on seat count. Braintrust Pro charges $249 a month flat with unlimited users on every tier. The breakeven sits at roughly six and a half seats; below it LangSmith is usually cheaper, above it Braintrust usually is.
Self-hosting and deployment
Both gate real self-hosted or on-premises deployment behind a custom-priced Enterprise tier, quoted through sales only. Neither offers a genuinely free self-hosted option the way Langfuse does in the same category.
What each tool meters
LangSmith meters seats, base traces, then LangChain Compute Units at a dollar fifty and LangChain Storage Units at a dollar, billed independently. Braintrust meters processed data volume and scored outputs, at $3 to $4 per gigabyte and $1.50 to $2.50 per thousand scores depending on tier.
Where the depth sits
LangSmith's depth is native LangChain and LangGraph instrumentation plus built-in production alerting to Slack, PagerDuty, or a webhook. Braintrust's depth is evaluation-first tooling, a Loop agent for automated eval runs and unlimited human review scores on Pro, framework-agnostic through OpenTelemetry.
What neither pricing page answers
Both tools price what your team spends. Neither prices what your customer got.
The three results currently ranking for this comparison split cleanly into two vendor pages and one competitor's blog. Braintrust's own article and LangChain's own resource page for LangSmith each frame the decision around the criteria that favor themselves, which is exactly what a vendor's own comparison page is built to do. PromptLayer's writeup, from a company selling its own observability tool, covers the tier structure evenly but by its own admission leaves the team-size math unresolved, the same gap Braintrust's own article names directly as something it doesn't answer. None of the three run the actual $39-times-seats against $249-flat calculation this page opens with.
None of them raise a second question either: whether anyone outside your own company ever sees any of it. If you sell an AI agent inside a product other companies pay for, a customer deciding whether to renew wants their own deflection rate and cost per resolution, scoped to their own traffic, not a walkthrough of a LangSmith trace or a Braintrust score grid they can't log into. AiAgRe's Node SDK reads the same kind of underlying agent events either platform already processes, through the same LangChain, LlamaIndex, or CrewAI integrations, and tags each event with an organization identity and a customer identity at the point of ingestion. That turns into white-labeled dashboard components your customer sees inside your own product, isolated so tightly that one customer's numbers never reach another's view. It doesn't replace the evaluation work either tool does well; most teams keep one running for that job and add AiAgRe for what happens once a real customer is watching.
The full pricing breakdowns, reconciled line by line against each vendor's own current page, live on the LangSmith pricing page and the Braintrust pricing page. Where both sit against Langfuse, Arize, Portkey, and Galileo AI in the same category is on the LangSmith alternatives page.
FAQs
LangSmith vs Braintrust: frequently asked questions
Common questions from teams pricing the two against each other before they commit to a tier, or before they add a second layer on top.
How much do LangSmith and Braintrust actually cost?
LangSmith runs three tiers verified against LangChain's own pricing page: Developer is $0 a month, capped at one seat, with 5,000 base traces included before a dollar fifty per LangChain Compute Unit and a dollar per LangChain Storage Unit kick in. Plus is $39 per seat a month with no seat cap, 10,000 base traces included, and one complimentary small serverless deployment. Enterprise has no published number, quoted through sales only. Braintrust also runs three tiers, verified against its own pricing page: Starter is $0 a month with ten dollars of model credit, one gigabyte of processed data, ten thousand scores, and fourteen day retention, all with unlimited users. Pro is $249 a month flat, no per seat charge, with five gigabytes of data and fifty thousand scores included, thirty day retention, and unlimited human review scores. Enterprise is custom priced, same as LangSmith's top tier.
Why does team size change which one is actually cheaper?
Because the two price on completely different axes, and neither top comparison currently ranking for this search works out the actual crossover point. LangSmith Plus multiplies $39 by every seat an account adds; Braintrust Pro charges $249 flat no matter how many people log in, since Braintrust includes unlimited users on every tier, Starter through Enterprise. Divide $249 by $39 and the breakeven lands at roughly six and a half seats. A seven person team on LangSmith Plus already pays $273 a month in seats alone, more than Braintrust's entire Pro platform fee, before either tool's base trace allowance, LCU or LSU overage, or data and score overage enters the math. A fifteen person team pushes that further: $585 a month in LangSmith seats against Braintrust's same flat $249, plus whatever each tool's usage-based meters add on top. Below roughly six seats, the direction flips and LangSmith's per-seat model can come out cheaper, particularly for a one or two person team that fits inside Developer's free tier entirely.
Is Braintrust really built around evaluation first, and LangSmith around tracing first?
That split holds up in how each tool structures its own pricing and features, not just in how each one markets itself. Braintrust meters processed data and scores, bills unlimited human review scores as a named Pro feature, and includes a Loop agent for automating evaluation runs, all before tracing shows up as a line item anywhere on its pricing page. LangSmith meters seats and base traces first, with evaluation built on top of that same trace data through datasets and LLM-as-judge scorers rather than sold as the platform's own front door. Braintrust's own comparison materials describe features like CI/CD quality gates built on score thresholds; that claim comes from Braintrust itself and is worth confirming against your own pipeline before assuming it works exactly as described, the same caution worth applying to any vendor's description of its own product.
Can I self-host either one for free?
No, and that is the one place LangSmith and Braintrust land in the same spot instead of splitting apart. Self-hosted or hybrid deployment for LangSmith sits only on its custom-priced Enterprise tier, alongside custom SSO and role-based access control that Developer and Plus don't get at any price. Braintrust's own pricing page lists on-premises or hosted deployment as an Enterprise feature too, gated behind the same custom sales conversation as LangSmith's version. Neither offers anything close to a genuinely free self-hosted tier, which stands out against Langfuse in the same category, whose Open Source self-hosted tier runs under an MIT license with no usage cap at all. The fuller breakdown of that specific gap sits on the Langfuse vs LangSmith comparison.
Do the top comparisons of these two tools tell the full story?
Two of the three results ranking for this exact search are each vendor's own comparison page: Braintrust's own article and LangChain's own resource page for LangSmith, and unsurprisingly each ranks itself ahead on the criteria it chose to highlight. A third result, from PromptLayer, a competing observability vendor with its own pricing page, covers the tier structure fairly but stops short of working out what either tool costs at a specific team size, the same gap Braintrust's own article leaves open by name. None of the three verify the current numbers against a worked headcount example the way this page does, and none of them address what happens once a customer outside your own team asks what the agent did for their account.
Which one alerts you when something breaks in production?
LangSmith ships this natively. It supports threshold alerts on run count, error rate, latency, feedback score, and cost over five or fifteen minute windows, routed to Slack, PagerDuty, Dynatrace, or a webhook, no extra wiring required on Plus or Enterprise. Braintrust's pricing page and its own materials describe monitoring built around its score grid and the Loop agent watching evaluation runs, but a comparable built-in production alerting layer, a threshold on live latency or error rate paging someone at 3am, isn't part of what either tier publishes. If native production alerting decides this for you, that is a real point in LangSmith's favor worth weighing against the seat math above.
Does either tool show ROI or usage data to my own customers, and can I run AiAgRe alongside them?
Neither one does, on every tier each publishes. Braintrust's unlimited users on Starter through Enterprise means unlimited seats for your own team, not a scoped view for someone outside it, and LangSmith's RBAC and ABAC on Enterprise govern who inside your company sees a workspace, not a second tenant underneath it. AiAgRe's Node SDK reads the same kind of agent events either tool already traces or scores, through the same LangChain, LlamaIndex, or CrewAI integrations, and tags each event with an organization identity and a customer identity at ingestion. That turns into white-labeled dashboard components your own customer sees inside your product, showing deflection rate and cost per resolution scoped so tightly that one customer's numbers never reach another's view. Running it alongside LangSmith or Braintrust doesn't change how either one traces, scores, or bills a run; most teams keep one of them for their own pre-launch evaluation work and add AiAgRe for what a paying customer sees once the agent is live.
So should I pick LangSmith, Braintrust, or both?
Run the seat math against your actual headcount first. Under roughly six or seven people, LangSmith's per-seat pricing and its native LangChain instrumentation and production alerting are hard to beat, especially if the agent already runs on LangChain or LangGraph. Past that headcount, Braintrust's flat $249 platform fee and unlimited users usually wins on sticker price, and its eval-first design, the Loop agent, unlimited human review scores, suits a team where evaluation and regression testing are the daily job rather than a feature bolted onto tracing. Plenty of teams run both for different projects, and neither choice touches whether your own customer can see what the agent did for their account, which is covered separately on the LangSmith alternatives page and the multi-tenant analytics page.
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