Langfuse
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PromptLayer
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Rapidly ship AI without guesswork

Helicone AI
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MarginDash
LangSmith
LLMCap
OpenAI
Corrath
Know your AI costs per customer, per feature, per tier. PerUnit attributes every dollar of AI provider spend to the customers and features driving it.

Which is more popular?
Based on our record, Braintrust.dev seems to be more popular. It has been mentioned 3 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | braintrust.dev | perunit.ai |
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In their own words, as submitted to SaaSHub.

No description of Braintrust.dev yet.
Your AI bill is growing — but which customers, features, and pricing tiers are driving it? OpenAI, Anthropic, and Google dashboards show totals. Totals don't help you decide who to charge more, what to gate, or where to cut. PerUnit breaks down AI spend by customer, feature, and pricing tier so...
What each product offers, as listed by its team.

Possible disadvantages
An editorial look at what each product does well and who it suits.

No analysis of Braintrust.dev yet.
Overall verdict
Why this product is good
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How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Braintrust.dev and PerUnit.
PerUnit's answer:
PerUnit is built for AI unit economics, not just cost tracking. We break down AI spend by:
Customer — see which accounts drive costs Feature — see which AI features burn through tokens Pricing tier — free vs paid user breakdown We connect AI costs to revenue via Stripe. Provider dashboards show totals; observability tools show tokens. PerUnit shows who's driving costs and whether they're profitable. No data warehouse or pipelines — direct API sync to OpenAI, Anthropic, and Google.
PerUnit's answer:
PerUnit is built for product and pricing decisions, not observability. Competitors focus on tokens, latency, and traces. We focus on:
Cost per customer Cost per feature Cost per tier — connected to revenue If you need to know who to charge more, what to gate, or where to cut, PerUnit gives you that. No pipelines, no data engineering, no data warehouse.
PerUnit's answer:
Founders, product managers, and CFOs at companies building AI-powered products. Anyone who needs to answer:
Which customers cost the most? Are free users profitable? Should we gate AI behind paid plans? Teams that care about unit economics and margins, not just total spend.
PerUnit's answer:
We've shipped products with AI and watched margins disappear without knowing why. The AI bill was one number — we couldn't see which customers or features were driving it. Every product and pricing decision was a guess.
We built PerUnit so product teams can have the same clarity on AI costs that they have on revenue and headcount.
PerUnit's answer:
Frontend: Next.js, React, TypeScript, Tailwind CSS Integrations: OpenAI, Anthropic, Google APIs, Stripe Deployment: Vercel
PerUnit's answer:
PerUnit is in early access. We're onboarding a small group of teams who need clarity on their AI unit economics. Our early users are founders and PMs at companies building AI features — from early-stage to growth — who want cost attribution before scaling further.
Share your experience with using Braintrust.dev and PerUnit. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Braintrust focuses on evaluation-driven development: the idea that monitoring LLM applications means continuously scoring outputs against quality criteria, not just tracking latency and error rates. It's an eval platform first, with... - Source: dev.to / 4 months ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / 4 months ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline — the metadata.userId pattern is the universal part. - Source: dev.to / 4 months ago
Tracking PerUnit since Mar 2026.
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