Langfuse alternative
A Langfuse alternative built for makers, not platform teams
Langfuse is a serious tracing and eval workbench. Tokenwise is a co-pilot: one line, then a weekly email telling you what to cut — no ClickHouse to run, no spans to read.
Same space, different altitude
Langfuse (now backed by ClickHouse) is excellent if you’re an engineering team that wants to self-host, instrument spans, and own a tracing platform. Tokenwise is for the maker who has an OpenAI bill and wants it smaller — without learning a cockpit to fly.
Langfuse is genuinely good at what it does: OTel-native tracing, prompt management, datasets, and evals, with a credible open-source story. Teams that want to instrument deeply and self-host love it.
But for a solo maker the cost isn’t the license — it’s the time. Self-hosting Langfuse means operating Postgres, ClickHouse, Redis, and S3; even the cloud version is a workbench you read, not an advisor that tells you what to change. Tokenwise sells the outcome: plug in one line, get the three things to fix this week.
Langfuse vs Tokenwise
| Tokenwise | Langfuse | |
|---|---|---|
| Setup | 1 line — baseURL swap, auto-captures every provider | Instrument each call via SDK / OTel |
| What you operate | Nothing — it's hosted | Self-host = Postgres + ClickHouse + Redis + S3 |
| Built for | Solo makers & small teams | Engineering / platform teams |
| Cost optimization | Recommends, applies, and verifies savings | Tracing & evals — you read the dashboards |
| Weekly action email | Yes | No |
| Pricing | $19 flat (Indie), $79 Pro | Free Hobby, Core $29, Pro $199 |
| Open-source / self-host | Cloud only | Open-source (MIT) |
Less to wire up
With Langfuse you decorate or wrap your calls and stand up a backend. With Tokenwise you change a baseURL and every provider is captured automatically — no instrumentation decisions.
Before — Langfuse
import { observeOpenAI } from "langfuse";
import OpenAI from "openai";
// + run Postgres + ClickHouse + Redis + S3
// (or pay for cloud) and read the spans
const openai = observeOpenAI(new OpenAI());After — Tokenwise
import OpenAI from "openai";
const openai = new OpenAI({
baseURL: "https://proxy.tokenwisehq.com/openai/v1",
defaultHeaders: { "X-Tokenwise-Key": "tw_..." },
});When Langfuse is the better choice
- You want to self-host and own your data. Langfuse is MIT-licensed and built for it; Tokenwise is cloud-only.
- You need deep tracing and eval tooling.Langfuse’s datasets, prompt management, and span-level debugging go further than Tokenwise’s maker-grade evals.
- You have a platform team.If running ClickHouse is not a burden for you, Langfuse’s depth is a real advantage.
- Otherwise, if your scarce resource is time and your goal is a smaller bill, Tokenwise gets you there in one line.
Frequently asked
Is Tokenwise open-source like Langfuse?
No — Tokenwise is a cloud product, not self-hostable. The trade is that you run nothing: no ClickHouse, no Postgres, no backend. Your data is fully exportable via the public REST API, so there's no lock-in even though there's no self-host.
Can Tokenwise do evals like Langfuse?
Tokenwise has a maker-grade eval engine (LLM-as-judge, regression detection) that's enough to prove a cost change didn't hurt quality. It's not as deep as Langfuse's eval/dataset tooling — that's a deliberate focus on cost-per-quality, not a full eval platform.
Do I have to instrument my code?
No. Tokenwise is a baseURL swap that auto-captures across 8 providers. There are no spans to add or OTel collectors to configure.
What does it actually cost?
$19/mo Indie (200k requests, 60-day retention, 10 workspaces, alerts) or $79/mo Pro (2M requests, 180-day retention, evals, A/B, webhooks). Flat — no per-seat tax.
It’s a one-line change
Point your baseURL at Tokenwise, keep your keys and your code, and get a weekly email with the changes that cut your bill — proven on your own traffic before we recommend them.