Cost model · Claude Fable 5 metered pricing

What Magic Saves Your Team on Agentic Backends

The same backend built two ways. From scratch, an agent writes a server, wires routes, rolls its own role-based auth, installs dependencies, debugs, and deploys. With Magic and Hyperlambda, it describes the backend in one sentence and gets a live, hosted, role-secured API. Drag the assumptions below to size the difference for your team.

How Magic cuts agentic backend build cost by 80 percent
The reference build

Two linked tables, eight endpoints, guest-role auth — in minutes

The benchmark behind this model is a real build: a tasks and clients database joined by a foreign key, a full CRUD API of eight endpoints, and access locked to a single role. From scratch that is roughly 140,000 tokens of generation and debugging. With Magic it was about 25,000 — an ~80% reduction, because the two genuinely expensive parts, authentication and hosting, collapse into a prompt.

Monthly savings
Annual savings
across the whole team
Share of Fable spend cut
Per employee / month
Monthly Fable cost — with vs without Magic
Without Magic
With Magic
From scratch — Bash/Write/Edit + install + debug + deploy Magic — Hyperlambda toolset
Assumptions — drag to fit your team
Input $/M Output $/M Cached in $/M
Monthly breakdown
PathInput tokensOutput tokensCost
Without Magic
With Magic
Saved
Method & fine print

How the number is built

Savings % = the share of work Magic can streamline × the efficiency gain on it — about 45% × 80% ≈ 36% of total Fable spend by default, and ~80% on the streamline-able slice itself. Cache-hit and rate changes move the dollar figures but not that percentage.

Token counts are calibrated estimates, not metered telemetry. Only the backend and integration slice of a developer's day gets the Magic discount; general coding, writing, and analysis are excluded. Engineering-time savings are not counted here and typically exceed the token savings. Rate basis: Claude Fable 5 metered pricing from July 13, 2026 — $10/M input, $50/M output, $1/M cached input.

Ready to build

Cut the expensive part out of backend work

Describe the database, API, and roles you need in natural language and let Hyperlambda generate a live, constrained backend — instead of paying tokens and hours to build, secure, and deploy it by hand.