What do your AI agents actually cost to run?
Drag the sliders. See flat-rate (osmoda) against usage-based (Manus credits, AWS Lambda) and per-seat platforms — modelled by your agent count and task volume. Every assumption is shown; the numbers are honest estimates, not quotes.
How this is calculated (and why these are estimates)
- Manus AI: $39 / 1,900 credits · ~700 credits/task.
- AWS Lambda + glue: per-request + GB-sec + ~$40 glue floor.
- Per-seat agent SaaS: $39/seat · 1 seat per agent.
- osmoda: flat $29 (Solo, 1 agent) / $99 (Pro, 2–4) / $199 (Team, 5–10) / $299 (Scale, 10–20+). No per-task or per-seat metering on hosting.
These are modelled estimates, not quotes. Usage-based costs depend on your actual task complexity, runtime, and the glue services a real agent stack accrues; per-seat costs depend on your vendor's tier. The honest takeaway is the shape: flat-rate cost is constant as you scale, usage and per-seat costs are not. Bring your own real bill and compare. See the full pricing page and the production-readiness matrix before you decide.
Why the pricing model matters more than the price
The number that bites you isn't this month's bill — it's next year's, after the product works. Usage-based pricing punishes success: an agent that goes from 200 to 2,000 tasks a day gets a 10× invoice, and the line item that was a rounding error becomes a budget meeting. Per-seat pricing punishes scale a different way: every new agent is another seat fee.
Flat-rate trades a slightly higher floor for a predictable ceiling. A $99/month Pro server runs 2–4 agents doing 50 tasks or 5,000 tasks for the same price — the hosting cost is constant, and the only variable that scales is your own LLM-token bill (which you control by bringing your own key). For anything you intend to grow, predictability is usually worth more than the cheapest possible month one.
That's the case osmoda makes — but don't take the calculator's word for it. Bring your real current bill, read the full pricing, check the production-readiness matrix (we're early-beta and honest about it), and compare platforms on more than cost.
FAQ
How much does it cost to run an AI agent?
It depends on the pricing model, not just the workload. On a flat-rate platform like osmoda, a single agent is $29/month regardless of how many tasks it runs; 2–4 agents are $99, 5–10 are $199. On usage-based platforms (AWS Lambda, Manus credits) the cost scales with every task — cheap at low volume, expensive as you grow. On per-seat platforms, cost scales with the number of agents. Use the calculator above to model your own agent count and task volume.
Is flat-rate or usage-based cheaper for AI agents?
Usage-based is usually cheaper at very low volume and flat-rate wins as you scale — that's the whole shape of the curve the calculator shows. The crossover point depends on task complexity and how many agents you run. The hidden cost of usage-based is unpredictability: a successful product that suddenly does 10× the tasks gets a 10× bill. Flat-rate trades a slightly higher floor for a predictable ceiling.
Are these numbers exact quotes?
No — they're modelled estimates with the assumptions shown in the 'How this is calculated' panel. Real costs depend on your actual task runtime, complexity, and the glue services a production agent stack accrues (NAT, state store, queues, logs). The calculator is for understanding the shape of each pricing model, not for a guaranteed invoice. Bring your real current bill and compare.
What does osmoda's flat rate actually include?
Every osmoda plan includes the full stack: a dedicated server with all 10 daemons, 92 typed tools, the SHA-256 hash-chained audit ledger, NixOS atomic rollback, watchdog self-healing, the KEYD vault, and root SSH. There are no per-token charges and no usage metering on the hosting itself — you bring your own LLM key, so model inference is billed by Anthropic or OpenAI at their rates, separately.