How Much Does an AI Agent Cost in 2026?

LLM / API costs (ongoing, separate from build cost)

The build cost above is one-time. Once an agent is live, it also runs on an LLM API — OpenAI or Anthropic — billed per token, separately from anything Tunovix charges. For most single-agent setups this runs $20–300/month depending on conversation volume and model choice; a high-volume customer support agent handling thousands of conversations a month sits at the higher end, a low-traffic internal tool at the lower end. There's no way to quote this precisely without knowing real volume — it's usage-based, the same way a phone bill is.

Hosting costs

An agent built as an MCP server or a webhook-based integration (the pattern this site's own MCP development work uses) typically runs on serverless infrastructure like Cloudflare Workers, where cost scales with actual requests rather than a fixed server bill — for a single agent's traffic this is usually a marginal cost, not a separate line item worth budgeting for on top of the LLM API bill above.

Maintenance costs

An agent isn't a one-time build with zero upkeep — prompts get refined, integrations need occasional fixes when a connected tool changes its API, and genuinely new capabilities get added over time. See what it actually costs to maintain a real AI workflow for a concrete breakdown — build time, review overhead, and hosting, compared against a traditional CMS/ticketing stack.

What actually moves the price

Three things, in order of impact: how many channels it needs to work on (website chat is cheapest, voice is the most expensive to get right), how many external tools it connects to (a CRM lookup or a RAG-grounded knowledge base both add real integration work, not just prompt-writing), and whether it needs write access with guardrails (an agent that only reads and answers is simpler than one that updates records with a human-approval step, like the pattern in the back-office automation use case).

How this relates to the flat-price packages

The numbers in the table above are pure engineering time — hours × $50/hr for the agent's logic and integrations, the same math the free calculator runs — with no design work, project management, or post-launch support folded in. The MVP Build ($3,900) and Product Build ($11,900) packages are a different, more inclusive option: a flat number that also bundles wireframes and visual design, a working preview from week one, and a support window after launch — and covers any platform (web, mobile, or an agent), not agent engineering time specifically. Neither number is more "correct" than the other; they're pricing two different things. If a fixed, no-surprises number matters more than shaving down to the calculator's build-hours minimum, a flat package is the simpler route. If the scope is unusual or agent-specific enough that a generic package doesn't fit well, the calculator (or a real conversation) gives a tighter number.

Where to go next

Run the calculator with your actual channels and integrations for a specific number, or use the ROI calculator if the real question is payback time, not just build cost. If the budget is fixed and the question is what fits in it, the MVP scope calculator works backwards from a number instead of forwards from a feature list. For a phase-by-phase breakdown of the weeks in the table above, see the project timeline estimator. For the broader picture of what a build actually includes — evals, audit logging, cost monitoring, guardrails — see AI agent development. Or skip straight to a real conversation about your specific case.