Price team plans per developer, multiply by headcount, and compare them with shared hardware running open models. Every number cites a source, and the caveats stay next to the answer.
Pick a seat count and workload mix. The three routes recompute as you change the inputs.
Team inputs
Set the seats and how the team works.
The three routes recompute as you change these inputs.
Three team routes
The lowest bill at this headcount.
Monthly totals scale with 20 seats at regular volume per developer. The lowest mid-range total gets the accent treatment.
Seat plans
Team seat plan
Standard seats include Opus 5.5, Sonnet 5.5, Haiku 4.5, and Claude Code.
Monthly total
$400
Per seat
$20
What this is
Claude Team Standard is the lowest public team rate that covers 20 seats.
The estimate uses the published per-seat rate for every developer.
The $20 monthly equivalent requires annual billing ($25 month to month), for teams of 2 to 150. Premium seats cost $100 ($125 month to month) for five times Standard usage. Self-serve Claude Enterprise costs $20 per seat plus usage at API rates.
Negotiated enterprise pricing usually lands below public list rates at larger seat counts.
Cheapest
Metered API
Monthly total
$280–$460
Per seat
$14–$23
What this is
Metered APIs route each selected workload through the lowest-cost covering models in the catalog.
The estimate applies 100 million tokens to every developer, so each seat adds the same usage range.
Reality check
The range assumes 70 percent input tokens and 30 percent output tokens. Prompt caching discounts are excluded.
On prem
On-prem serving
Monthly total
$556
Per seat
$28
Capex
~$20,000
Machines4 × DGX Spark128 GB unified · 273 GB/s
Prioritizes model capacity and privacy over raw token speed. The $4,699 Founders Edition is out of stock, so this uses the cheapest available unit.
What this is
DGX Spark capacity appliance is the cheapest catalog option at the top seat capacity that covers the selected workloads locally.
One box serves about 6 developers under an interactive coding load. Hardware cost is spread over 36 months.
Reality check
Serving and operations labor are excluded from the math. Electricity is also excluded.
Capacity assumptions need validation against your real workloads.