BLK · TCO CALCULATOR

What does it actually cost?

Upfront hardware + electricity + amortization vs cloud API equivalent. Every assumption visible. Every formula sourced. No hidden multipliers — the breakdown is the source of truth.

INPUTS

Price figures are our planning estimates (launch MSRP, or a used-market estimate for older cards), not live prices. Check the current price before you buy.

Default $0.30/M is the conservative 8B-class blended cost across Together / Groq / Anthropic / OpenAI in May 2026.

§ Companion power (optional — desktop rigs)

Typical reference: CPU 65W (idle/inference) – 150W (Threadripper under load) · 27" 4K monitor ~30W · dual-monitor ~60W · audio interface + fans + lighting ~15-30W. Companion components run continuously during active hours (no utilization multiplier applied).

Reset to defaults
HEADLINE · 3-YEAR TCO
Total ownership
$2,088
$1,899 hw (est.) + $189 elec
Cost per million tokens
$1.824
at 121.0 tok/s, 60% util
Cloud equivalent cost
$344
at $0.3/M tokens × 1.1B tokens
PLAIN-ENGLISH VERDICT

At your usage pattern, running NVIDIA GeForce RTX 4090 locally costs $1,745 more than the cloud API equivalent over 3 years. Cloud wins unless privacy / latency / offline matter to you.

Break-even tokens/month: 193.4M — below this monthly volume, cloud is cheaper; above, local pulls ahead.

ComponentAssumptionValue
Upfront hardwareour price estimate — a planning estimate, not a live price$1,899
Average load450W TDP × 60% utilization270 W
kWh / day270W × 4 h/day1.08 kWh
Total kWh (3 yrs)1.08 × 365.25 × 31183 kWh
Electricity cost1183 kWh × $0.16/kWh$189
Representative tok/sextrapolated from bandwidth (8B Q4 class)121.0 tok/s
Tokens produced121.0 tok/s × 4h × 60% × 3yr1.1B
Rent instead
Rent the GPU, not the API

A third option between an API and buying hardware: run open-weight models yourself on a GPU you rent by the hour, and pay only while the instance is up. Privacy depends on the host you pick, so read its terms before you send anything sensitive.

Referral links: RunLocalAI may earn a commission or account credits if you sign up and rent, at no extra cost to you. Hourly rates and which GPUs are listed change all the time, so check the provider's page before you start. How we make money.

ASSUMPTIONS · LIMITS
What we model
  • Upfront hardware cost from our planning estimate (our own price estimate where we have one, otherwise launch MSRP) — not a live price.
  • Electricity over the full ownership horizon at your local rate.
  • Token throughput from measured or bandwidth-extrapolated tok/s.
  • Cloud equivalent cost at a representative $/M-tokens rate.
What we don't model (yet)
  • Cooling/AC overhead (typically +10–30% on top of TDP).
  • Resale value at end of amortization horizon.
  • Income-tax implications (deductible business expense).
  • Privacy / latency / offline benefits — those are non-monetary but real reasons local can be the right answer even when cloud is cheaper.

Full math: /guides/methodology · Want measured tok/s on this rig? Submit a benchmark.