Skip to main content
PromptQuorumPromptQuorum
Home/Local LLMs/Local LLM Cost Calculator: Build vs Rent 2026
Cost & Comparisons

Local LLM Cost Calculator: Build vs Rent 2026

··By Hans Kuepper · Founder of PromptQuorum, multi-model AI dispatch tool · PromptQuorum
Read in:
🇺🇸en🇩🇪de🇫🇷fr🇯🇵ja🇨🇳zh

For teams running LLMs more than 4 hours per day, building a local RTX 4090 workstation breaks even with cloud GPU rental in 12–18 months and is cheaper long-term. For under 50 hours/month, cloud rental wins on flexibility and no upfront cost.

Key Takeaways

  • Cloud GPU costs $0.35–2.50/hr depending on GPU tier and provider
  • Local RTX 4090 workstation totals ~$3,200 upfront (GPU + system)
  • Break-even: 1,800 hours cumulative use at $0.50 avg cloud rate = local wins
  • Mac Mini M4 Pro 48GB: $2,000 upfront, breaks even at ~1,200 cloud hours
  • Electricity adds $0.03–0.08/hr to local operating costs
  • Cloud wins for spiky, occasional, or experimental workloads
  • Local wins for sustained daily inference, privacy-sensitive use, or fine-tuning

What is the break-even point for a local LLM workstation vs cloud GPU?

An RTX 4090 workstation ($3,200 total) breaks even against $0.50/hr cloud GPU at approximately 6,400 cumulative hours. At 8 hours/day, that is 2.2 years. At 16 hours/day (shared team server), it is 13 months.

Does electricity cost significantly affect the comparison?

In the US (12¢/kWh), electricity adds ~$0.05/hr to local costs — minor. In Germany (38¢/kWh), it adds ~$0.16/hr, which meaningfully narrows the local advantage. The Mac Mini M4 Pro's 45W draw keeps electricity costs low even in high-rate countries.

Is RunPod or Vast.ai cheaper for occasional fine-tuning?

Vast.ai is typically 10–20% cheaper than RunPod at spot pricing, but RunPod has better uptime and a managed pods feature. For occasional use (< 20 hours/month), Vast.ai spot pricing is the lowest-cost option. For reliability-sensitive workloads, RunPod Community Cloud is the better choice.

What about depreciation on local hardware?

GPU hardware depreciates 20–40% over 3 years. An RTX 4090 bought at $1,700 may resell for $900–1,200 in 2028. Factoring this in, the true cost of local hardware after 3 years is (purchase price − resale value + electricity). For the RTX 4090 workstation: ($3,200 − $1,200 + $180 electricity at 8hr/day US) = ~$2,180 over 3 years vs. cloud at $0.50/hr × 8hr/day × 365 × 3 = $4,380.

How much does it cost to run a 70B model locally?

A 70B Q4_K_M model requires 48GB VRAM/unified memory. Hardware options: dual RTX 3090 ($2,000), Mac Mini M4 Pro 48GB ($2,000), or Mac Studio M4 Max 128GB ($3,000). Electricity at 8hr/day US rate adds $45–90/year. Running the same model on RunPod A40 spot at 8hr/day costs ~$1,300/year.

A Note on Third-Party Facts

This article references third-party AI models, benchmarks, prices, and licenses. The AI landscape changes rapidly. Benchmark scores, license terms, model names, and API prices can shift between the time of writing and the time you read this. Before making deployment or compliance decisions based on this article, verify current figures on each provider's official source: Hugging Face model cards for licenses and benchmarks, provider websites for API pricing, and EUR-Lex for current GDPR and EU AI Act text. This article reflects publicly available information as of May 2026.

Compare your local LLM against 25+ cloud models simultaneously with PromptQuorum.

Join the PromptQuorum Waitlist →

← Back to Local LLMs

Local LLM Cost Calculator: Build vs Rent 2026 | PromptQuorum