Sunk Cost review
Calculator that estimates the break-even timeline for locally-hosted LLM infrastructure investment.
WireTensors rating
Time saved: Saves approximately 4–6 hours of spreadsheet modelling and vendor quote collection per infrastructure evaluation cycle..
Key facts
| Tool | Sunk Cost |
|---|---|
| Category | Productivity |
| Pricing | Free |
| Free tier | Yes |
| WireTensors rating | 3.8 / 5 |
| Best for | ML engineers and DevOps teams evaluating whether to host language models on company infrastructure versus using cloud APIs. |
| Avoid if | You need detailed TCO analysis with real-time electricity pricing or multi-year financial forecasting; this is a quick estimation tool only. |
| Affiliate commission | Pending affiliate program review |
| Cookie window | N/A |
| Last verified | 2026-09-15 |
Overview
Sunk Cost is a free web-based calculator that answers a specific infrastructure question: how long before a locally-hosted large language model cluster becomes cheaper to operate than paying cloud API fees per token. Users input their hardware capital cost, estimated usage (tokens per month), and local inference server efficiency to generate a break-even timeline. The tool targets organisations considering on-premise deployment of models like Llama or Mistral, where upfront GPU investment trades against ongoing cloud provider usage fees. Sunk Cost performs basic arithmetic on the relationship between fixed costs (hardware depreciation) and variable costs (electricity, cooling) versus variable cloud pricing. It does not integrate live pricing feeds or account for infrastructure taxation, maintenance labour, or opportunity cost of capital. The tool was released as a Show HN entry in September 2026 and gained modest community engagement (44 points). It fills a gap for quick feasibility screening before more rigorous financial analysis. Competitors in the infrastructure ROI space include vendor-specific TCO calculators from Nvidia or cloud providers, but those typically favour their own offerings. Sunk Cost remains neutral by design. Its primary limitation is oversimplification: real-world break-even analysis requires accounting for hardware lifespan, electricity tariff changes, and team labour cost. For organisations with stable, predictable token volume and available capital, the tool is sufficiently accurate for early-stage decisions.
Pros
- Solves a genuine pain point for on-premise LLM deployment decisions by quantifying ROI
- Transparent methodology reduces guesswork around infrastructure spending
- Lightweight tool with no account or data submission required
Cons
- Limited scope—does not account for electricity cost volatility or hardware depreciation schedules
- Assumes uniform usage patterns; cannot model seasonal or workload spikes
- No comparative analysis against cloud API costs in real time
Who it is for
- Best for: ML engineers and DevOps teams evaluating whether to host language models on company infrastructure versus using cloud APIs..
- Avoid if: You need detailed TCO analysis with real-time electricity pricing or multi-year financial forecasting; this is a quick estimation tool only..
Who this is for
Infrastructure architects, ML operations managers, and enterprise technology decision-makers who are evaluating capital expenditure on GPU clusters or dedicated inference servers. Teams already committed to local LLM deployment will find this especially useful for justifying costs to finance or executive stakeholders.
Who should skip this
Small teams without infrastructure budgets, organisations already locked into cloud providers, or those without technical background in LLM deployment costs. If your primary concern is model capability rather than infrastructure economics, this tool is premature for your use case.
Verdict
Sunk Cost is a straightforward, free tool for a narrow but genuine decision: should we buy hardware or stay with cloud APIs? It removes arithmetic burden from the evaluation phase without pretending to be comprehensive financial software. Best suited to technical teams already seriously considering local LLM deployment; skip it if infrastructure cost is not your primary constraint.
Sunk Cost FAQ
What is Sunk Cost? +
Sunk Cost is a free web-based calculator that answers a specific infrastructure question: how long before a locally-hosted large language model cluster becomes cheaper to operate than paying cloud API fees per token. Users input their hardware capital cost, estimated usage (tokens per month), and local inference server efficiency to generate a break-even timeline. The tool targets organisations considering on-premise deployment of models like Llama or Mistral, where upfront GPU investment trades against ongoing cloud provider usage fees. Sunk Cost performs basic arithmetic on the relationship between fixed costs (hardware depreciation) and variable costs (electricity, cooling) versus variable cloud pricing. It does not integrate live pricing feeds or account for infrastructure taxation, maintenance labour, or opportunity cost of capital. The tool was released as a Show HN entry in September 2026 and gained modest community engagement (44 points). It fills a gap for quick feasibility screening before more rigorous financial analysis. Competitors in the infrastructure ROI space include vendor-specific TCO calculators from Nvidia or cloud providers, but those typically favour their own offerings. Sunk Cost remains neutral by design. Its primary limitation is oversimplification: real-world break-even analysis requires accounting for hardware lifespan, electricity tariff changes, and team labour cost. For organisations with stable, predictable token volume and available capital, the tool is sufficiently accurate for early-stage decisions.
How much does Sunk Cost cost? +
Sunk Cost pricing: Free. Always confirm current pricing on the official site, as plans change.
Does Sunk Cost have a free tier? +
Yes. Sunk Cost offers a free plan or free credits you can use to evaluate it.
What is Sunk Cost best for? +
ML engineers and DevOps teams evaluating whether to host language models on company infrastructure versus using cloud APIs..
When should you avoid Sunk Cost? +
Avoid Sunk Cost if: You need detailed TCO analysis with real-time electricity pricing or multi-year financial forecasting; this is a quick estimation tool only..
What are the main pros of Sunk Cost? +
Solves a genuine pain point for on-premise LLM deployment decisions by quantifying ROI; Transparent methodology reduces guesswork around infrastructure spending; Lightweight tool with no account or data submission required.
What are the main cons of Sunk Cost? +
Limited scope—does not account for electricity cost volatility or hardware depreciation schedules; Assumes uniform usage patterns; cannot model seasonal or workload spikes; No comparative analysis against cloud API costs in real time.
Does Sunk Cost have an affiliate program? +
No public affiliate program is listed for Sunk Cost at the time of review.
How is Sunk Cost rated? +
WireTensors rates Sunk Cost 3.8 out of 5, based on capability, value, and fit for its intended use case.
What category does Sunk Cost fall under? +
Sunk Cost is categorised under productivity on WireTensors.
When was this Sunk Cost review last verified? +
This review was last verified on 2026-09-15 against the vendor's official site.
Reviewed by Arjun Mehta
AI tools analyst; 8+ years reviewing SaaS and developer tooling
Last verified:
Sources
- Sunk Cost — official website — verified