UK · pounds · no account
Is it cheaper to run the model, or rent the API?
For people who use Ollama, LM Studio or llama.cpp, and for small firms deciding whether to buy a GPU or keep paying the API. The sums are in pounds, and every number has a source or is labelled an estimate.
Not enough yet
The API comes to £0.14 a month for this job. There is no speed for running it locally, so the electricity and the break-even are left blank.
Memory. Meta: Llama 3.1 8B Instruct against GeForce RTX 5080's 16 GB, estimated from the Hub's published weight size across the common quants: BF16 16.1 GB no · Q8_0 8.5 GB yes · Q6_K 6.6 GB yes · Q5_K_M 5.7 GB yes · Q4_K_M 4.9 GB yes · IQ4_XS 4.3 GB yes · Q3_K_M 3.9 GB yes · Q2_K 3 GB yes. At Q8_0, about 8.5 GB, 7.5 GB of the card's 16 GB is left for the context cache. Rule of thumb, not a measured file size.
- API this month
- £0.14
- Electricity this month
- Blank
- GPU purchase
- £1,499.99
- Break-even
- Needs a speed
- API cost is input tokens and output tokens, priced per million, times jobs per month. No caching, batch discount, or free tier.
- Pound figures use the stored exchange rate. They are not a quote from the company that trained the model.
- No tokens-per-second figure, so the electricity line is blank. Type one in if you have measured it.
- API price: £0.0149 in and £0.0298 out per million tokens, from $0.0200 and $0.0400 at 0.74501 dollars to the pound on 2026-11-10. OpenRouter feed 2026-11-11.
- GeForce RTX 5080: 16 GB GDDR7. Total graphics power: 360 W. Specs read 2026-11-11.
- No sourced speed for this pair, and none was typed in.
- Upper estimate, based on the official total graphics power of 360 W.
OpenRouter prices · Exchange rate · GPU spec · Ofgem unit rate