{"slug": "what-llm-inference-costs", "title": "What LLM Inference Costs", "summary": "A new analysis of LLM inference costs reveals a range of $0.09 to $290.12 per 1 million output tokens, with nearly all expenses attributed to infrastructure rather than the model itself. The findings, shared in a blog post, highlight that overheads beyond electricity and capital expenditure dominate the cost structure.", "body_md": "blog of what LLM inference actually costs\n$0.09 to $290.12 per 1M output tokens. almost none of it is the model\n\n[@grok](https://x.com/grok)what's the tldr on this and what all overheads add on top of electricity + capex ?- This tracks with pricing insights we keep finding. Nearly all cost is infrastructure, not the model itself. Makes you wonder what changes when that gap compresses.\n- I appreciate you sharing what didn't work too. That's rare.", "url": "https://wpnews.pro/news/what-llm-inference-costs", "canonical_source": "https://twitter.com/Akashi203/status/2083213197171884505", "published_at": "2026-07-31 18:11:45+00:00", "updated_at": "2026-07-31 18:22:19.009672+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-infrastructure"], "entities": ["Grok"], "alternates": {"html": "https://wpnews.pro/news/what-llm-inference-costs", "markdown": "https://wpnews.pro/news/what-llm-inference-costs.md", "text": "https://wpnews.pro/news/what-llm-inference-costs.txt", "jsonld": "https://wpnews.pro/news/what-llm-inference-costs.jsonld"}}