{"adoption": {"forks": 140, "observed_at": "2026-08-28T04:08:41.819019+00:00", "stars": 4315}, "canonical_url": "https://ross.abutalabs.com/products/llm-numbers", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Numbers every LLM developer should know", "domain": ["large-language-models", "tutorials", "developer-tools"], "enriched": true, "function": ["llm-inference", "prompt-engineering", "developer-tools"], "health_score": 20, "homepage": null, "language": null, "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["ray-project/llm-numbers"], "name": "ray-project/llm-numbers", "platform": ["cross-platform"], "pushed_at": "2024-01-16T10:15:43+00:00", "repo": "ray-project/llm-numbers", "stars": 4315, "tags": ["reference-guide", "llm-cost-optimization", "back-of-envelope-calculations", "token-pricing", "documentation"], "topics": [], "urls": [], "use_cases": ["estimate token counts from word counts for LLM billing", "compare costs between GPT-4 and GPT-3.5 Turbo for a task", "decide when to use embeddings lookup versus text generation", "learn how prompt phrasing like 'be concise' affects API costs", "do quick back-of-the-envelope math for LLM application budgets", "understand how context window sizes relate to document length"], "what_it_is": "A reference document listing key numbers and rules of thumb that LLM developers should know for back-of-the-envelope calculations, inspired by Jeff Dean's 'Numbers every Engineer should know'. It covers tokenization ratios, prompt cost savings, and price comparisons between LLM models and services.", "when_to_avoid": ["you need up-to-date pricing since the document was last updated in 2023", "you want runnable code or tooling rather than a reference document", "you need vendor-neutral numbers beyond OpenAI, Anthropic, and Cohere examples", "you require rigorous benchmarks rather than rules of thumb"], "when_to_choose": ["you are new to LLM development and need intuition for token-based pricing", "you want quick reference numbers for estimating LLM application costs", "you are deciding between model tiers for one-off versus in-cycle tasks", "you need a shared vocabulary of LLM cost facts for your team"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/llm-numbers", "repo": "ray-project/llm-numbers", "role": "main", "score": 29}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:08:41.819019+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:21:46.630859+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "361ca1c852d0ca94c03677471ae16e9f723bd2341d8d8eca1fde38cc36504b6c", "fetched_at": "2026-08-28T04:08:41.819019+00:00", "kind": "readme", "missing": false, "url": "https://github.com/ray-project/llm-numbers"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 86, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1204, "days_push": 960, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 29, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}