Question 1

What is an LLM leaderboard?

Accepted Answer

An LLM leaderboard ranks large language models against a fixed set of benchmarks so their results can be read side by side. The ranking is only as good as the evidence under it: a score with no published source, or a model tested on three benchmarks sitting above one tested on thirty, tells you less than it appears to.

Question 2

How are these AI rankings calculated?

Accepted Answer

Each model is scored per category from its published benchmark results, then the categories are weighted into one figure: agentic 22%, coding 20%, reasoning 17%, multimodal 12%, knowledge 12%, multilingual 7%, instruction following 5%, maths 5%. WriteWorks holds scores for 0 of 0 tracked models across 0 benchmarks. A category with no published evidence is left out and the rest re-weighted, never counted as zero.

Question 3

Which LLM is best?

Accepted Answer

There is no single best model, and any leaderboard implying otherwise is answering a narrower question than it looks. The top of a general ranking is the model with the strongest average across weighted categories; the right model for a given job is usually the one leading the one category that job depends on, at a price the workload can carry.

Question 4

How often are the rankings and benchmarks updated?

Accepted Answer

Model catalogues are re-read every three hours and provider pricing pages every six, so releases and price moves appear the same day. Benchmark scores are added as results are published, and every row on a model page carries the date and a link to where it was published.

Question 5

What is the difference between LLM benchmarks and an LLM leaderboard?

Accepted Answer

A benchmark is one test with one score, such as SWE-bench for resolving real code issues. A leaderboard is the ranking that falls out of combining several and deciding what each is worth. The benchmarks are the evidence; the leaderboard is an argument about how to weigh it, which is why this one publishes its weights.

Question 6

Are these AI benchmarks independently verified?

Accepted Answer

Each score is labelled. Verified means the score was read on the benchmark's own published results. Provider claim means the only source is the company that made the model. Both are shown, because dropping everything that cannot be verified independently would quietly favour the labs that publish least.

Pricing updates

Are these models citing you, or your competitors?

LLM leaderboard and AI model rankings, with the evidence attached

What the tracker holds

Pricing updates

Are these models citing you, or your competitors?