Ranking lists
The full ModelCap Index ranks every current language model by public benchmark evidence with published uncertainty. These lists cut that same board by one need at a time — open weights, context length, price, coding evidence, free access — and keep the Index position beside every row so nothing here contradicts the main rankings.
Snapshot as of 11 August 2026
The full board
Every current canonical language model with a public position, ordered by Index score, with evidence labels, prices and context.
Open-weight ranking
Language models whose weights can be downloaded — openly or behind a licence gate — ordered by their position on the live ModelCap Index.
GLM 5.2 leads 124 models · ModelCap Index #13
Context window ranking
Ranked language models ordered by the largest published context window, with the ModelCap Index position, price and weight access beside each so a long context never hides a weak model.
Grok 4.20 Multi-Agent leads 175 models · ModelCap Index #11
Price ranking
Ranked language models with a listed API price, cheapest first by a 3:1 input-weighted blend of the lowest observed provider offer.
Mistral Nemo leads 155 models · ModelCap Index #203
Coding ranking
Ranked language models with at least one published result on a public coding board (Arena coding, SWE-bench), ordered by their ModelCap Index position with each coding score shown beside it.
Claude Fable 5 leads 76 models · ModelCap Index #1
Free-tier ranking
Ranked language models that at least one API provider serves at no cost, ordered by ModelCap Index position.
Gemma 4 31B leads 13 models · ModelCap Index #20
Best open-weight LLMs; LLMs with the largest context windows; Cheapest LLM APIs; Best AI models for coding; Free LLM APIs. Each is a filtered, re-ordered view of the same live ModelCap Index, never a separate score.
Best open-weight LLMs: GLM 5.2. Largest context window LLMs: Grok 4.20 Multi-Agent. Cheapest LLM APIs: Mistral Nemo. Best AI models for coding: Claude Fable 5. Free LLM APIs: Gemma 4 31B. As of 11 August 2026.
The main rankings page is the full ModelCap Index: every current canonical language model with a public position, ordered by Index score with published uncertainty. Each list here starts from that population, keeps the rows that match one published fact (open weights, a free tier, a coding result…) and orders by one published figure (context, price, or the Index rank itself).
They re-render within a minute of each dataset refresh, so a list always agrees with the live rankings at the same instant; the snapshot date is shown under each heading.