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ModelCap

Ranking lists

LLM rankings by what you need

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, agent evidence, free access — and keep the Index position beside every row so nothing here contradicts the main rankings.

Snapshot as of 1 October 2026

Lists

LLM rankings: common questions

Which LLM ranking lists does ModelCap publish?

Best open-weight LLMs; LLMs with the largest context windows; Cheapest LLM APIs; Best AI models for coding; Best AI models for agents; Free LLM APIs. Each is a filtered, re-ordered view of the same live ModelCap Index, never a separate score.

Which model leads each list right now?

Best open-weight LLMs: MiMo-V2.6-Pro. Largest context window LLMs: Grok 4.20 Multi-Agent. Cheapest LLM APIs: Ling 3.0 Flash VL. Best AI models for coding: Kimi K3. Best AI models for agents: GPT-5.5. Free LLM APIs: Gemma 4 31B. As of 1 October 2026.

How do these lists relate to the main ModelCap rankings?

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, admitted coding or agent results…) and orders by one published figure (context, price, a component of the Index, or the Index rank itself).

How often are the ranking lists updated?

Each list uses a published ModelCap snapshot. Publication and page updates happen separately; the snapshot date is shown under each heading.

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