How we rank free AI models
FreeLLMRank shows the best AI models you can use without paying, ranked by real human votes, with what you need to run them.
The ranking
Scores come from Arena's public leaderboard dataset. On Arena, people send a prompt, get two anonymous answers and vote for the better one; the votes become a score with the Bradley-Terry model. We keep only the models you can use for free: open weights, or a free API today. Rank numbers (“#11 of 416”) count all models, paid ones included.
Sizes and memory
Parameter counts come from the official Hugging Face repositories (safetensors metadata). Context memory comes from each model's configuration file: layers, attention heads, sliding windows and compressed attention. For repositories that require accepting a license, we read the same configuration from Unsloth's public copy.
Speed
Speed is an estimate: memory bandwidth × 70% ÷ the data read for each token (active weights plus context). It matches real llama.cpp results within about ±30%. Graphics card specifications come from the manufacturers' data sheets.
Small models without votes
Arena votes mostly on large models. We also list popular small models (0.5 to 16 billion parameters) from the labs' official Hugging Face pages, marked “No Arena votes”. They are ordered by downloads or size, never presented as ranked by quality.
Data sources
- Arena leaderboard dataset, CC BY 4.0, by Arena Intelligence. We filter it and add sizes; we are not affiliated with Arena.
- OpenRouter model list, to find models with a free API.
- Hugging Face Hub API, for parameter counts, configurations and downloads.
Updates
Everything updates every night: rankings, free APIs, sizes, model pages and the weekly report on the blog. Last update: 18 Oct 2026. The code is open source.