LLM Tier List
Crowdsourced rankings of every AI model, vote and build your own tiers
About LLM Tier List
LLM Tier List is a crowd-voted ranking of AI models: browse the leaderboard, cast votes for favorites and least favorites, write reviews, and build shareable tier lists of your own. The current leaderboard already shows real engagement texture, with Claude, GPT variants, Kimi, Qwen, Grok, and DeepSeek models ranked by community votes rather than benchmark scores. The site is explicit about not being affiliated with any AI lab, which matters for a ranking property since vendor-run leaderboards carry obvious bias incentives. What makes this worth watching rather than dismissing as a meme format is that tier lists are how normal people communicate model opinions, far more than MMLU percentages, and aggregated casual opinion is a genuinely different signal from expert evals. The model naming on the leaderboard includes regional Chinese models alongside Western ones, so the voting base looks international. Fun enough to browse, useful as a temperature check on public sentiment between benchmark releases.
At a glance
What it is
Crowdsourced rankings of every AI model, vote and build your own tiers
Pricing
Free
Primary category
Building Products
Source code
Closed source / hosted
What to consider before using LLM Tier List
LLM Tier List is one of many tools in its category. Before committing to it, weigh a few practical points that tend to decide whether a tool actually fits your work:
- Match the tool to your real task, not to its feature count. A tool that excels at your specific job beats one with a longer checklist you will never use.
- Check how it fits your existing workflow — integrations, export formats, and whether the output needs heavy manual cleanup.
- Read the license and pricing terms for commercial use, especially if you plan to publish or resell what the tool produces.
We describe LLM Tier List and its alternatives honestly so you can compare on substance. Browse the similar tools below to see how it stacks up against other options in the same category.
