Blind LLM Arena

A fair, unbiased way to discover which AI models truly deliver the best results — through blind head-to-head voting.

How It Works

1Curated Prompts

We use a carefully selected library of prompts across five categories: Coding, Writing, Polish, Reasoning, and Support. No user-submitted prompts means consistent, high-quality comparisons.

2Pre-generated Responses

All model responses are generated in advance. This ensures fair comparison conditions and allows us to test many models cost-effectively.

3Blind Voting

You see two anonymous answers — "Answer A" and "Answer B". No model names, no brand bias. Just pure quality comparison. The reveal comes after you vote.

4Community Rankings

Every vote shapes the leaderboard. Win rates are calculated from real human preferences, not synthetic benchmarks. One vote per battle keeps it fair.

Why This Matters

Traditional AI benchmarks often fail to capture what matters most: does the output actually help you?

Academic benchmarks test narrow capabilities. Marketing claims are biased. But when real people compare outputs blind, we get practical insights into which models genuinely produce valuable results.

This isn't about finding the "best" model — it's about helping you find the right model for your needs, based on transparent, community-driven evaluation.

Understanding the Scores

Win Rate

Percentage of battles won. Ties count as 0.5 wins for each model.

Total Comparisons

More comparisons = more reliable scores. Trust models with higher totals.

Category Badges

Shows which categories a model excels in. Great for finding specialists.

Note: Rankings reflect community preferences on our specific prompts. Different prompts or criteria might yield different results.

Created By

Paweł Józefiak

E-commerce manager & tech enthusiast. Building tools that turn digital chaos into opportunities.

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