Let the best model win.
Run any prompt against 2+ AI models at once. Responses are shown blind — no model names, no bias. Vote on the best answer and build your personal AI leaderboard based on real usage.
Find the right model through real-world testing
Benchmark data is theoretical. Your own votes are truth.
Blind Comparison
Model identities are hidden until after you vote. No brand bias, no anchoring — just honest evaluation of which response actually solves your problem best.
Real Usage Data
Your votes are collected from real prompts in real workflows, not synthetic benchmarks. The data reflects which models actually perform best for your specific use cases.
Personal Leaderboard
Every vote builds your personal AI model leaderboard. See at a glance which models win most often for writing, code, research, and more — filtered by your own history.
Community Rankings
Opt in to aggregate your votes with the Vincony community. See how millions of real-world comparisons rank models across categories and use cases.
How it works
Submit your prompt
Enter any prompt and select 2 or more models to race. The same prompt is sent to all selected models simultaneously.
Models race
All models generate their responses in parallel. Responses are displayed side-by-side with model identities hidden behind labels like Model A and Model B.
Vote on the best response (blind)
Read both responses and vote for the one that best answers your prompt. Model identities are revealed after you vote, keeping your judgment unbiased.
What teams use Model Race for
Available on all plans
Model Race is available from Starter ($16.99/mo) and above. Each model in a race costs 1 credit per query — the same as a standard query. Community rankings unlock on Pro ($24.99/mo).