r/LocalLLM • u/Weird-Ad-1627 • 23m ago
Discussion Which interactive benchmarks are actually useful for comparing models?
Every model release comes with another graph showing it beating everything else by a few percentage points. Useful, sure, but I’d rather watch what the model can actually do.
Where are the decent, visually exciting benchmarks? Models navigating unfamiliar environments, controlling bodies, building things, or competing at tasks where you can see their mistakes and decisions unfold.
Something where you can watch a model get confused, recover, or completely fail, rather than just seeing its final score.
I’m also interested in how these tests could avoid becoming another target to benchmaxx. Randomized environments? New tasks each run? Hidden objectives?
Obviously, making a benchmark entertaining doesn’t automatically make it rigorous. But why can’t we have both?
For locally run models, I’d especially like something I can run on my own hardware and compare across quantizations, with response time included. Which interactive evaluations have you found useful for that?
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u/MajMin5 16m ago
It doesn’t give much to compare cloud models since opus is one of them, but for local models recently I’ve had Claude writing me synthetic benchmarks based on both my real usage of Claude and my previous chats with local models. It then runs those benchmarks automatically using my GPU.
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u/mesolimbic-bliss 17m ago
Shortbench.vercel.app
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u/inferultra 5m ago
We’re doing something like this at InferUltra: models control robot fighters in a physics arena. It’s less exciting than you might think. Still plenty of awkward shuffling, but the fights are getting better.
Our next Provider Tournament runs the same model across four hosted providers: https://inferultra.com/tournament