Comment by mridulmalpani
15 days ago
Gemini 4 Argon is a new leader in Pareto-frontier. Looks like, Google is back in the race.
https://arena.ai/leaderboard/agent/chat/pareto
For almost same intelligence (+15.56%, +15.18%), drastic difference in cost/task ($3.51 vs $0.41)
Why do these benchmarks often show models running on Max i.e. Opus 5.5 (max) is on the frontier? I would think it is never really economical to run max
By definition, the model with the best performance will be on the pareto frontier (regardless of cost).
No. Pareto frontier is cost performance tradeoff.
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Check out slopalytics. You can draw a pareto line there with max reasoning excluded.
> Gemini 4 Argon is a new leader in Pareto-frontier. Looks like, Google is back in the race.
For chat, yes. But switch to code on the same page, and the picture changes. OpenAI takes the lead.
Further, this benchmark looks to have done too poor a job of canvasing the model/reasoning level space to claim to represent the pareto frontier. Only running 6.1 sol and opus 5.5 on max seems absurd given that their other reasoning levels represent almost the entirety of the pareto frontier above luna for coding.
Muse reminded me we should have a time based chart as well - this year I hope we will begin to see time to completion stats at various intelligence tiers. The waiting makes a lot of things more tiring.
Every release I see a new benchmark with a new frontier. These graphs are just meaningless now
In particular, where cost is the x axis, a well-funded company with a good but not best model can discount their new model until it reaches the frontier. In some sense this is as much a statement about the efficiency of markets in the presence of public measurement-based comparison and public list pricing as it is about research pace.
While true, Google genuinely has invested the most in computer and energy efficiency for LLMs.
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you can give it a meaning if you see the relavivity between models. no need to disregard the stat at all.