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Did xAI lie about Grok 3’s benchmarks?


Debates over AI benchmarks — and the way they’re reported by means of AI labs — are spilling out into nation view.

This hour, an OpenAI worker accused Elon Musk’s AI corporate, xAI, of publishing deceptive benchmark effects for its untouched AI style, Grok 3. One of the vital co-founders of xAI, Igor Babushkin, insisted that the corporate was once in the correct.

The reality lies someplace in between.

In a post on xAI’s blog, the corporate printed a graph appearing Grok 3’s efficiency on AIME 2025, a choice of difficult math questions from a up to date invitational arithmetic examination. Some mavens have questioned AIME’s validity as an AI benchmark. However, AIME 2025 and used variations of the take a look at are frequently impaired to probe a style’s math talent.

xAI’s graph confirmed two variants of Grok 3, Grok 3 Reasoning Beta and Grok 3 tiny Reasoning, beating OpenAI’s best-performing to be had style, o3-mini-high, on AIME 2025. However OpenAI workers on X had been fast to show that xAI’s graph didn’t come with o3-mini-high’s AIME 2025 rating at “cons@64.”

What’s cons@64, you could ask? Neatly, it’s decrease for “consensus@64,” and it mainly provides a style 64 tries to respond to each and every condition in a benchmark and takes the solutions generated maximum continuously as the overall solutions. As you’ll believe, cons@64 has a tendency to spice up fashions’ benchmark ratings relatively just a little, and omitting it from a graph would possibly form it seem as although one style surpasses every other when actually, that’s isn’t the case.

Grok 3 Reasoning Beta and Grok 3 tiny Reasoning’s ratings for AIME 2025 at “@1” — which means the primary rating the fashions were given at the benchmark — fall underneath o3-mini-high’s rating. Grok 3 Reasoning Beta additionally trails ever-so-slightly at the back of OpenAI’s o1 model poised to “medium” computing. But xAI is advertising Grok 3 because the “world’s smartest AI.”

Babushkin argued on X that OpenAI has printed in a similar fashion deceptive benchmark charts within the life — albeit charts evaluating the efficiency of its personal fashions. A extra impartial celebration within the debate make a extra “accurate” graph appearing just about each and every style’s efficiency at cons@64:

However as AI researcher Nathan Lambert pointed out in a post, most likely probably the most impressive metric extra a thriller: the computational (and fiscal) value it took for each and every style to succeed in its preferrred rating. That simply is going to turn how minute maximum AI benchmarks keep in touch about fashions’ obstacles — and their strengths.



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