Discussion

• @arena @arena on x

  Grok 4.3 by @xAI is now live in the Arena, landing across multiple leaderboards. At $1.25 / $2.50 price per 1M token, Grok 4.3 comes with more efficiency over Grok 4.20 (37.5% less for input, and 58.3% less for output). Here's how it ranks by modality: - Code Arena, frontend [ima…

• @artificialanlys @artificialanlys on x

  xAI has launched Grok 4.3, achieving 53 on the Artificial Analysis Intelligence Index with improved agentic performance, ~40% lower input price, and ~60% lower output price than Grok 4.20 The release of Grok 4.3 places @xAI just above Muse Spark and Claude Sonnet 4.6 on the [imag…

• @adityagupta Aditya Gupta on x

  great work by the team. 4.3 pushes the pareto (+4pts on AA and +13 for the same size as 4.20 ~0.5T) w/ knowledge work and coding improvements. ps: larger models being assembled in model factory.

• @kimmonismus @kimmonismus on x

  Grok 4.3 is a very good model especially when you think its only 500m parameters! xAI's Grok 4.3 scores 53 on the Artificial Analysis Intelligence Index with ~40% lower input and ~60% lower output pricing vs Grok 4.20, making it one of the most cost-efficient models at its [image…

• @jshobrook Jonathan Shobrook on x

  We beat Sonnet 4.6 with a 500B model. Bigger runs are on the way.

• @andonlabs @andonlabs on x

  Grok 4.3 is a big regression from Grok 4.20 on Vending-Bench 2. It seems to have narcolepsy problems, preferring to sleep for multiple days in a row over taking actions. [image]

• @veggie_eric Eric Jiang on x

  When training Grok 4.3, we spoke directly with devs and businesses to understand what they actually needed: a model that's fast, affordable, and great at tool calling. The result is a daily driver that doesn't just look good on random benchmarks, but is actually useful in the [im…

• @eliebakouch Elie on x

  genuine question, why have a 500B total parameter flagship model when you have millions of H100s equivalent? i would expect them to train a bigger one first (once you have a stable training recipe ofc) and distill from it. a 500B training run is a matter of weeks at this scale

• @artificialanlys @artificialanlys on x

  This release shows increased cost efficiency to run the Artificial Analysis Intelligence Index, with Grok 4.3 sitting comfortably on the Pareto frontier for intelligence versus cost Driven by 37.5% lower input token prices and 58.3% lower output token prices, it costs $395 to [im…