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Models2026-09-04 · source-backed
VentureBeat found Meta's strongest published benchmarks come from a max reasoning configuration still in safety testing and not broadly available. The generally released configuration scores lower, so the frontier-performance claim doesn't describe what you can call today. Second lab this week publishing numbers from a tier gated behind vetting rather than the shipping default. VentureBeat
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Meta formally pivoted from open-weight Llama to fully proprietary Muse Spark, its first model from the newly formed Meta Superintelligence Labs. No downloadable weights. No self-hosting. Cloud-only private API preview to select partners. More locked down than OpenAI or Anthrop...
Xiaomi released MiMo-V2.5-Pro, a 1.02 trillion parameter mixture-of-experts model (42B active) with 1M token context, fully MIT licensed. In benchmarks, it achieves 63.8% success on agentic tasks using 40-60% fewer tokens than Claude Opus 4.6 or GPT-5.4 for comparable results....
$1.25 input / $4.25 output per million tokens for the standard tier. $0.10 / $0.20 for the Contributor tier, where Meta trains on your usage and feedback. That's roughly 12x on input, 21x on output, and it's the clearest number anyone has published on what your proprietary sou...
Google released Gemini 3.1 Pro on February 19, the first ".1" increment in Gemini's history. The standout metric: 77.1% on ARC-AGI-2, more than double the reasoning performance of Gemini 3 Pro. VentureBeat calls it "Deep Think Mini" — adjustable reasoning depth on demand. Feat...
The essay argues concentrating superintelligence in a few labs is the real risk, organized around individual empowerment, invention, and balance of power. Concrete commitments: a "personal superintelligence" agent for every user, an America's Workforce Academy with free trades...
For about a year, "run your agent locally" meant accepting a model that couldn't reliably call a tool twice in a row. That excuse is gone. Meta Superintelligence Labs published Muse Glimmer today: a 29.6B dense causal transformer, 52 layers, 6,656 hidden dim, with a ~1.8B ViT-...
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