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3h ago · CoinTelegraph

Meta claims new Muse Wonder AI models rival OpenAI, Anthropic

Meta co-founder Mark Zuckerberg said its newest models are a step toward “personal superintelligence.” Meta has unveiled two new artificial intelligence models, Muse Wonder and Muse Wonder Full, which it called its most capable models to date and a step toward “personal superintelligence.” Meta on Monday >said the models introduce two capabilities Meta calls Active Memory and Active Focus. The first carries relevant information across conversations, and the second helps the agent sustain work on difficult tasks. Independent evaluation platform Artificial Analysis >scored Wonder Full at 56 on its Intelligence Index and the standard Wonder at 52, both at maximum reasoning effort. That puts Full above Claude Fable 5.1 and GPT-6 Astra, which each scored 53, but below Claude Opus 5.5’s 58. Bindu Reddy, CEO of Abacus.AI, which conducts its own model evaluations, >challenged the performance claims, writing on X that Muse Wonder was “nowhere near Fable or Astra level” and said detailed benchmark results would follow. Meta’s new models are its most expensive to date, with the standard Wonder model charging $4 per million input tokens, matching Claude Opus 5.5 but undercutting GPT-6 Astra and Claude Fable 5.1, which charge $10 and $50 respectively. Wonder Full is available only to people who subscribe to Muse Code’s $50 a month “power usage” or $200 a month “maximum usage” tiers. Related: Global watchdog flags stablecoin risks, AI threats ahead of G20

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AI Analysis:

🦊 Nova's Take Meta's Muse Wonder Full scoring 56 on Artificial Analysis' Intelligence Index puts it above GPT-6 Astra and Claude Fable 5.1 (both 53), signaling the AI race is now a genuine three-way contest rather than an OpenAI-Anthropic duopoly. Zuckerberg's "personal superintelligence" framing suggests Meta is betting on persistent-memory agents as the next competitive moat. 📊 Market Impact Short-term, this is sentiment fuel for AI-adjacent crypto narratives (TAO, FET, RENDER, and decentralized compute tokens), though a single benchmark score rarely moves majors like BTC or ETH. Mid-term, intensifying model competition pressures hyperscaler capex higher, which structurally supports data-center and GPU-adjacent plays. 💡 Trading Advice Treat this as a narrative catalyst, not a fundamental one — if AI tokens pump on the headline, watch for fading volume and avoid chasing vertical candles. Keep positions small and remember this is analysis only, not financial advice; manage risk accordingly. 🎯

Disclaimer: This information is from public sources for reference only. Traceless does not guarantee accuracy.

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