Meta has made the jump most people assumed was still years away. Meta Superintelligence Labs released its long-anticipated Muse Wonder models this week, and the flagship Wonder Full has landed at number two in Artificial Analysis’ intelligence rankings. Only Anthropic’s Opus 5.5 sits above it.
For most of this cycle, the frontier has been a two-horse race between OpenAI and Anthropic. Meta’s arrival changes the shape of that contest, and not just on benchmarks. The models are strong, but the infrastructure wrapped around them may be the more worrying part for rival labs.
The numbers put Wonder Full in the top tier
Artificial Analysis’ Intelligence Index now places Wonder Full three points clear of the pack. Google’s Gemini 4 Argon, OpenAI’s GPT-6 Astra, and Anthropic’s Claude Fable 5.1 all sit at 53 on the index. Wonder Full clears that group and sits two points behind Opus 5.5 at the top.
A three point lead over three of the most capable models in existence is not a rounding error. It places Meta’s model in genuine frontier territory, a statement the company could not make with confidence even six months ago.
Where it wins, and where it loses
Early testing shows a familiar pattern of specialisation. Wonder Full passes Opus 5.5 and Astra at legal work, long coding, and memory. Opus keeps the lead on health, computer use, and a few coding areas.
That split matters commercially. Legal work and long coding are two of the highest-value tasks enterprises pay for, so Wonder Full attacks the most lucrative parts of the market first. The memory advantage is also notable in an era where agents need to hold context across long, multi-step jobs.
The timing looks deliberate. Wonder Full arrives as agentic use cases, extended coding sessions, and memory-heavy workflows become the deciding purchase criteria for enterprise teams. Meta has aimed its first frontier shot squarely at the capabilities buyers are actually testing, rather than at benchmark slivers that rarely surface in real work.
Access and pricing: a break from the Llama era
The biggest strategic shift is that both Muse Wonder models are closed. Meta built its reputation on the open Llama family, and its retreat from that position tells you how seriously the company now treats the frontier as a commercial contest.
Wonder Full is limited to Muse Code plans at $50 or $200 per month. The standard Wonder model is live on Meta’s API and rolling out to paid subscribers of the Muse app. Scale AI’s Alexandr Wang has said API prices will sit “meaningfully below” the top OpenAI and Anthropic models, which puts direct pressure on the pricing strategies of both rivals.
Why it matters
Meta just turned a two-horse race into a three-horse race. That alone would be news. The unwelcome part for OpenAI and Anthropic is everything surrounding the model: the data centres, the billions of users, and a consumer agent app in Muse that has already found an audience.
Those assets are hard to replicate quickly. A rival can match a model score, but it cannot instantly build billions of distribution points. Meta has spent years assembling exactly that combination, and this release is the first time it has looked genuinely capable of using it at the frontier.
For users, the near-term effect is likely to be cheaper access to top-tier capability. When a third lab competes on price and capability, the winners tend to be the customers. The frontier is no longer a duopoly, and that changes the economics for everyone downstream.
