AIToday
Large Language ModelsTHE DECODERPublished: Oct 13, 2026, 04:00 JST

Meta's Muse Wonder Full hits 56 points on Artificial Analysis index

Meta's Muse Wonder Full hits 56 points on Artificial Analysis index

3 Key Points

  1. What happened

    Meta released Muse Wonder in two variants. Muse Wonder Full scores 56 points on the Artificial Analysis Intelligence Index v4.3, up from predecessor Muse Spark 1.3's 48 points. On Terminal-Bench 4.0, agentic performance rose from 33 to 57 percent.

  2. Why it matters

    The jump from 48 to 56 points moves Meta from a mid-tier position among frontier developers into the top three on six out of ten benchmarks — a recovery for a company that had a weaker stretch with its open models.

WHO IT HITSMeta's API customers and coding-tool users get a two-variant frontier model with sharply better agentic and coding scores, though the higher per-task cost lands on teams running large coding or agent workloads.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

Context & Analysis

Meta's release of Muse Wonder in two variants is the company's first frontier model since a stretch in which its open Llama models lost ground to competitors. The benchmark spread tells the story: coding and math improved sharply — Muse Wonder Full solves 94 out of 100 problems on ProofBench, up from 58, and hits 68 points on the Coding Agents Index, tying Claude Code with Sonnet 5.5. But factual knowledge remains thin, with Muse Wonder Full managing only 30 points on the AA-Omniscience test, well behind Claude Opus 5.5, GPT-6 Astra, and Gemini 4 Argon. Low hallucination rates partly compensate; Muse Wonder Full cut its hallucination rate from 33 to 23 percent. On cost, Artificial Analysis puts Muse Wonder at $4.52 per task — below Claude Fable 5.1 and Claude Opus 5.5 but above GPT-6 Astra, Gemini 4 Argon, and GPT-6.1 Sol.

FAQ
How much does Muse Wonder cost per task?
Muse Wonder runs $4.52 per task on the Intelligence Index, nearly three times more than Muse Spark 1.3 at $1.60. Token pricing is $4 per million input tokens and $20 for output.
Where does Muse Wonder Full rank on the Vals AI Index?
Muse Wonder Full (Max) debuts at fifth place and beats all OpenAI models, with only current Anthropic models scoring higher. Muse Wonder lands at tenth.
What are the new features in Muse Wonder?
Active Memory lets the model remember key information across conversations and recall it when needed. Active Focus is its ability to stick with difficult tasks, try alternative approaches, and ask follow-up questions.

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleGitHub Copilot app for Beginners: 4 ways to teach Copilot your codebase