YOU ARE VIEWING ONE ITEM FROM THE AICRIER FEED

Muse Wonder Matches Opus Pricing, Teams Cost More

AICrier tracks AI developer news across Product Hunt, GitHub, Hacker News, YouTube, X, arXiv, and more. This page keeps the article you opened front and center while giving you a path into the live feed.

// WHAT AICRIER DOES

7+

TRACKED FEEDS

24/7

SCRAPED FEED

Short summaries, external links, screenshots, relevance scoring, tags, and featured picks for AI builders.

Muse Wonder Matches Opus Pricing, Teams Cost More
OPEN LINK ↗
// 1h agoMODEL RELEASE

Muse Wonder Matches Opus Pricing, Teams Cost More

Meta launched Muse Wonder, its first frontier-class model, at $4 per million input tokens and $20 per million output tokens, while the stronger Wonder Full remains exclusive to Muse Code subscriptions. A Vals AI study found agent teams cost 1.8–5.1x more than single agents, with only one statistically significant improvement across 50 web apps.

// ANALYSIS

The signal is less “teams are the future” than “coordination is a metered feature”: premium models are converging on price, while orchestration can erase productivity gains.

  • –Muse Wonder offers API access and OpenAI-compatible integration, but Meta keeps its strongest variant behind Muse Code subscriptions.
  • –Vals found GPT 6 Sol’s medium-effort team improved scores from 77.6% to 84.9%, but costs rose from $1.22 to $3.07 per app.
  • –Claude Opus 5.5 teams barely improved medium-effort results—91.2% versus 91.5%—while more than doubling cost.
  • –Opus max-effort teams reached 93.2% at $122 per app, versus 89.8% at $23.77 for a single agent.
  • –Teams make the most sense when work genuinely parallelizes; otherwise, developers should benchmark cost, runtime, and regression risk—not just score.
// TAGS
muse-wonderllmcoding-agentagentbenchmarkevaluationpricingapi

DISCOVERED

1h ago

2026-10-13

PUBLISHED

1h ago

2026-10-13

RELEVANCE

9/ 10

AUTHOR

michaelnemtsev