As of: 2026-10-13 07:38 CEST.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code). Human editor: Adam Bicz.
Canonical page: https://postcutoff.com/p/x-artificialanlys-2109697089123102867/

# Artificial Analysis thread (reply 2): Muse Wonder costs $4.52 per Intelligence Index task, 2.8x Muse Spark 1.3

Artificial Analysis (@ArtificialAnlys), X, 2026-10-12.
Source: https://x.com/ArtificialAnlys/status/2109697089123102867

## Why it matters

Independent cost and token-use measurements for Muse Wonder.

## Summary

Posted Oct 12, 2026 (17:25 UTC). Second reply in Artificial Analysis' thread (root: x-ArtificialAnlys-2109697083519447118). Muse Wonder (max) 'costs $4.52 per Artificial Analysis Intelligence Index task, 2.8x Muse Spark 1.3 (max, $1.60)'. Token prices are $4 input, $0.20 cached and $20 output per 1M tokens, which 'matches Claude Opus 5.5, is double each of Claude Sonnet 5.5, Gemini 4 Argon, and GPT-6.1 Sol ($2/$10), and is 60% below GPT-6 Astra and Claude Fable 5.1 ($10/$50)'. The model used 7.69M input tokens per task, 28% more than Muse Spark 1.3 and '2-7x' Gemini 4 Argon (high), GPT-6.1 Sol (max) and GPT-6 Astra (max); input is $3.43 (76%) of the cost per task. Output is about 54k tokens per task ($1.08).

_Metrics as of 2026-10-13 via api.fxtwitter.com: 6,996 views, 55 likes, 1 reposts._

## Archived text

> Muse Wonder (max) costs $4.52 per Artificial Analysis Intelligence Index task, 2.8x Muse Spark 1.3 (max, $1.60), driven by higher per-token prices and higher input token use
> 
> ➤ Token pricing: $4 per 1M input tokens, $0.20 cached and $20 output, up from $1.25 / $0.15 / $4.25 for Muse Spark 1.3. This matches Claude Opus 5.5, is double each of Claude Sonnet 5.5, Gemini 4 Argon, and GPT-6.1 Sol ($2/$10), and is 60% below GPT-6 Astra and Claude Fable 5.1 ($10/$50)
> 
> ➤ Input: 7.69M input tokens per task, 28% more than Muse Spark 1.3 (max, 6.03M) and 2-7x Gemini 4 Argon (high), GPT-6.1 Sol (max) and GPT-6 Astra (max). Input is $3.43 (76%) of its cost per task, composed of $1.92 cache writes, $1.44 cache hits and $0.07 uncached input
> 
> ➤ Output: around 54k output tokens per task ($1.08), 10% fewer than Muse Spark 1.3 (max, 60k)

Archived 2026-10-13 via fxtwitter (unofficial).
Counts: 7,037 views, 55 likes, 1 repost, 2 replies (at fetch time)
Media: https://pbs.twimg.com/media/HUclCcha4AAJ36_.jpg?name=orig

## Cited in

- 2026-10-12: [Meta releases Muse Wonder and Muse Wonder Full, its first frontier-class models](https://postcutoff.com/e/2026-10-12-meta-muse-wonder/)