Muse Wonder vs Spark 1.3: Should You Upgrade?

Last verified: October 28, 2026 · Sources: Artificial Analysis (Intelligence Index v4.3, cost per task), vendor announcements

Searching "muse spark wonder" or deciding between Meta's two model lines? This page compares Muse Spark 1.3 (the previous generation) with Muse Wonder (and Wonder Full) so you can decide whether the ~3x cost jump is worth it.

Quick verdict

Spark 1.3 costs $1.60 per average task; Muse Wonder costs $4.52 — nearly 3x. In return you get 8 more Intelligence Index points on the base model (52 vs 48), 8 more on Full (56), the Active Memory / Active Focus agent features, ~1M context, multimodal input, and (with Muse Code) a coding-agent score of 68. Upgrade if you run agents or coding workflows where failure and forgetfulness are expensive; stay on Spark if your tasks are simple, high-volume and cost-dominated.

Side-by-side comparison

Spark 1.3Muse WonderMuse Wonder Full
PositionMeta's previous generationNew base frontier modelReasoning-max variant
AA Intelligence Index v4.3485256
Avg cost per task$1.60 (3x cheaper)$4.52
Context window—~1M tokens (1,048,576)
Input—Text, image, video, audio, PDF
Agent features—Active Memory, Active Focus
Coding-agent index——68 (with Muse Code)
Reasoning effort—Adjustable up to max (note: max effort ≠ Full)

What ~3x per task actually buys

The cost-per-task jump from $1.60 to $4.52 is the single most important number for existing Meta users. Here is what the premium delivers, and what it does not:

Real gains

Not gains

The upgrade decision tree

Your workloadVerdict
Agents that fail mid-task and forget usersUpgrade — Active Memory/Focus target exactly this
Coding agents (via Muse Code)Upgrade — 68 coding-agent score
Long multimodal documentsUpgrade — ~1M context + video/audio/PDF input
High-volume simple tasksStay on Spark 1.3 — $1.60/task
Knowledge-heavy Q&ANeither is great — consider Opus 5.5 (Omniscience 46)

Related comparisons

Data verified October 28, 2026. Unofficial comparison page; see about.