Standard Compute
Model comparison 2026

Muse Spark Open vs Muse Wonder

Muse Spark Open
Meta · Balanced · Open weights
$2.15/1M · 1.0M ctx
Muse Wonder
Meta · Frontier · Proprietary
$8.80/1M · 1.0M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality

Correctness and depth of what it produces

Agentic Ability

Tool calls, instruction-following, and multi-step tasks

Speed

Tokens per second and time-to-first-token

Value for Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Muse Spark Open
Muse Wonder
Maker
Meta
Meta
Blended price / 1M
$2.15
$8.80
Input / output
$1.25 in · $4.25 out / 1M tokens
$4.00 in · $20 out / 1M tokens
Context window
1.0M
1.0M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.0
9.3
Agentic Ability
5.0
9.0
Speed
7.0
8.0
Value for Money
5.3
5.4
Reliability
8.0
9.0

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Muse Spark Open or Muse Wonder?

Updated 2026-10-16

Choose Muse Spark Open if you want trying Meta's open-weight coding model through OpenRouter, or self-hosting it where code must stay on your own hardware. Choose Muse Wonder if you want multimodal agent work where you want a frontier model outside the usual three vendors.

In our editorial scoring, Muse Wonder leads in 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while Muse Spark Open leads in 0. On price, Muse Spark Open runs about $2.15 per 1M tokens (blended) and is open-weight; Muse Wonder is about $8.80 and proprietary.

Where Muse Spark Open falls short
  • No independent agent benchmark results yet; the published figures are Meta's own
  • Self-hosting needs at least 700 GB of GPU memory in NVFP4 (2 TB in BF16), per Meta's model card
Full Muse Spark Open breakdown →
Where Muse Wonder falls short
  • Same price as Claude Opus 5.5 ($4/$20) but lower on Artificial Analysis and Terminal-Bench 4.0
  • Closed weights, unlike Meta's Llama models
Full Muse Wonder breakdown →

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