Standard Compute
Model comparison 2026

Llama 4 Maverick vs Muse Wonder

Llama 4 Maverick
Meta · Budget · Open weights
$0.33/1M · 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
Llama 4 Maverick
Muse Wonder
Maker
Meta
Meta
Blended price / 1M
$0.33
$8.80
Input / output
$0.19 in · $0.65 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
No
Yes
Output Quality
3.5
9.3
Agentic Ability
4.4
9.0
Speed
5.9
8.0
Value for money
5.8
5.4
Reliability
8.4
9.0

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

Verdict: Llama 4 Maverick or Muse Wonder?

Updated 2026-10-13

Choose Llama 4 Maverick if you want self-hosted setups built on the Llama ecosystem. 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 4 of five dimensions (output quality, agentic ability, speed and reliability), while Llama 4 Maverick leads in 1. On price, Llama 4 Maverick runs about $0.33 per 1M tokens (blended) and is open-weight; Muse Wonder is about $8.80 and proprietary.

Where Llama 4 Maverick falls short
  • Not suited to agentic coding (0% in Artificial Analysis's Terminal-Bench 4.0 run)
  • About 44 output tokens/s, per Artificial Analysis
Full Llama 4 Maverick 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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