Standard Compute
Model comparison 2026

GPT-5.6 Sol vs Muse Wonder

GPT-5.6 Sol
OpenAI · Frontier · Proprietary
$4.40/1M · 1.1M 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
GPT-5.6 Sol
Muse Wonder
Maker
OpenAI
Meta
Blended price / 1M
$4.40
$8.80
Input / output
$2.00 in · $10 out / 1M tokens
$4.00 in · $20 out / 1M tokens
Context window
1.1M
1.0M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.6
9.3
Agentic Ability
7.9
9.0
Speed
7.6
8.0
Value for money
4.6
5.4
Reliability
9.2
9.0

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

Verdict: GPT-5.6 Sol or Muse Wonder?

Updated 2026-10-13

Choose GPT-5.6 Sol if you want existing GPT-5.6 Sol setups until they move to GPT-6.1 Sol. 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 value for money), while GPT-5.6 Sol leads in 1. On price, GPT-5.6 Sol runs about $4.40 per 1M tokens (blended) and is proprietary; Muse Wonder is about $8.80 and proprietary.

Where GPT-5.6 Sol falls short
  • Superseded by GPT-6.1 Sol, which scores higher at half the list price ($2/$10 vs $4/$20)
  • Prompts over 272K tokens bill at higher rates
Full GPT-5.6 Sol 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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