Standard Compute
Model comparison 2026

Muse Wonder vs Qwen3.7 Max

Muse Wonder
Meta · Frontier · Proprietary
$8.80/1M · 1.0M ctx
Qwen3.7 Max
Alibaba (Qwen) · Frontier · Proprietary
$2.36/1M · 1M 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 Wonder
Qwen3.7 Max
Maker
Meta
Alibaba (Qwen)
Blended price / 1M
$8.80
$2.36
Input / output
$4.00 in · $20 out / 1M tokens
$1.48 in · $4.42 out / 1M tokens
Context window
1.0M
1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.3
6.3
Agentic Ability
9.0
4.9
Speed
8.0
9.2
Value for money
5.4
4.7
Reliability
9.0
8.4

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

Verdict: Muse Wonder or Qwen3.7 Max?

Updated 2026-10-13

Choose Muse Wonder if you want multimodal agent work where you want a frontier model outside the usual three vendors. Choose Qwen3.7 Max if you want fast, long-context general work in Qwen-based stacks.

In our editorial scoring, Muse Wonder leads in 4 of five dimensions (output quality, agentic ability, value for money and reliability), while Qwen3.7 Max leads in 1. On price, Muse Wonder runs about $8.80 per 1M tokens (blended) and is proprietary; Qwen3.7 Max is about $2.36 and proprietary.

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 →
Where Qwen3.7 Max falls short
  • Weak on long agentic tasks (1.5% in Artificial Analysis's Terminal-Bench 4.0 run)
  • Costs more per request than Claude Sonnet 5.5 at OpenRouter's listed price
Full Qwen3.7 Max breakdown →

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