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Llama 4 Scout vs Muse Wonder

At a glance

Meta's efficient multimodal MoE model with 16 experts.

328K ctx$0.10/$0.30 per M

Meta's frontier reasoning model for complex personal and professional agentic tasks.

1.0M ctx$4.00/$20.00 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper98%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
328K
Context
16K
Max output
Apr 2025
Released
1.0M
Context
256K
Max output
Oct 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input98%$0.10/M tokens
Output99%$0.30/M tokens
Live pricing, shown before you run
Input$4.00/M tokens
Output$20.00/M tokens
Cache read$0.20/M tokens
Web search$0.003/search
Chat with Llama 4 ScoutGo to model
Chat with Muse WonderGo to model
Frequently Asked Questions: Llama 4 Scout vs Muse Wonder▼

Which is better, Llama 4 Scout or Muse Wonder?

▼

Both Llama 4 Scout and Muse Wonder are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Llama 4 Scout or Muse Wonder?

▼

Llama 4 Scout has a lower blended cost. Llama 4 Scout: $0.10 input / $0.30 output. Muse Wonder: $4.00 input / $20.00 output.

Which has a larger context window, Llama 4 Scout or Muse Wonder?

▼

Muse Wonder has a larger context window: Llama 4 Scout supports 328K tokens vs Muse Wonder at 1M tokens.

Do both Llama 4 Scout and Muse Wonder support vision?

▼

Yes, both Llama 4 Scout and Muse Wonder support vision/image input.

What are the key differences between Llama 4 Scout and Muse Wonder?

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Key differences: Llama 4 Scout is significantly cheaper; only Muse Wonder offers extended reasoning mode. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Llama 4 Scout and Muse Wonder for free on idapt.app to see which performs better for your specific needs.

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