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Llama 3.1 405B vs Muse Wonder

At a glance

Meta's largest open-weight model at 405B parameters.

63131K ctx#66/92

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
Sources:Epoch ECI·Epoch AI· as of 2026-10-02
Capability
CapabilityECI62.7
Reasoning & Knowledge
Graduate Science50.9%
Math
Math Problems49.8%Competition Math9.7%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Capability
Capability—
Reasoning & Knowledge
Graduate Science—
Math
Math Problems—Competition Math—
Specs
131K
Context
16K
Max output
—
Released
1.0M
Context
256K
Max output
Oct 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
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 3.1 405BGo to model
Chat with Muse WonderGo to model
Frequently Asked Questions: Llama 3.1 405B vs Muse Wonder▼

Which is better, Llama 3.1 405B or Muse Wonder?

▼

Both Llama 3.1 405B 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 has a larger context window, Llama 3.1 405B or Muse Wonder?

▼

Muse Wonder has a larger context window: Llama 3.1 405B supports 131K tokens vs Muse Wonder at 1M tokens.

Do both Llama 3.1 405B and Muse Wonder support vision?

▼

Muse Wonder supports vision/image input, but Llama 3.1 405B does not.

What are the key differences between Llama 3.1 405B and Muse Wonder?

▼

Key differences: only Muse Wonder supports vision input; 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 3.1 405B and Muse Wonder for free on idapt.app to see which performs better for your specific needs.

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