Llama 4 Scout
Meta's 109B parameter multimodal MoE model with 16 experts and unprecedented 10M token context window for general-purpose AI tasks.
Language ModelsFree
4.7 (234 reviews)
Key Features
- 10M token context window
- 16 experts architecture
- Native multimodality
- iRoPE architecture
- Single H100 GPU compatible
Pros
- Industry-leading context length
- Open-weight model
- Efficient hardware usage
Cons
- Requires significant compute
- Complex deployment
Use Cases
Best For:
Research teamsLong document processingMultimodal applications
Not Recommended For:
Small-scale deploymentsLimited compute resources
Recent Reviews
John Developer
2 weeks ago
Excellent tool that has transformed our workflow. The API is well-documented and easy to integrate.
Sarah Tech
1 month ago
Great features but took some time to learn. Once you get the hang of it, it's incredibly powerful.
Mike Business
2 months ago
Best investment for our team. Increased productivity by 40% in just the first month.
Quick Info
CategoryLanguage Models
PricingFree
Rating4.7/5
Reviews234
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