Llama 4 Scouton Krater.ai
The efficient member of Meta's Llama 4 family, Scout offers impressive capability with a massive 10M token context window at lower cost than Maverick.
Released April 5, 2025
Specifications
Llama 4 Scout at a glance
Context
1.3M tokens
Max output
16.4K tokens
Input
Text, Image
Output
Text
Input price
$0.10 / 1M
Output price
$0.30 / 1M
Knowledge cutoff
2024-08-31
Krater rank
#99
Capabilities
What it is good at
Catalog capabilities
- Accepts image input
- Generates text responses
- Supports tool calling
- Supports structured outputs
- Massive 10M token context window
- Cost-effective Llama 4 performance
Good for
Benchmarks
Catalog data, not Krater benchmarks.
Coding index score
8.2
Agentic index score
1.1
Intelligence index score
10.3
Design Arena dataviz rank
#113
Design Arena uicomponent rank
#116
Compare
Compare Llama 4 Scout
Llama 4 Scout vs Llama 4 Maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward
Open comparisonLlama 4 Scout vs Llama Guard 4 12B
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification.
Open comparisonLlama 4 Scout vs Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
Open comparisonFAQ
Questions about Llama 4 Scout
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