Llama 4 Scout

Llama 4 Scout by Meta excels in the Coding category, where it ranks #144 with a composite score of 72/100. Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens. Built for high efficiency and local or commercial deployment, Llama 4 Scout incorporates early fusion for seamless modality integration. It is instruction-tuned for use in multilingual chat, captioning, and image understanding tasks. Released under the Llama 4 Community License, it was last trained on data up to August 2024 and launched publicly on April 5, 2025. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Llama 4 Scout is priced at $0.08 per million input tokens and $0.30 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Llama 4 Scout holds rank #144 out of 6 models tracked. Its quality rank is #144 and adoption rank is #144. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Llama 4 Scout has been evaluated across 5 different signals. Its strongest areas include Capabilities (67/100), Pricing (0/100), Context Window (88/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 72/100 reflects a weighted combination of all tracked signals.

Llama 4 Scout is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Meta's website for current free tier availability and promotional offers.