Meta model product
Llama 4 Scout is a natively multimodal model capable of processing both text and images. It features a 17 billion activated parameter (109B total) mixture-of-experts (MoE) architecture with 16 experts, supporting a wide range of multimodal tasks such as conversational interaction, image analysis, and code generation. The model includes a 10 million token context window.
Updated Aug 10, 2026. Default version: Llama 4 Scout
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Llama 4 Scout.
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| Helicone | llama-4-scout | global | $0.08 | $0.30 | 131.1K | |
| NanoGPT | meta-llama/llama-4-scout | global | $0.085 | $0.46 | 328K | |
| OpenRouter | meta-llama/llama-4-scout | global | $0.10 | $0.30 | 1.3M |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Llama 4 Scout | 32.3 | 109B | 10M | 10M | No | Llama 4 Community License Agreement |
A concise description based on the published model registry.
Llama 4 Scout is a natively multimodal model capable of processing both text and images. It features a 17 billion activated parameter (109B total) mixture-of-experts (MoE) architecture with 16 experts, supporting a wide range of multimodal tasks such as conversational interaction, image analysis, and code generation. The model includes a 10 million token context window.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Llama 4 Scout.
Llama 4 Scout's default version was released on Apr 5, 2025.
No official standard PAYG price is currently available for Llama 4 Scout. The lowest tracked third-party offer starts at $0.08 input and $0.30 output via Helicone.
Llama 4 Scout is published under Meta in the model registry.
The default version has a 10M token context window.
No. The default version is not marked as having publicly available weights.
3 published provider offerings are linked to the default version.
Nearby ranked alternatives include Qwen3 VL 8B Thinking, QwQ 32B, Qwen2.5 7B.