MODEL PROFILE / EDITION 2026.09
Llama 4 Scout
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...
No ordinal score is published because comparable evidence is incomplete. No rank delta is shown because there is no prior numeric snapshot.
Best for
Catalogue discovery; compare availability, context, and public token pricing before benchmark review.
Price & access
$0.1 input / $0.3 output per 1M tokens on OpenRouter.
Evidence summary
Availability and price come from OpenRouter; normalized frontend and coding evidence has not yet been reviewed.
Edition status
Tracked. Tracked in the September 2026 baseline.
Strengths
- Current model catalogue entry with a public API identifier and pricing metadata.
Tradeoffs
- No normalized frontend-quality score has been assigned.
- Popularity and recency are not treated as quality evidence.
Linked evidence
Evidence source 1 ↗Evidence source 2 ↗Compare this model on the full scoreboard
Open comparison view →Use the same published data, filters, and side-by-side metrics.