Home / All model prices / Meta Llama / llama-4-scout M Meta Llama
llama-4-scout OpenRouter price Model overview 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...
Context window 1,310,720 tokens
Knowledge cutoff —
Price last verified 2026-09-06
First observed 2026-08-11 Descriptions, capabilities, and tariffs come from the linked source. First-party prices take priority; OpenRouter fallbacks are labelled.
Current price Estimated API value in USD per million tokens, backed by OpenRouter's public Models API.
Input $0.1
Cached input —
Cache write 5m —
Cache write 1h —
Output $0.3 Capabilities and formats text image frequency penalty logit bias max tokens min p presence penalty repetition penalty response format seed stop structured outputs temperature tool choice tools top k top p Performance references No comparable benchmark data is currently available.
PRICE EVOLUTION Price history Original observation and every later change, including any change of price source.
Original observed price Official price unavailable 2026-08-11
Input: — Cached input: — Cache write 5m: — Cache write 1h: — Output: —
Price change OpenRouter price 2026-08-20
Input: $0.1 Cached input: — Cache write 5m: — Cache write 1h: — Output: $0.3
Price change OpenRouter price 2026-08-26
Input: $0.11 Cached input: $0.055 Cache write 5m: — Cache write 1h: — Output: $0.34
Price change OpenRouter price 2026-09-01
Input: $0.1 Cached input: — Cache write 5m: — Cache write 1h: — Output: $0.3
