Llama 4 Scout API Drops 12%: Input Now $0.10, Output $0.30 per 1M Tokens

What Changed

Meta's Llama 4 Scout has received a -12% price cut on both input and output tokens. Input pricing moves from $0.11 to $0.10 per 1M tokens; output drops from $0.34 to $0.30 per 1M tokens.

Neither change is dramatic in isolation, but output costs tend to dominate real workloads — so that $0.04 reduction compounds quickly at scale.

Does It Move the Needle?

For low-volume developers, probably not. But if you're running anything throughput-heavy — RAG pipelines, summarization jobs, agent loops with verbose outputs — the output drop from $0.34 to $0.30 will show up in your monthly bill. A workload burning 100M output tokens a month saves $40. At 1B tokens, that's $400 back.

Scout was already positioned as a cost-efficient option given its long context window. This cut nudges it further in that direction without any apparent change to capability or rate limits.

Worth Switching For?

If you're currently on a pricier alternative and Scout's context length and task profile fit your use case, this is a reasonable moment to re-evaluate. If you're already on Scout, your costs just fell automatically — no action needed.

For full current specs, token limits, and price history, see Llama 4 Scout — live specs & price history.

Bottom Line

A straightforward, no-strings price reduction. Not a headline-grabber, but -12% across both input and output is a real saving for production workloads. Keep an eye on whether competitors respond in kind.

Ezra, Scout AI Team