Historical model (legacy). The rates below are the last recorded rates, not a recommendation for a new deployment.
Current price verification is unresolved or overdue. These are the last recorded rates; check the official source before budgeting. We do not relabel an old check with today's build date.
Llama 4 Scout 17B 16E Instruct API Pricing
Llama 4 Scout 17B 16E Instruct costs $0.11 per 1M input tokens and $0.34 per 1M output tokens. These rates were last verified on .
Published rates and billing units
| Billing dimension | USD list price |
|---|---|
| Input / 1M tokens | $0.11 |
| Output / 1M tokens | $0.34 |
Verified 2026-08-12 · Official source · Pricing methodology. Taxes, optional services and account-specific discounts are not included.
Cost examples
These examples use published list prices only. They exclude taxes, enterprise discounts, minimum charges, retries, batch discounts, and provider-specific billing rules.
1M input + 1M output
$0.45
A direct per-million comparison against every other text model.
100K input + 25K output
$0.0195
A compact chat, summarization, or analysis workload.
10M input + 2M output
$1.78
A monthly production estimate for heavier RAG or agent traffic.
75% cached input + 250K output
Not listed
Groq does not publish a cached-input rate for this model in our dataset.
Calculator for Llama 4 Scout 17B 16E Instruct
Enter your own input, output, and cached-token assumptions. This calculator is preloaded with only Llama 4 Scout 17B 16E Instruct, so the result stays focused on this model.
Input cost
$0.11
Output cost
$0.34
Total
$0.45
Price history
No list-price movement across 187 daily snapshots from 2026-05-09 to 2026-11-11.
When to use Llama 4 Scout 17B 16E Instruct
Good fit
- high-volume routing, classification, extraction, summaries, and fallback traffic
Be careful with
- frontier reasoning or ambiguous tasks where failure is more expensive than token spend
- decisions that depend on unpublished context-window limits without checking the provider docs first