Llama 4 Scout 17B (16E MoE)
Chat model by Meta.
Llama 4 Scout 17B (16E MoE) is a chat model made by Meta, served on nRouter.
Maker
Meta
Specifications
Context window, ranked against other chat models
Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: glm-5.3-prime, qwen3-235b-a22b-2507, qwen3.7-max-2026-05-17.
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chat
Pricing
Rates are read live
Pricing for Llama-4-Scout-17B-16E-Instruct is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.
Availability
Not enough data yet
We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.
How Llama 4 Scout 17B (16E MoE) is billed
Billed at the provider's list price, with no per-token markup.
- Exact list price
- Tokens settle at the published rate of the model that served your call.
- Cache discounts passed through
- Provider prompt-caching discounts reach your balance with no added fee.
- Cost on every response
- Each response carries the
x-nr-request-costheader, so you can reconcile spend per request.
More from Meta
Start building with Llama-4-Scout-17B-16E-Instruct
One API key, three steps. Choose your tool to begin.
Get a key
Create API keySet your API key
export NROUTER_API_KEY="<YOUR_API_KEY>"Configure Claude Code
Choose a tool, then copy its setup from the panel.
Questions? Answers.
What is Llama 4 Scout 17B (16E MoE)?
Llama 4 Scout 17B (16E MoE) is a chat model made by Meta, served on nRouter.
How much does Llama 4 Scout 17B (16E MoE) cost?
Llama 4 Scout 17B (16E MoE) is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.
Does Llama 4 Scout 17B (16E MoE) support tool calling and structured outputs?
Yes. Llama 4 Scout 17B (16E MoE) supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.
What inputs and outputs does Llama 4 Scout 17B (16E MoE) support?
Llama 4 Scout 17B (16E MoE) takes text as input and returns text as output.
How do I use Llama 4 Scout 17B (16E MoE) via nRouter?
Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "azure_ai/Llama-4-Scout-17B-16E-Instruct". The quick-start panel above has a copy-paste curl command for this model.
Where is the Llama 4 Scout 17B (16E MoE) documentation?
Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.
What other text models does Meta have?
Other Meta text models on nRouter include Llama 4 Maverick 17B Instruct (nrouter.ai/models/llama4-maverick-17b-instruct), Llama 4-Maverick 17B 128E-Instruct-FP 8 (nrouter.ai/models/llama-4-maverick-17b-128e-instruct-fp8), Llama 3.3 70B Instruct (nrouter.ai/models/llama3-3-70b-instruct), Llama 3.3.70B-Instruct (nrouter.ai/models/llama-3.3-70b-instruct).