Llama 4 Scout 17B (16E MoE)

Chat model by Meta.

Meta language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation.

Models / Llama 4 Scout 17B (16E MoE)ID: azure_ai/Llama-4-Scout-17B-16E-Instruct

Maker

Meta

Served On: Azure Foundry

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.

Context window

—

Max output

—

Modality

chat

Vision
Function calling
System prompt

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-cost header, 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.

  1. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"
  2. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · azure_ai/Llama-4-Scout-17B-16E-Instruct
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with azure_ai/Llama-4-Scout-17B-16E-Instruct
claude --model azure_ai/Llama-4-Scout-17B-16E-Instruct

FAQs

What is Llama 4 Scout 17B (16E MoE)?

Meta language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation.

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.

When was Llama 4 Scout 17B (16E MoE) released?

Llama 4 Scout 17B (16E MoE) was released on August 30, 2026.

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 Muse Spark 1.1 (nrouter.ai/models/muse-spark-1.1), Muse Spark 1.3 Contributor (nrouter.ai/models/muse-spark-1.3-contributor), Hermes 3 Llama 3.1 70B (nrouter.ai/models/nousresearch-hermes-3-llama-3.1-70b), Muse Glimmer 30B (nrouter.ai/models/meta-models-muse-glimmer-30b).