Meta: Llama 4 Scout 17B Instruct (AWS Bedrock)
Llama 4 Scout 17B Instruct (AWS Bedrock) is a language model from Meta released on Apr 5, 2025. It reads text and images and writes text, with a 8K token context window and up to 2K tokens per reply.
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It costs $0.17 per million input tokens and $0.66 per million output tokens.
It supports tool calling and structured JSON output, and its weights are open, so you can host it yourself.
5 providers serve it, including Amazon Bedrock, Vertex and OCI Generative AI.
- Modalities
- In / out price
- $0.17 / $0.66 per 1M
- Context
- 8K
- Max output
- 2K
- Released
- Apr 5, 2025
- Knowledge cutoff
- Aug 2024
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Llama 4 Scout 17B Instruct (AWS Bedrock) pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.17 / 1M tokens | |
|---|---|---|
| Output | $0.66 / 1M tokens |
Llama 4 Scout 17B Instruct (AWS Bedrock) providers
5 providers serve it, including Amazon Bedrock, Vertex and OCI Generative AI. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| Amazon Bedrock | $0.17 | $0.66 | – | 10M | 8K |
| Vertex | $0.25 | $0.70 | – | 1.31M | 8K |
| OCI Generative AI | $0.72 | $0.72 | – | 192K | 16K |
| LLM Gateway | $0.17 | $0.66 | – | 8K | 2K |
| DevPass (LLM Gateway) | $0.18 | $0.59 | – | 131K | 2K |
What Llama 4 Scout 17B Instruct (AWS Bedrock) costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call Llama 4 Scout 17B Instruct (AWS Bedrock) through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Temperature
temperature
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Llama 4 Scout 17B Instruct (AWS Bedrock) questions
How much does the Llama 4 Scout 17B Instruct (AWS Bedrock) API cost?
$0.17 per million input tokens and $0.66 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Llama 4 Scout 17B Instruct (AWS Bedrock)?
8,192 tokens of input, and it can write up to 2,048 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve Llama 4 Scout 17B Instruct (AWS Bedrock)?
5 providers serve it, including Amazon Bedrock, Vertex and OCI Generative AI. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does Llama 4 Scout 17B Instruct (AWS Bedrock) support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is Llama 4 Scout 17B Instruct (AWS Bedrock) open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Llama 4 Scout 17B Instruct (AWS Bedrock) released?
Apr 5, 2025, with training data up to Aug 2024.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Llama 4 Scout 17B Instruct (AWS Bedrock)?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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