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Meta.Llama 4 Scout 17b 16e Instruct

Meta.Llama 4 Scout 17b 16e Instruct is available via Oci with a 192K context window and up to 4,000 output tokens. Pricing: $0.7200/1M input tokens, $0.7200/1M output tokens.

Meta.Llama 4 Scout 17b 16e Instruct Pricing & Specifications

Input Price$0.72 per 1M tokens
Output Price$0.72 per 1M tokens
Context Window192,000 tokens (192K)
Max Output4,000 tokens
ProviderOci

What is Meta.Llama 4 Scout 17b 16e Instruct?

Meta.Llama 4 Scout 17b 16e Instruct is a large language model by Oci with a 192K context window and up to 4,000 output tokens. It costs $0.72 per 1M input tokens and $0.72 per 1M output tokens. Meta.Llama 4 Scout 17b 16e Instruct is available via Oci with a 192K context window and up to 4,000 output tokens. Pricing: $0.7200/1M input tokens, $0.7200/1M output tokens.

Capabilities

text function calling

Meta.Llama 4 Scout 17b 16e Instruct Cost Examples

Short prompt (500 tokens)

$0.000360

Medium prompt (2K tokens)

$0.00144

Long output (4K tokens)

$0.00288

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Frequently Asked Questions

How much does Meta.Llama 4 Scout 17b 16e Instruct cost per token? +
Meta.Llama 4 Scout 17b 16e Instruct costs $0.72 per 1M input tokens and $0.72 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.001080.
What is the context window for Meta.Llama 4 Scout 17b 16e Instruct? +
Meta.Llama 4 Scout 17b 16e Instruct supports a context window of 192,000 tokens (192K). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Meta.Llama 4 Scout 17b 16e Instruct? +
Meta.Llama 4 Scout 17b 16e Instruct can generate up to 4,000 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Meta.Llama 4 Scout 17b 16e Instruct good for coding tasks? +
Yes, Meta.Llama 4 Scout 17b 16e Instruct supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.
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