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Meta Llama/Llama 4 Scout 17B 16E Instruct

Meta Llama/Llama 4 Scout 17B 16E Instruct is available via Wandb with a 64K context window and up to 64,000 output tokens. Pricing: $17000.00/1M input tokens, $66000.00/1M output tokens.

Meta Llama/Llama 4 Scout 17B 16E Instruct Pricing & Specifications

Input Price$17000.00 per 1M tokens
Output Price$66000.00 per 1M tokens
Context Window64,000 tokens (64K)
Max Output64,000 tokens
ProviderWandb

What is Meta Llama/Llama 4 Scout 17B 16E Instruct?

Meta Llama/Llama 4 Scout 17B 16E Instruct is a large language model by Wandb with a 64K context window and up to 64,000 output tokens. It costs $17000.00 per 1M input tokens and $66000.00 per 1M output tokens. Meta Llama/Llama 4 Scout 17B 16E Instruct is available via Wandb with a 64K context window and up to 64,000 output tokens. Pricing: $17000.00/1M input tokens, $66000.00/1M output tokens.

Capabilities

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Meta Llama/Llama 4 Scout 17B 16E Instruct Cost Examples

Short prompt (500 tokens)

$8.500000

Medium prompt (2K tokens)

$34.00000

Long output (4K tokens)

$264.00000

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Frequently Asked Questions

How much does Meta Llama/Llama 4 Scout 17B 16E Instruct cost per token? +
Meta Llama/Llama 4 Scout 17B 16E Instruct costs $17000.00 per 1M input tokens and $66000.00 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $50.000000.
What is the context window for Meta Llama/Llama 4 Scout 17B 16E Instruct? +
Meta Llama/Llama 4 Scout 17B 16E Instruct supports a context window of 64,000 tokens (64K). 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/Llama 4 Scout 17B 16E Instruct? +
Meta Llama/Llama 4 Scout 17B 16E Instruct can generate up to 64,000 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Meta Llama/Llama 4 Scout 17B 16E Instruct good for coding tasks? +
Meta Llama/Llama 4 Scout 17B 16E Instruct can handle basic coding tasks, but there are models specifically optimized for code generation that may perform better on complex programming problems.
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