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AWS Bedrock

Ca Central 1/Meta.Llama3 8b Instruct

Ca Central 1/Meta.Llama3 8b Instruct is available via AWS Bedrock with a 8K context window and up to 8,192 output tokens. Pricing: $0.3500/1M input tokens, $0.6900/1M output tokens.

Ca Central 1/Meta.Llama3 8b Instruct Pricing & Specifications

Input Price$0.35 per 1M tokens
Output Price$0.69 per 1M tokens
Context Window8,192 tokens (8K)
Max Output8,192 tokens
ProviderAWS Bedrock

What is Ca Central 1/Meta.Llama3 8b Instruct?

Ca Central 1/Meta.Llama3 8b Instruct is a large language model by AWS Bedrock with a 8K context window and up to 8,192 output tokens. It costs $0.35 per 1M input tokens and $0.69 per 1M output tokens. Ca Central 1/Meta.Llama3 8b Instruct is available via AWS Bedrock with a 8K context window and up to 8,192 output tokens. Pricing: $0.3500/1M input tokens, $0.6900/1M output tokens.

Capabilities

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Ca Central 1/Meta.Llama3 8b Instruct Cost Examples

Short prompt (500 tokens)

$0.000175

Medium prompt (2K tokens)

$0.00070

Long output (4K tokens)

$0.00276

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Frequently Asked Questions

How much does Ca Central 1/Meta.Llama3 8b Instruct cost per token? +
Ca Central 1/Meta.Llama3 8b Instruct costs $0.35 per 1M input tokens and $0.69 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000695.
What is the context window for Ca Central 1/Meta.Llama3 8b Instruct? +
Ca Central 1/Meta.Llama3 8b Instruct supports a context window of 8,192 tokens (8K). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Ca Central 1/Meta.Llama3 8b Instruct? +
Ca Central 1/Meta.Llama3 8b Instruct can generate up to 8,192 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Ca Central 1/Meta.Llama3 8b Instruct good for coding tasks? +
Ca Central 1/Meta.Llama3 8b 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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