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Meta Llama/Llama 3.2 11B Vision Instruct

Meta Llama/Llama 3.2 11B Vision Instruct is available via DeepInfra with a 131K context window and up to 131,072 output tokens. Pricing: $0.0490/1M input tokens, $0.0490/1M output tokens.

Meta Llama/Llama 3.2 11B Vision Instruct Pricing & Specifications

Input Price$0.049 per 1M tokens
Output Price$0.049 per 1M tokens
Context Window131,072 tokens (131K)
Max Output131,072 tokens
ProviderDeepInfra

What is Meta Llama/Llama 3.2 11B Vision Instruct?

Meta Llama/Llama 3.2 11B Vision Instruct is a large language model by DeepInfra with a 131K context window and up to 131,072 output tokens. It costs $0.049 per 1M input tokens and $0.049 per 1M output tokens. Meta Llama/Llama 3.2 11B Vision Instruct is available via DeepInfra with a 131K context window and up to 131,072 output tokens. Pricing: $0.0490/1M input tokens, $0.0490/1M output tokens.

Capabilities

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Meta Llama/Llama 3.2 11B Vision Instruct Cost Examples

Short prompt (500 tokens)

$0.000024

Medium prompt (2K tokens)

$0.00010

Long output (4K tokens)

$0.00020

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Frequently Asked Questions

How much does Meta Llama/Llama 3.2 11B Vision Instruct cost per token? +
Meta Llama/Llama 3.2 11B Vision Instruct costs $0.049 per 1M input tokens and $0.049 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000073.
What is the context window for Meta Llama/Llama 3.2 11B Vision Instruct? +
Meta Llama/Llama 3.2 11B Vision Instruct supports a context window of 131,072 tokens (131K). 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 3.2 11B Vision Instruct? +
Meta Llama/Llama 3.2 11B Vision Instruct can generate up to 131,072 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Meta Llama/Llama 3.2 11B Vision Instruct good for coding tasks? +
Meta Llama/Llama 3.2 11B Vision 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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