Meta Llama/Llama 4 Maverick 17b 128e Instruct
Meta Llama/Llama 4 Maverick 17b 128e Instruct is available via Groq with a 131K context window and up to 8,192 output tokens. Pricing: $0.2000/1M input tokens, $0.6000/1M output tokens.
Meta Llama/Llama 4 Maverick 17b 128e Instruct Pricing & Specifications
What is Meta Llama/Llama 4 Maverick 17b 128e Instruct?
Meta Llama/Llama 4 Maverick 17b 128e Instruct is a large language model by Groq with a 131K context window and up to 8,192 output tokens. It costs $0.20 per 1M input tokens and $0.60 per 1M output tokens. Meta Llama/Llama 4 Maverick 17b 128e Instruct is available via Groq with a 131K context window and up to 8,192 output tokens. Pricing: $0.2000/1M input tokens, $0.6000/1M output tokens.
Capabilities
text vision function calling json mode
Meta Llama/Llama 4 Maverick 17b 128e Instruct Cost Examples
Short prompt (500 tokens)
$0.000100
Medium prompt (2K tokens)
$0.00040
Long output (4K tokens)
$0.00240
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Frequently Asked Questions
How much does Meta Llama/Llama 4 Maverick 17b 128e Instruct cost per token? +
Meta Llama/Llama 4 Maverick 17b 128e Instruct costs $0.20 per 1M input tokens and $0.60 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000500.
What is the context window for Meta Llama/Llama 4 Maverick 17b 128e Instruct? +
Meta Llama/Llama 4 Maverick 17b 128e 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 4 Maverick 17b 128e Instruct? +
Meta Llama/Llama 4 Maverick 17b 128e 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 Meta Llama/Llama 4 Maverick 17b 128e Instruct good for coding tasks? +
Yes, Meta Llama/Llama 4 Maverick 17b 128e Instruct supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.