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Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8

Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 is available via DeepInfra with a 1.0M context window and up to 1,048,576 output tokens. Pricing: $0.1500/1M input tokens, $0.6000/1M output tokens.

Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 Pricing & Specifications

Input Price$0.15 per 1M tokens
Output Price$0.60 per 1M tokens
Context Window1,048,576 tokens (1.0M)
Max Output1,048,576 tokens
ProviderDeepInfra

What is Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8?

Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 is a large language model by DeepInfra with a 1.0M context window and up to 1,048,576 output tokens. It costs $0.15 per 1M input tokens and $0.60 per 1M output tokens. Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 is available via DeepInfra with a 1.0M context window and up to 1,048,576 output tokens. Pricing: $0.1500/1M input tokens, $0.6000/1M output tokens.

Capabilities

text function calling

Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 Cost Examples

Short prompt (500 tokens)

$0.000075

Medium prompt (2K tokens)

$0.00030

Long output (4K tokens)

$0.00240

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Frequently Asked Questions

How much does Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 cost per token? +
Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 costs $0.15 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 $0.000450.
What is the context window for Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8? +
Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 supports a context window of 1,048,576 tokens (1.0M). 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 FP8? +
Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 can generate up to 1,048,576 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 FP8 good for coding tasks? +
Yes, Meta Llama/Llama 4 Maverick 17B 128E Instruct FP8 supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.
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