Meta Llama/Llama 3.1 8b Instruct
Meta Llama/Llama 3.1 8b Instruct is available via Novita AI with a 16K context window and up to 16,384 output tokens. Pricing: $0.0200/1M input tokens, $0.0500/1M output tokens.
Meta Llama/Llama 3.1 8b Instruct Pricing & Specifications
What is Meta Llama/Llama 3.1 8b Instruct?
Meta Llama/Llama 3.1 8b Instruct is a large language model by Novita AI with a 16K context window and up to 16,384 output tokens. It costs $0.020 per 1M input tokens and $0.050 per 1M output tokens. Meta Llama/Llama 3.1 8b Instruct is available via Novita AI with a 16K context window and up to 16,384 output tokens. Pricing: $0.0200/1M input tokens, $0.0500/1M output tokens.
Capabilities
text
Meta Llama/Llama 3.1 8b Instruct Cost Examples
Short prompt (500 tokens)
$0.000010
Medium prompt (2K tokens)
$0.00004
Long output (4K tokens)
$0.00020
Count tokens for Meta Llama/Llama 3.1 8b Instruct
Paste your prompt to see exact token counts and API cost estimates.
Open Token CounterSimilar Models to Meta Llama/Llama 3.1 8b Instruct
Frequently Asked Questions
How much does Meta Llama/Llama 3.1 8b Instruct cost per token? +
Meta Llama/Llama 3.1 8b Instruct costs $0.020 per 1M input tokens and $0.050 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000045.
What is the context window for Meta Llama/Llama 3.1 8b Instruct? +
Meta Llama/Llama 3.1 8b Instruct supports a context window of 16,384 tokens (16K). 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 3.1 8b Instruct? +
Meta Llama/Llama 3.1 8b Instruct can generate up to 16,384 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Meta Llama/Llama 3.1 8b Instruct good for coding tasks? +
Meta Llama/Llama 3.1 8b Instruct can handle basic coding tasks, but there are models specifically optimized for code generation that may perform better on complex programming problems.