Meta Llama/Llama 3.3 70B Instruct
Meta Llama/Llama 3.3 70B Instruct is available via Crusoe with a 131K context window and up to 131,072 output tokens. Pricing: $0.2000/1M input tokens, $0.2000/1M output tokens.
Meta Llama/Llama 3.3 70B Instruct Pricing & Specifications
What is Meta Llama/Llama 3.3 70B Instruct?
Meta Llama/Llama 3.3 70B Instruct is a large language model by Crusoe with a 131K context window and up to 131,072 output tokens. It costs $0.20 per 1M input tokens and $0.20 per 1M output tokens. Meta Llama/Llama 3.3 70B Instruct is available via Crusoe with a 131K context window and up to 131,072 output tokens. Pricing: $0.2000/1M input tokens, $0.2000/1M output tokens.
Capabilities
text function calling
Meta Llama/Llama 3.3 70B Instruct Cost Examples
Short prompt (500 tokens)
$0.000100
Medium prompt (2K tokens)
$0.00040
Long output (4K tokens)
$0.00080
Count tokens for Meta Llama/Llama 3.3 70B Instruct
Paste your prompt to see exact token counts and API cost estimates.
Open Token CounterSimilar Models to Meta Llama/Llama 3.3 70B Instruct
Frequently Asked Questions
How much does Meta Llama/Llama 3.3 70B Instruct cost per token? +
Meta Llama/Llama 3.3 70B Instruct costs $0.20 per 1M input tokens and $0.20 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.000300.
What is the context window for Meta Llama/Llama 3.3 70B Instruct? +
Meta Llama/Llama 3.3 70B 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 3.3 70B Instruct? +
Meta Llama/Llama 3.3 70B 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 3.3 70B Instruct good for coding tasks? +
Yes, Meta Llama/Llama 3.3 70B Instruct supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.