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Deepseek R1 Distill Llama 70b

Deepseek R1 Distill Llama 70b is available via Gradient Ai with a 33K context window and up to 8,000 output tokens. Pricing: $0.9900/1M input tokens, $0.9900/1M output tokens.

Deepseek R1 Distill Llama 70b Pricing & Specifications

Input Price$0.99 per 1M tokens
Output Price$0.99 per 1M tokens
Context Window32,768 tokens (33K)
Max Output8,000 tokens
ProviderGradient Ai

What is Deepseek R1 Distill Llama 70b?

Deepseek R1 Distill Llama 70b is a large language model by Gradient Ai with a 33K context window and up to 8,000 output tokens. It costs $0.99 per 1M input tokens and $0.99 per 1M output tokens. Deepseek R1 Distill Llama 70b is available via Gradient Ai with a 33K context window and up to 8,000 output tokens. Pricing: $0.9900/1M input tokens, $0.9900/1M output tokens.

Capabilities

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Deepseek R1 Distill Llama 70b Cost Examples

Short prompt (500 tokens)

$0.000495

Medium prompt (2K tokens)

$0.00198

Long output (4K tokens)

$0.00396

Count tokens for Deepseek R1 Distill Llama 70b

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Frequently Asked Questions

How much does Deepseek R1 Distill Llama 70b cost per token? +
Deepseek R1 Distill Llama 70b costs $0.99 per 1M input tokens and $0.99 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.001485.
What is the context window for Deepseek R1 Distill Llama 70b? +
Deepseek R1 Distill Llama 70b supports a context window of 32,768 tokens (33K). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Deepseek R1 Distill Llama 70b? +
Deepseek R1 Distill Llama 70b can generate up to 8,000 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Deepseek R1 Distill Llama 70b good for coding tasks? +
Deepseek R1 Distill Llama 70b 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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