DeepSeek: R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across multiple benchmarks, including: - AIME 2024 pass@1: 70.0 - MATH-500 pass@1: 94.5 - CodeForces Rating: 1633 The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.
Context Window
131K
Input Price
$0.0300/M tokens
Output Price
$0.1100/M tokens
Modality
text->text
Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000410
~98K
Words Equivalent
~66
Pages of Text
~1311
Code Functions
DeepSeek: DeepSeek V3.2 Speciale
$0.2700/M tokens · 164K context
DeepSeek: DeepSeek V3.2
$0.2500/M tokens · 164K context
DeepSeek: DeepSeek V3.2 Exp
$0.2100/M tokens · 164K context
DeepSeek: DeepSeek V3.1 Terminus (exacto)
$0.2100/M tokens · 164K context
DeepSeek: DeepSeek V3.1 Terminus
$0.2100/M tokens · 164K context
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