Compare Baidu DeepSeek V3.2 from DeepSeek and DeepSeek R1 Distill Llama 70B from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Baidu DeepSeek V3.2DeepSeek R1 Distill Llama 70BThe model DeepSeek-V3.2-Exp is officially named deepseek-chat on the website. It is an experimental version. As an intermediate step towards the next-generation architecture, V3.2-Exp introduces DeepSeek Sparse Attention (a sparse attention mechanism) based on V3.1-Terminus, exploring and validating
Provided by Groq, the DeepSeek-R1-Distill model is fine-tuned based on an open-source model, using samples generated by DeepSeek-R1. We have made slight modifications to their configurations and tokenizers. Please use our settings to run these models.
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Baidu DeepSeek V3.2: $0.411/M output tokens; DeepSeek R1 Distill Llama 70B: $1.6/M. Use the cost calculator above to estimate your own workload.
Baidu DeepSeek V3.2 accepts text input and supports tool calling, function calling and structured outputs; DeepSeek R1 Distill Llama 70B accepts text input and supports thinking.
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