DeepSeek: R1 Distill Qwen 32B
By Deepseek
Released: 2025-01-29
Deepseek Deepseek R1 Distill Qwen 32B, developed by DeepSeek, features 32B parameters. DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models. Other benchmark results include: - AIME 2024 pass@1: 72.6 - MATH-500 pass@1: 94.3 - CodeForces Rating: 1691 The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models. Available at $0.29/1M tokens.
Visit DeepSeek: R1 Distill Qwen 32BAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Deepseek Model Timeline
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Specifications
AI Evaluation
Specialized for mathematical reasoning and quantitative problem-solving. Handles complex equations, proofs, and numerical analysis with precision.
Pros
- Competitive pricing ($0.29/1M)
- Mathematical reasoning
- Natural conversation flow
- Optimized for RAG workflows
Cons
- API integration required
- May need prompt tuning
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