DeepSeek-R1-Lite-Preview
Last Updated on: Sep 12, 2025
DeepSeek-R1-Lite-Preview
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What is DeepSeek-R1-Lite-Preview?
DeepSeek R1 Lite Preview is the lightweight preview of DeepSeek’s flagship reasoning model, released on November 20, 2024. It’s designed for advanced chain-of-thought reasoning in math, coding, and logic, showcasing transparent, multi-round reasoning. It achieves performance on par—or exceeding—OpenAI’s o1-preview on benchmarks like AIME and MATH, using test-time compute scaling.
Who can use DeepSeek-R1-Lite-Preview & how?
  • Enthusiasts & Experimenters: Use the free web preview (“Deep Think” mode) to explore reasoning chains step by step.
  • Math & Logic Users: Tackle difficult high-school to competition-level problems with visible, multi-step solutions.
  • Coding Enthusiasts: Generate and debug code with full reasoning paths shown.
  • Researchers: Study RL-induced reasoning behaviors in open-source models before the full R1 release.
  • Benchmarkers: Compare reasoning performance transparently against o1-preview and other top LLMs.

How to Use DeepSeek R1 Lite Preview?
  • Enable Deep Think: Use the “Deep Think” mode on the web interface to access extended reasoning emissions.
  • Submit Complex Prompts: Focus on math, code, or logic problems to leverage transparent chain-of-thought capabilities.
  • Multiple Iterations: The model refines outputs through iterative self-verification, boosting accuracy with longer reasoning.
  • Web-Only Preview Mode: Currently limited to web use; API access to full models planned for later.
What's so unique or special about DeepSeek-R1-Lite-Preview?
  • Transparent Reasoning: Displays full internal chain-of-thought during inference—unlike hidden reasoning in o1-preview.
  • Test-Time Compute Scaling: Longer thought chains directly improve performance on math benchmarks.
  • High Benchmark Scores: Exceeds o1-preview on AIME, MATH, and Codeforces tasks.
  • Prelude to R1 Family: A stepping-stone before full DeepSeek-R1 and API support; open-sourced under MIT.
Things We Like
  • Visible step-by-step reasoning enhances transparency
  • Strong performance on complex math and coding
  • Open-source mindset with MIT licensing
  • Multi-turn evaluation boosts answer confidence
  • Represents breakthrough in RL-only reasoning models
Things We Don't Like
  • Web-only preview with no API or heavy usage access
  • Built on smaller base model—limits reasoning depth compared to full R1
  • Output can be verbose or include redundant self-checking steps
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FAQs

A November 2024 preview of DeepSeek’s chain-of-thought reasoning model, showing transparent reasoning steps and strong performance on math/coding tasks.
Enable the “Deep Think” mode on DeepSeek’s web interface to use the preview.
It uses test-time compute to extend internal thought chains—which improves accuracy as reasoning tokens increase.
Outperforms OpenAI o1-preview on AIME, MATH, and Codeforces benchmarks.
Yes—API and full R1 release are planned post-preview. Web preview remains for now.

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