© 2025 DeepSeek. All rights reserved.浙ICP备2023025841号浙B2-20250178浙公网安备33010502011812号 · ResearchDeepSeek R1DeepSeek V3DeepSeek Coder V2DeepSeek VLDeepSeek V2DeepSeek CoderDeepSeek MathDeepSeek LLM

January 22, 2025 - Through RL, DeepSeek-R1-Zero naturally emerges with numerous powerful and intriguing reasoning behaviors. However, it encounters challenges such as poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates multi-stage training and cold-start data before RL.

1 month ago - DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning.

1 week ago - And DeepSeek R1 powered the first consumer-facing chatbot to show the full chain of thought before answering.

2 weeks ago - As a result, DeepSeek researchers went back and implemented an additional reinforcement learning stage in the training pipeline with a reward for language consistency to prevent the mix-up. Out came DeepSeek-R1, a successor to R1-Zero.

2 weeks ago - In this comparative analysis, DeepSeek-R1 showed superior performance to ChatGPT-4o in addressing both clinical and patient-focused urticaria questions. Its strengths included higher accuracy, more guideline-compliant responses, greater ...

2 weeks ago - DeepSeek-R1 introduces one of the most cost-efficient pricing models in the AI ecosystem, combining low token rates, cache-optimized input billing and open-source deployment options that significantly reduce the total cost of ownership for ...

DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning.

DeepSeek-R1 is a family of open reasoning models with performance approaching that of leading models, such as O3 and Gemini 2.5 Pro.

September 17, 2025 - A new artificial intelligence model, DeepSeek-R1, is introduced, demonstrating that the reasoning abilities of large language models can be incentivized through pure reinforcement learning, removing the need for human-annotated demonstrations.

Whether it’s solving high-level mathematics, generating sophisticated code, or breaking down complex scientific questions, DeepSeek R1’s RL-based architecture allows it to self-discover and refine reasoning strategies over time.

Top open-source reasoning LLM rivaling OpenAI's o1 model; delivers top-tier performance across math, code, and reasoning tasks at a fraction of the cost. All data you provide this bot will not be used in training, and is sent only to Together AI, a US-based company.

3 weeks ago - The NVIDIA DeepSeek-R1-0528-FP4 v2 model is the quantized version of the DeepSeek AI's DeepSeek R1 0528 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here.

3 weeks ago - Developers can access the latest deepseek API(Deadline for article publication): DeepSeek R1 API (model name: deepseek-r1-0528)through CometAPI. To begin, explore the model’s capabilities in the Playground and consult the API guide for detailed instructions.

1 month ago - New research from CrowdStrike has revealed that DeepSeek's artificial intelligence (AI) reasoning model DeepSeek-R1 produces more security vulnerabilities in response to prompts that contain topics deemed politically sensitive by China.

2 weeks ago - In January 2025, China-based AI startup DeepSeek (深度求索) released DeepSeek-R1, a high-quality large language model (LLM) that allegedly cost much less to develop and operate than Western competitors’ alternatives.

November 19, 2025 - A group of quantum physicists claims to have created a version of the powerful reasoning AI model DeepSeek R1 that strips out the censorship built into the original by its Chinese creators.

November 20, 2024 - Longer Reasoning, Better Performance. DeepSeek-R1-Lite-Preview shows steady score improvements on AIME as thought length increases.