In a major leap for AI reliability, DeepSeek has launched an upgraded version of its flagship R1 language model, promising significant improvements in reasoning, coding, and factual accuracy—while dramatically reducing hallucinations. The update, announced this week, targets critical pain points for developers, researchers, and everyday users who rely on AI for precise information.
Key Improvements
The R1 refresh focuses on three core areas:
- Reduced Hallucinations: By refining training data and reinforcement techniques, DeepSeek claims a 40% drop in factual inaccuracies.
- Enhanced Reasoning: Benchmarks show gains in complex math and logic tasks, including top scores on the challenging AIME problems (2024 AIME I | 2025 AIME I).
- Coding Prowess: The model now outperforms rivals on real-world programming benchmarks like LiveCodeBench and Aider’s Leaderboard.
Technical Backing
The upgrades build on DeepSeek’s open-source research, including findings from their foundational paper on arXiv (2311.12022). Independent validations via platforms like LastExam.ai confirm improvements in academic and professional testing scenarios.
How to Access
- Chat Interface: Try R1 for free at chat.deepseek.com.
- API & Docs: Integrate via DeepSeek API.
- Open Source: Explore the model on GitHub.
- Official Hub: Learn more at deepseek.com.
Why It Matters
“AI hallucination isn’t just annoying—it’s dangerous in fields like education, coding, or medicine,” says DeepSeek’s CTO. “R1’s update tackles this head-on while pushing state-of-the-art performance.”
The release positions DeepSeek as a rising contender against giants like GPT-4 and Claude 3, especially for users prioritizing accuracy. As one tester noted: “It finally stopped inventing fake Python libraries.”
Ready to test the new R1?
➤ Chat: https://chat.deepseek.com/
➤ Full details: https://www.deepseek.com/en
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