Insights from DeepSeek-R1 0528 update

DeepSeek-R1-0528 now demonstrates performance comparable to Gemini Pro and Claude 4, closing in on OpenAI's O3

DeepSeek-R1-0528 in huggingface

1. Breakthrough in Reasoning Capabilities

Computational Scaling & Algorithmic Optimization

• Increased average reasoning depth per complex problem: 12K → 23K tokens (AIME test set)
• AIME 2025 accuracy: 70% → 87.5% (+17.5%)
• HMMT 2025 pass rate: 41.7% → 79.4% (+90% improvement)
• Mathematical Olympiad performance:
  • CNMO 2024: 78.8% → 86.9%
  • AIME 2024: 79.8% → 91.4%

2. Hallucination Rate Reduction

• SimpleQA benchmark: Correctness improved from 30.1% → 27.8%
• Error rate reduction in fact-intensive tasks:
  • FRAMES accuracy: 82.5% → 83.0%
  • GPQA-Diamond: 71.5% → 81.0% (+13.3%)

3. Enhanced Function Calling Support

• Tool utilization benchmarks:
  • BFCL_v3_MultiTurn accuracy: 37.0% (first-time measurement)
  • Tau-Bench performance:
  • Airline domain: 53.5%
  • Retail domain: 63.9%
• API response reliability improved by 17% (SWE Verified resolution: 49.2% → 57.6%)

4. Optimized Vibe Coding Experience

• LiveCodeBench (2024-08 to 2025-05): Pass@1 rate surged from 63.5% → 73.3% (+9.8%)
• Aider-Polyglot accuracy: 53.3% → 71.6% (+34.3%)
• Key enhancements:
  • Context-aware autocompletion
  • Real-time error prediction
  • Multi-language pattern recognition