Update README.md

README.md

@@ -126,6 +126,8 @@ The model was fine-tuned on **82,000** high-value private samples:
 
 Evaluated on three key benchmarks: DMind Benchmark (Web3 Native Logic), FinanceQA (Financial Domain Knowledge), and AIME 2025 (Advanced Mathematical Reasoning).
 
+![Figure 3: Performance Benchmarks](./Figures/Figure3.png)
+
 The evaluation compares DMind-3-mini (4B) against top-tier frontier models (GPT-5.1, Claude Sonnet 4.5) and other efficient models. Despite its compact size, the Mini model demonstrates exceptional efficiency, particularly in specialized domain tasks where it outperforms significantly larger generalist models.
 
 ## 7. ⚖️ Limitations & Disclaimer