update readme doc

constants.py

@@ -28,10 +28,20 @@ We aim to provide cost-effective and accurate evaluation for multimodal models,
 
 ## 📊🔍 Results & Takeaways from Evaluating Top Models
 
-- GPT-4o (0513) and Claude 3.5 Sonnet (1022) lead the benchmark. Claude 3.5 Sonnet (1022) improves over Claude 3.5 Sonnet (0620) obviously in planning tasks (application dimension) and UI/Infographics inputs (input format dimension).
-- Qwen2-VL stands out among open-source models, and its flagship model gets close to some proprietary flagship models
+
+### ️‍🔥📝 January 2025
+
+- **Gemini 2.0 Experimental (1206)** and **Gemini 2.0 Flash Experimental** outperform **GPT-4o** and **Claude 3.5 Sonnet**. 
+- We add **Grok-2-vision-1212** to the single-image leaderboard. The model seems to use a lot of tokens per image, and cannot run many of our multi-image and video tasks.
+- We will evaluate o1 series models when there is budget.
+
+
+### 📝 November 2024
+
+- **GPT-4o (0513)** and **Claude 3.5 Sonnet (1022)** lead the benchmark. **Claude 3.5 Sonnet (1022)** improves over **Claude 3.5 Sonnet (0620)** obviously in planning tasks (application dimension) and UI/Infographics inputs (input format dimension).
+- **Qwen2-VL** stands out among open-source models, and its flagship model gets close to some proprietary flagship models
 - Chain-of-Thought (CoT) prompting improves proprietary models but has limited impact on open-source models
-- Gemini 1.5 Flash performs the best among all the evaluated efficiency models, but struggles with UI and document tasks
+- **Gemini 1.5 Flash** performs the best among all the evaluated efficiency models, but struggles with UI and document tasks
 - Many open-source models face challenges in adhering to output format instructions
 
 ## 🎯 Interactive Visualization