Update README.md

README.md

@@ -13,7 +13,7 @@ We are introducing Ling-3.0-flash-VL, our next-generation native multimodal mode
 With 124B total parameters, only 5.5B activated parameters per token, support for image and video inputs, and a context window of up to 256K tokens, Ling-3.0-flash-VL delivers powerful multimodal reasoning and agentic capabilities with exceptional efficiency.
 
 # Model Overview
-Ling-3.0-flash-VL inherits the language, reasoning, and long-context capabilities of Ling-3.0-flash, while extending them with native image and video understanding. The model has 124B total parameters, with only 5.5B parameters activated per token, and supports a context window of up to 1M tokens.
+Ling-3.0-flash-VL inherits the language, reasoning, and long-context capabilities of Ling-3.0-flash, while extending them with native image and video understanding. The model has 124B total parameters, with only 5.5B parameters activated per token, and supports a context window of up to 256K tokens.
 
 The architecture of Ling-3.0-flash-VL is designed to integrate visual information into real-world reasoning and agentic workflows.
 
@@ -25,7 +25,7 @@ The architecture of Ling-3.0-flash-VL is designed to integrate visual informatio
 Overall, these designs make vision more than just an input, integrating it into the complete process of understanding, reasoning, planning, acting, and verification.
 
 
-![ling-3.0-flash-vl-0906](https://cdn-uploads.huggingface.co/production/uploads/6666ca359f5a0b3229238a1a/WhsE3cM7QMelBCjdeyex2.png)
+![ling-3.0-flash-vl-0910](https://cdn-uploads.huggingface.co/production/uploads/6666ca359f5a0b3229238a1a/IL2eS4KUbKLYCWcoFC-Bq.png)
 
 # Evaluation
 Ling-3.0-flash-VL achieves a score of **42** on the Artificial Analysis Intelligence Index v4.1.1, improving by 4 points over Ling-3.0-flash’s score of 38. The results show that extending the model with visual capabilities further improves its overall intelligence performance.