AI Coding BATTLE | Which Open Source Model is BEST?

1. Local coding models can operate without internet.

🥈85 01:18

All tested models can function locally, providing a significant advantage for offline coding tasks.

• This allows users to work on coding projects without relying on internet connectivity.
• The models can be integrated into various coding environments for enhanced productivity.
• Local operation is particularly beneficial for users with limited internet access.

2. Yoder 9B coder showed decent speed but limited success.

🥉78 02:04

Yoder 9B coder was faster than Deep Sea Coder V2 but still faced challenges in game implementations.

• It utilized the Turtle library for the Snake game, which worked but had alignment issues.
• The model performed better than Deep Sea Coder V2 but not as well as Quen 2.5.
• It passed simpler coding challenges but struggled with more complex tasks.

3. Quen 2.5 coder is the best performing model.

🥇95 03:30

In tests, Quen 2.5 coder consistently outperformed the other models in speed and functionality, especially in creating the Snake game.

• Quen 2.5 coder achieved nearly 70 tokens per second, making it the fastest.
• It successfully implemented the Snake game with proper functionality.
• Despite being the smallest model, it excelled in performance.

4. All models struggled with complex coding challenges.

🥉70 10:28

Despite their capabilities, none of the models successfully completed the more difficult coding challenges presented.

• The models timed out or failed to produce correct outputs for advanced tasks.
• This highlights the limitations of current open-source coding models in handling complex problems.
• Future tests should focus on practical coding challenges to better assess their capabilities.