Alibaba's Coin 3: A Major Leap in Open-Source AI Models

Alibaba has released a new open-source language model named Coin 3.

Coin 3 has 235 billion total parameters and 22 billion active parameters.

This model is said to outperform Kimmy K2 across various benchmarks.

Coin 3 employs a dual model approach, with an instruct model for dialogue and instruction following, and a thinking model for logical reasoning.

The model demonstrates significant improvements in instruction following, logic, text comprehension, and coding.

It features enhanced 256k context understanding and better alignment with human preferences in conversation.

Coin 3 achieves top scores in coding, math, agentic testing, and tool usage, competing well against Kimmy K2.

It outperforms Opus and DeepSeek V3 in several tests.

The model is accessible through Quen's chatbot and can be installed locally.

The model generated SVG code to create a butterfly, achieving satisfactory results.

It was tasked with building a responsive task management web app, generating approximately 1300 lines of code.

A Python script was created to scrape YouTube video data and visualize it, successfully detailing metrics such as title and views.

The model was tested on a classic river crossing logic puzzle, providing a step-by-step solution.

Responses demonstrated the model's ability to track multiple entities and their states effectively.

Alibaba's removal of the hybrid thinking mode has improved the model's performance.

Users can choose the appropriate model for specific tasks, enhancing the clarity and effectiveness of outputs.

Continuous updates and improvements are expected for this model series.