Top Results for Open Weights
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Qwen3-Coder is an open-weights large language model created by Alibaba Group. It’s notable for its performance in code generation and completion, leveraging approximately 12 billion parameters. The model functions as a Continue.AI extension and is designed for developers, software engineers, and any...
DeepSeek-Coder-V2 is an open-weights language model designed for advanced code generation. Developed by Continue.AI, it leverages a CodeGen-UvLM architecture and incorporates Mixture of Experts (MoE) technology to improve performance. This model is particularly useful for developers, software engine...
Qwen2.5-Coder-32B-Instruct is an open-weights large language model developed by Continue AI. It’s notable for its performance in code generation and instruction following due to its 32 billion parameter Qwen architecture. This model is suitable for developers, researchers, and anyone requiring a cap...
StarCoder2-15B is an open-weights large language model designed for code completion and generation. It utilizes a substantial training dataset encompassing diverse coding languages. This model’s improved performance makes it suitable for developers, researchers, and anyone requiring assistance with...
StarCoder is an open-weights language model created by BigCode. It’s notable for its performance in code generation and completion tasks. Built upon the LLaMA architecture and trained on a vast collection of public code data, it's valuable for developers, programmers, and researchers working with so...
Devstral is an open-source extension for the ContinueAI platform that facilitates rapid experimentation with diverse language models by automating prompt generation and evaluation based on user-defined criteria.
OpenCoder is an extension for Microsoft Copilot that utilizes OpenAI’s Codex models to generate code snippets and complete functions based on natural language prompts, primarily focused on Python development within the Visual Studio Code environment.
CodeGemma 7B is a family of open-source large language models developed by Google DeepMind's Gemma team, specifically designed for code generation and understanding tasks. With 7 billion parameters, these models can generate code snippets, explain programming concepts, and assist with software devel...
Gemma, Google's open-weights family of models, offers a highly optimized and safety-conscious alternative. It is particularly strong for developers who prioritize Google's research backing and a model designed with responsible AI principles at its core. Its smaller variants are excellent for running...
Mellum is an AI extension developed by Continue.ai that facilitates the creation of large language models by allowing users to iteratively refine and guide outputs through a conversational interface, managing context and improving results over multiple interactions.
Stable Code is a Chrome extension developed by Continue AI that automatically generates code completions and snippets within your existing coding environment, leveraging large language models to assist with various programming tasks in real-time.
Frequently Asked Questions
What leads the Open Weights ranking?
Qwen3-Coder currently leads the Open Weights results with a displayed score of 9.24/10. This is an editorial ranking result for the items included on this page, not a universal verdict for every use case.
How should I read the score and confidence label?
The 0 to 10 score is Lunoo's ranking judgment. Strong confidence means 10 or more recorded comparison checks, some means 2 to 9, and provisional means fewer than 2.
What supports this ranking?
Lunoo combines category fit, feature coverage, pricing and value signals, public reception, recency, and peer comparisons. Public source links support factual item details when available, but they are not required for membership in this 11-item ranking.
Can I compare the leading results for Open Weights?
Yes. The comparison links put adjacent leaders side by side so you can inspect differences that one ranking score cannot capture.
