Best Open Weights
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Rankings use category fit, feature coverage, pricing signals, public reception, and recency. Affiliate relationships do not affect scores.
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...
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...
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