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Models

MiMo-V2.5-coder offers coding alternative to Qwen and DeepSeek models

A new open-weight coding model targets systems with 128GB memory, positioning itself as a faster alternative to larger proprietary models with native tool-calling support.

1 min read

A developer has released MiMo-V2.5-coder, an open-weight coding model designed for machines with 128GB of RAM. The release positions the model as a direct alternative to Qwen 3.6 and DeepSeek's DS4, with emphasis on inference speed and reliable tool-calling capabilities.

The model is available on H...

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Method & sources
Source type
Primary publication (lab/vendor blog) — our analysis + implication
Source link
r/localllama
Published
UTC
Byline
By the gotcontext.ai team (editorial standards)
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corrections@gotcontext.ai
MiMo-V2.5-coder offers coding alternative to Qwen and DeepSeek models — gotcontext.ai