Stop renting intelligence. Find open models that fit your rig, benchmarked honestly, with a source-cited tracker of who runs what - so no vendor or government order can switch off the model you depend on.
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You don't need a cloud API to run the best open-weight models. A single high-memory machine or multi-GPU desktop runs Llama, Qwen, GLM, and more privately - no per-token bill, no rate limit, and no vendor switch-off.
@niklaslenz_ai - 4 nodes
@tobi - 3 nodes
@MichaelGannotti - 2 nodes
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Yuchen Jin (Databricks): DeepSeek V4.1 Flash is his pick for easy and moderate tasks - fast and cheap. Databricks reports customers cutting spend dramatically by shifting 20% of internal coding traffic from Claude/GPT to open models.
Yuchen Jin (Databricks): GLM-5.3 is cheap and fast, suited to high volumes of non-complex coding tasks. Part of Databricks engineers' shift to open models as daily drivers.
Databricks AI systems CTO Yuchen Jin: Kimi K3 is the best open-weight coding model in their experience. Databricks serves it at 239 tok/s, the largest open model they have hosted, and ranks #1 for K3 inference speed on Artificial Analysis.
Statuses: confirmed official source reported credible third-party, not officially confirmed testing evaluating, not deployed.
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