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K3 is #1 on MMLU-Pro. One API key. 95% cheaper.
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Kimi K3 has 2.78 trillion parameters and ships as 1.42 TB of weights. It clearly does not fit in the memory of a laptop. But K3 is a Mixture-of-Experts model. For each token, only a small fraction of its 896 experts per layer is activated. That changes the problem: the entire model does not need to be resident in RAM, as long as the weights required by each token can be reached quickly enough. We built WASTE — the Weight-Aware Streaming Tensor Engine — to explore that idea. WASTE keeps the dense, repeatedly used part of the model resident in memory, stores the routed experts in an…
Jul 2026
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Testing Kimi K3’s Ability Through Practical Use Cases
Jul 2026 · youtube.com
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See where your AI API cost & tokens go — no API key needed
Jul 2026 · reasoningdensity.com
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