High-signal frontier AI context tagged with inference.
Google open-sourced the first mainstream text diffusion model. The real story isn't 'fast'. It's that the local decode bottleneck moves from memory bandwidth to compute, with bidirectional attention generating 256 tokens at once. The cost: quality, experimental status, and the 26B MoE trade-offs.
Read analysisDeepSeek V4 matters because it turns 1M context from a capability demo into a cost, routing, and product-default problem for builders.
Read analysisDeepSeek V4 pressures closed frontier models by pairing open weights with same-day API availability, compatibility, and a clear migration path.
Read analysisMiMo-V2.5-Pro-UltraSpeed's 1000 tps claim matters less as a speed stunt than as a change in long-output, parallel-sampling, and real-time interaction economics.
Read analysisMiMo UltraSpeed is a strong signal for real-time agents, but limited capacity and controlled access make it a premium path rather than a universal production backend.
Read analysisMiMo-V2.5-Pro-UltraSpeed decodes a trillion-parameter model past 1000 tps on a single 8-GPU commodity node. The real signal is that model-system codesign broke the 'extreme speed needs custom silicon' equation, not the operating-room marketing wrapped around it.
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