Unverified60% confidenceFactExact time
Lightweight models such as Flash or Turbo variants typically achieve acceleration through model distillation, quantization, speculative decoding, or reducing the number of parameters and layers.
2
Sources
60%
Confidence
Long-term
Relevance
8/8/2026
First Seen
Sources
Ollama Cloud退订实录：GLM与DeepSeek实战对比
Related Claims
VerifiedFlash models typically use knowledge distillation technology, training smaller-parameter, faster-inference student models with flagship models as the teacher model.77% similarVerifiedFlash series models acquire capabilities through knowledge distillation from Pro or larger-scale Ultra models.74% similarVerifiedTurbo version models are typically based on techniques such as consistency distillation or flow matching, compressing the tens of denoising inference steps of standard diffusion models to 4 to 8 steps or even fewer72% similarUnverifiedThe Pro series models pursue maximum capability with larger parameter counts but higher latency and cost, while the Flash series emphasizes speed and efficiency, reducing inference costs through model distillation and sparse activation.71% similarUnverifiedThe "Flash" suffix in model naming usually points to a lightweight variant with faster inference and lower cost.71% similar
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