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The DeepSeek-V4.1-Flash model, a multimodal Mixture-of-Experts model with 552B backbone parameters and support for contexts of up to one million tokens, is introduced, substantially improving cost efficiency for agentic workloads and pushing the limits of KV cache compression.
ET-Prune achieves a remarkable balance between efficiency and accuracy, outperforming traditional pruning methods by retaining critical evidence while cutting down on unnecessary tokens.