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Compare 3 distinct Lyceum models represented in Tavory across text and chat. Regional duplicates are consolidated into canonical model pages.
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Regional duplicates consolidated
Lyceum
DeepSeek V4 Pro is DeepSeek's flagship Mixture of Experts model (1.6T total, 49B active parameters) with a 1M token context window, built for advanced reasoning, coding, and long-horizon agentic workflows with strong tool use. Served by Lyceum in the EU.
Lyceum
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on output from a 552B-parameter backbone, an asymmetric split that keeps per-token compute low relative to the model's total size. Image understanding is native to the architecture, with visual and text embeddings trained jointly from the start of pre-training rather than added afterward as in the earlier experimental V4 Flash Vision Exp. It is suited for coding, terminal, and computer-use agents, along with long-horizon tasks that must run to completion across many steps and long-context analysis. Compressed KV caching cuts cache memory to roughly a quarter of the previous Flash generation, significantly reducing costs on agentic workloads. DeepSeek positions it as the cost-efficient tier of the V4.1 family and reports that it exceeds V4 Pro on performance, speed, and task completion time.
Lyceum
Moonshot AI's Kimi K3 - flagship 2.8T MoE reasoning model with a 1M token context window, vision input, long-context understanding, strong tool use, and agentic capabilities. Served by Lyceum in the EU.
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