DeepSeek V4.1 Flash vs Dots3 Note Preview (free) — AI Model Comparison | NagaAI
DeepSeek V4.1 Flash vs Dots3 Note Preview (free)
Compare DeepSeek V4.1 Flash and Dots3 Note Preview (free) on key metrics including price, context length, throughput, and other model features.
AuthorDeepseek
Context Length1.0M
Supports Tools
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.
Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is suited for reasoning, coding, multimodal understanding, long-context processing, and multi-step agent workflows.