QwQ 32B vs DeepSeek V3

Overview

DeepSeek V3: DeepSeek V3 is DeepSeek's December 2024 open-weights Mixture-of-Experts model, activating 37 billion of 671 billion total parameters per token across a 128,000-token context window. It ships under the MIT licence with published weights and a technical report, and DeepSeek reports its own evaluation table for the text chat model under an 8,000-token output limit.

QwQ 32B: QwQ 32B is the reasoning model of Alibaba's Qwen series, a 32.5-billion-parameter causal language model (31.0 billion excluding embeddings) with 64 layers and grouped-query attention using 40 query and 8 key-value heads. It is built to work through a problem before answering rather than responding directly. The full context length is 131,072 tokens, though Qwen notes that prompts beyond 8,192 tokens require YaRN to be enabled. Released under Apache 2.0.

Context window: DeepSeek V3 accepts up to 128,000 tokens, QwQ 32B up to 131,072. Confirm the limit for your specific deployment channel before relying on it.