Compare GLM 4.5 Air (free) and Deepseek v3.2 on key metrics including price, context length, throughput, and other model features.
GLM-4.5-Air is the lightweight version of our newest flagship model family, designed specifically for agent-focused applications. Like GLM-4.5, it uses a Mixture-of-Experts (MoE) architecture, but with a smaller parameter footprint. GLM-4.5-Air also supports hybrid inference modes, including a "thinking mode" for deeper reasoning and tool usage, and a "non-thinking mode" for real-time interactions.
DeepSeek-V3.2 is a large language model optimized for high computational efficiency and strong tool-use reasoning. It features DeepSeek Sparse Attention (DSA), a mechanism that lowers training and inference costs while maintaining quality in long-context tasks. A scalable reinforcement learning post-training framework further enhances reasoning, achieving performance comparable to GPT-5 and earning top results on the 2025 IMO and IOI. V3.2 also leverages large-scale agentic task synthesis to improve reasoning in practical tool-use scenarios, boosting its generalization and compliance in interactive environments.