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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact...
glm-4.5-air is a Text model from Zhipu AI (GLM) (CN). HotON.ai tracks it at $0.13 per 1M input tokens and $0.85 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
glm-4.5-air is tracked at $0.13 per 1M input tokens and $0.85 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.67 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
glm-4.5-air supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, glm-4.5-air is cheaper than 75% of models on input price and ranks #230 of 535 by overall efficiency.
Yes — deepseek/deepseek-v4-flash is a lower-cost option at $0.28 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — glm-4.5-air (Zhipu AI (GLM)): $0.13/1M input, $0.85/1M output, as of 2026-04-28. https://hoton.ai/en/models/z-ai-glm-4-5-airPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.