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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-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...
glm-5-turbo is a Text model from Zhipu AI (GLM) (CN). HotON.ai tracks it at $1.20 per 1M input tokens and $4.00 per 1M output tokens, with a 203K-token context window. Its composite efficiency score is 88/100 at an estimated $0.004 per successful task.
glm-5-turbo is tracked at $1.20 per 1M input tokens and $4.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $3.30 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-5-turbo supports up to a 203K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, glm-5-turbo is cheaper than 25% of models on input price and ranks #294 of 535 by overall efficiency.
Yes — minimax-m2.1 is a lower-cost option at $0.95 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-5-turbo (Zhipu AI (GLM)): $1.20/1M input, $4.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/z-ai-glm-5-turboPricing 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.