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Real human-preference Elo from LMArena blind head-to-head votes. Higher is better; — means not yet ranked in that arena. This is measured, not our estimate.
Blended $/1M across tracked versions of this line.
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-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and...
glm-5.1 is a Text model from Zhipu AI (GLM) (CN). HotON.ai tracks it at $0.95 per 1M input tokens and $3.15 per 1M output tokens, with a 203K-token context window. Its composite efficiency score is 88/100 at an estimated $0.003 per successful task.
glm-5.1 is tracked at $0.95 per 1M input tokens and $3.15 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $2.60 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-5.1 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-5.1 is cheaper than 31% of models on input price and ranks #316 of 537 by overall efficiency.
Yes — qwen-plus is a lower-cost option at $0.78 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-5.1 (Zhipu AI (GLM)): $0.95/1M input, $3.15/1M output, as of 2026-04-28. https://hoton.ai/en/models/z-ai-glm-5-1Pricing 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.