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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 2026-05-11 · Source: zhipu_bigmodel_official_reference
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task plannin...
glm-4.7-flash is a Text model from Zhipu AI (GLM) (CN). HotON.ai tracks it at $0.06 per 1M input tokens and $0.40 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
glm-4.7-flash is tracked at $0.06 per 1M input tokens and $0.40 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.32 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-4.7-flash 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-4.7-flash is cheaper than 90% of models on input price and ranks #246 of 537 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-4.7-flash (Zhipu AI (GLM)): $0.06/1M input, $0.40/1M output, as of 2026-05-11. https://hoton.ai/en/models/z-ai-glm-4-7-flashPricing 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.