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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.
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
Mixed text, image, audio and document workloads that benefit from one model across modalities.
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex...
glm-5v-turbo is a Multimodal 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-5v-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.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
glm-5v-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-5v-turbo is cheaper than 25% of models on input price and ranks #386 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — glm-5v-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-5v-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.