GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
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Among the 412 chat models on CoreAI, Z.ai: GLM 4.5V ranks #376 by context window — 66K tokens, roughly 49,152 words or 98 pages of text in a single conversation. On price, it is the #81 cheapest of 198 standard-tier models by input cost. It joined the catalog on 2025-08-11. It supports step-by-step reasoning (thinking mode) and accepts image input.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Z.ai: GLM 4.5V and Z.ai: GLM 5 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00150 on Z.ai: GLM 4.5V's raw per-token rates; a heavy session with a 50K-token document costs about $0.039. On CoreAI you don't juggle these numbers — one subscription covers Z.ai: GLM 4.5V and 300+ other models under a plan usage limit, with no API keys. See plans.
Z.ai: GLM 4.5V handles 66K tokens of context — roughly 49,152 words, or about 98 pages of text in one conversation.
Z.ai: GLM 4.5V's underlying rates are $0.6 per 1M input tokens and $1.8 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — Z.ai: GLM 4.5V accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. Z.ai: GLM 4.5V can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick Z.ai: GLM 4.5V in the model selector, and chat — no API key, no per-token billing. One subscription covers Z.ai: GLM 4.5V and 300+ other models.
The closest alternatives on CoreAI are Z.ai: GLM 5, DeepSeek: R1, IBM: Granite 4.0 Micro — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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