GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
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Measured against all 440 chat models CoreAI serves, Z.ai: GLM 5.3 Flash sits at #110 for context capacity — 1.0M tokens, roughly 786,431 words or 1,573 pages of text in a single conversation. On price, it is the #99 cheapest of 150 budget-tier models by input cost. It joined the catalog on 2026-08-26. 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 5.3 Flash and Z.ai: GLM 4.5 Air side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00040 on Z.ai: GLM 5.3 Flash's raw per-token rates; a heavy session with a 50K-token document costs about $0.010. On CoreAI you don't juggle these numbers — one subscription covers Z.ai: GLM 5.3 Flash and 300+ other models under a plan usage limit, with no API keys. See plans.
Z.ai: GLM 5.3 Flash handles 1.0M tokens of context — roughly 786,431 words, or about 1,573 pages of text in one conversation.
Z.ai: GLM 5.3 Flash's underlying rates are $0.15 per 1M input tokens and $0.5 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 5.3 Flash accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. Z.ai: GLM 5.3 Flash 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 5.3 Flash in the model selector, and chat — no API key, no per-token billing. One subscription covers Z.ai: GLM 5.3 Flash and 300+ other models.
The closest alternatives on CoreAI are Z.ai: GLM 4.5 Air, Xiaomi: MiMo-V2.6-Flash, DeepSeek: DeepSeek Flash Latest — 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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