Zhipu AIPixMind route verified · 2026-09-04GLM-5.3-Flash is the default PixMind chat model: a Chinese-first multimodal route with image understanding, a one-million-token context, tool use, and 100 free uses per day for eligible free users.
free daily image understanding, Chinese-first chat, and tool-assisted tasks
Selected model
GLM-5.3-Flash
GLM-5.3-Flash is the default PixMind chat model: a Chinese-first multimodal route with image understanding, a one-million-token context, tool use, and 100 free uses per day for eligible free users.
Three jobs to try first
Read screenshots or product images and turn visible evidence into findings and actions.
Prompt starter
Inspect the attached images for [goal]. Separate what is directly visible from inference. Return annotated findings, priority, and concrete next actions.
Reason across Chinese and English source material while preserving terminology and output structure.
Prompt starter
Synthesize the Chinese and English material below. Keep named entities and specialist terms consistent, flag translation ambiguity, and return a bilingual decision summary.
Create a usable brief, proposal, specification, or report with explicit sections and criteria.
Prompt starter
Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.
This PixMind route accepts text and images. Video, audio, or PDF availability is shown separately and should not be inferred from the model family.
Thinking required; default effort max
Input
140
points per 1M tokens
Output
490
points per 1M tokens
Compare the current route with nearby models before spending tokens on a long conversation.
| Model | Best for | PixMind inputs | Max output | Input points / 1M |
|---|---|---|---|---|
| GLM-5.3-FlashCurrent page | free daily image understanding, Chinese-first chat, and tool-assisted tasks | Text · Image input | 128,000 | 140 |
| GLM-5.3 | deep Chinese and English text reasoning, coding, and tool orchestration | Text | 128,000 | 1,400 |
| Gemini 3.5 Flash-Lite | cost-sensitive classification, extraction, and lightweight multimodal queues | Text · Image input · Video input | 65,536 | 382.2 |
| GPT-5.6 Luna | high-volume text, extraction, and lightweight chat | Text | 128,000 | 147.784 |
Model-family claims come from provider documentation. Inputs, limits, and points are the PixMind route snapshot verified on September 4, 2026.
Read screenshots or product images and turn visible evidence into findings and actions. Start with this template: Inspect the attached images for [goal]. Separate what is directly visible from inference. Return annotated findings, priority, and concrete next actions.
Reason across Chinese and English source material while preserving terminology and output structure. Start with this template: Synthesize the Chinese and English material below. Keep named entities and specialist terms consistent, flag translation ambiguity, and return a bilingual decision summary.
Create a usable brief, proposal, specification, or report with explicit sections and criteria. Start with this template: Draft a [deliverable] for [audience]. Use this source material: [context]. Required sections: [sections]. Keep claims evidence-based and end with decisions and next actions.
This PixMind route accepts text and images. Video, audio, or PDF availability is shown separately and should not be inferred from the model family. The current catalog flags: text, vision, image.
Write the task and output structure in the language of the source material. For image input, distinguish visible evidence from interpretation.
Current directory pricing is 140 input points and 490 output points per 1 million tokens.
GLM-5.3-Flash is positioned for free daily image understanding, Chinese-first chat, and tool-assisted tasks. Check the comparison table when lower cost, different input support, or a heavier reasoning tier matters more.
A network interruption, insufficient balance, or temporary model availability can stop a reply. Before resending, check whether token usage and points were already settled.
Use the prompt box above to send a focused first task, then continue in the full AI Chat workspace.
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