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Model details

GLM-4.6V FlashX (Z AI)

GLM-4.6V FlashX is a multimodal entry in Z AI's GLM family, designed to process both text and image inputs while returning text outputs, making it suitable for visual question answering, document understanding, and image-grounded conversational tasks. The "V" designation in the model name signals its vision-language orientation, extending the broader GLM line into multimodal use cases. An independent pricing comparison page confirms Z AI as the attributed creator and notes that the model is positioned at the lower end of the cost spectrum relative to larger GLM siblings, which makes it attractive for high-volume or cost-sensitive deployments that still need image understanding alongside language capabilities.

GLM-4.6V FlashX is targeted at developers who need an inexpensive multimodal model that retains modern agentic features. According to the catalog's capability profile, the model supports reasoning and tool calling alongside attachment handling and configurable sampling, which means it can fit into retrieval-augmented pipelines, agent frameworks, and multimodal chat applications without requiring a larger or more expensive flagship. Its context window sits in the mid-range, and the "FlashX" naming aligns with Z AI's pattern of streamlined variants optimized for faster inference. Because no first-party Z AI technical report or benchmark data for this specific FlashX variant was supplied, concrete performance numbers should be treated cautiously; the model is best understood as a budget-friendly vision-language option in the GLM lineup rather than a top-tier reasoning system.

LLM Gatewayzai/glm-4.6v-flashxglm-flash

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LLM Gateway
Model key
zai/glm-4.6v-flashx
Release date
Dec 8, 2025
Last updated
Dec 8, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.04
Output token cost
$0.40

Limits

Output tokens
16,000 tokens
Context window
128,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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