cuuupid/glm-4v-9b

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GLM-4V is a multimodal model released by Tsinghua University that is competitive with GPT-4o and establishes a new SOTA on several benchmarks, including OCR.

Capabilities

Reference Images

Cost

Community model (estimated from hardware time)

Input Parameters

Name	Type	Description	Default	Constraints
`image` *	string (uri)	Image input	`—`	—
`prompt` *	string	Prompt	`—`	—
`max_length`	integer	Maximum number of tokens to generate.	`512`	min: 1, max: 8192
`top_k`	integer	Top-K sampling	`1`	min: 1, max: 1000

image required string

Image input

prompt required string

Prompt

max_length integer

Maximum number of tokens to generate.

Default: 512 min: 1, max: 8192

top_k integer

Top-K sampling

Default: 1 min: 1, max: 1000

Version: 69196a237cdc Updated: 2/26/2026 93.5K runs