Merge Gateway

Glm 4.5V

Name: Glm 4.5V
Brand: Merge Gateway

Canonical ID: merge-gateway/zai/glm-4.5v

More Merge Gateway models More glm family models

GLM vision model for visual reasoning, documents, and multimodal agents

Reasoning: Yes Tool use: Yes Open weights

Overview

text image

Provider: Merge Gateway
Family: glm
Release date: 2025-08-11
Last updated: 2025-08-11
Input modalities: text, image
Output modalities: text

Pricing and Limits

Token pricing

Input: $0.6/1M
Output: $1.8/1M
Cached input: N/A

Context and output

Context window: 128,000
Max output tokens: 32,000
Qualified ID: merge-gateway/zai/glm-4.5v

Model Summary

Glm 4.5V is a model listing in the Merge Gateway provider catalog. It is categorized under the glm family.

The model supports text, image modalities across input/output paths. Reported context capacity is 128,000. Pricing is listed at $0.6/1M input and $1.8/1M output.

Same Family: glm

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Model	Provider	Context	Input	Output	Flags
Ambient Large ambient/ambient/large	Ambient	202,752	$0.6/1M	$2/1M	Reasoning Tools
Apex Flash 1 nano-gpt/z-ai/glm-5.3-flash-apex	NanoGPT	1,048,576	$0.15/1M	$0.5/1M	Reasoning Tools
Apex Flash 1 Abliterated nano-gpt/z-ai/glm-5.3-flash-apex-abliterated	NanoGPT	1,048,576	$0.15/1M	$0.5/1M	Reasoning Tools
AutoGLM Phone 9B Multilingual huggingface/zai-org/AutoGLM-Phone-9B-Multilingual	Hugging Face	65,536	$0.035/1M	$0.138/1M
AutoGLM Phone 9B Multilingual novita-ai/zai-org/autoglm-phone-9b-multilingual	Novita AI	65,536	$0.035/1M	$0.138/1M
Coding GLM 5.1 aihubmix/coding-glm-5.1	AIHubMix	200,000	$0.06/1M	$0.22/1M	Reasoning Tools
GLM 4 32B 0414 nano-gpt/THUDM/GLM-4-32B-0414	NanoGPT	128,000	$0.2/1M	$0.2/1M
GLM-4 32B (0414-128k) llmgateway/glm-4-32b-0414-128k	DevPass (LLM Gateway)	128,000	$0.1/1M	$0.1/1M	Tools
GLM-4 32B (0414-128k) (Z AI) llmgateway-providers/zai/glm-4-32b-0414-128k	LLM Gateway	128,000	$0.1/1M	$0.1/1M	Tools
GLM 4.5 vercel/zai/glm-4.5	Vercel AI Gateway	131,072	$0.6/1M	$2.2/1M	Reasoning Tools

Glm 4.5V

Overview

Pricing and Limits

Token pricing

Context and output

Model Summary

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