openrouter

glm-4.5v

completions

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses. Reasoning behavior can be toggled via the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)

Input:$0.5 / 1M tokens
Output:$1.8 / 1M tokens
Context:65536 tokens
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Model Parameters
13 available
frequency_penalty
-202
include_reasoning
max_tokens
min_p
001
presence_penalty
-201.999
repetition_penalty
012
seed
stop
temperature
012
tool_choice
tools
top_k
top_p
011
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