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API

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ZHIPU
Date
Price
glm-5.2
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glm-5.2

Zhipu AI’s next-generation, self-developed, high-end flagship large model specifically designed for multimodal agents.
Model
LLM
Model capability: thinkingModel capability: function_call
Input:
$1.4/1M tokens
Output:
$4.4/1M tokens
glm-5.1
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glm-5.1

GLM-5.1 is the next-generation flagship model launched by Zhipu AI, specifically designed to tackle “long-term, complex engineering tasks.”
Model
LLM
Model capability: thinkingModel capability: function_call
Input:
$1.4/1M tokens
Output:
$4.4/1M tokens
glm-5v-turbo
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glm-5v-turbo

GLM-5V-Turbo is Zhipu’s first multimodal coding foundation model, designed specifically for visual programming tasks. It can natively process multimodal inputs such as images, videos, and text, and excels at long-term planning, complex programming, and action execution. It is deeply integrated with agent workflows, enabling seamless collaboration with agents like Claude Code and OpenClaw to complete the full closed-loop process of “understanding the environment → planning actions → executing tasks.”
Model
LLM
Model capability: audioModel capability: imageModel capability: videoModel capability: thinkingModel capability: function_call
Input:
$0.72/1M tokensstarting from
Output:
$3.2/1M tokensstarting from
glm-5-turbo
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glm-5-turbo

GLM-5-Turbo is a foundation model deeply optimized for the OpenClaw scenario.
Model
LLM
Model capability: thinkingModel capability: function_call
Input:
$0.72/1M tokensstarting from
Output:
$3.2/1M tokensstarting from
glm-5
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glm-5

Zhipu AI has launched a new-generation flagship foundation large model, specifically designed for complex system engineering and long-term agent tasks, offering a real programming experience that closely rivals Claude Opus 4.5.
Model
LLM
Model capability: thinkingModel capability: function_call
Input:
$0.6/1M tokensstarting from
Output:
$2.6/1M tokensstarting from
glm-4.7-flashx
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glm-4.7-flashx

The lightweight, high-speed version of GLM-4.7—a language model that balances performance and cost-effectiveness.
Model
LLM
Model capability: thinkingModel capability: function_call
Input:
$0.0715/1M tokens
Output:
$0.429/1M tokens
glm-4.7
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glm-4.7

Zhipu’s flagship text model, covering complex task solving and efficient creation across multiple scenarios.
Model
LLM
Model capability: thinkingModel capability: function_call
Input:
$0.286/1M tokensstarting from
Output:
$1.142/1M tokensstarting from
glm-4.6v
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glm-4.6v

Zhipu High-Performance Visual Understanding Model
Model
LLM
Model capability: imageModel capability: function_call
Input:
$0.145/1M tokensstarting from
Output:
$0.43/1M tokensstarting from
glm-for-coding
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glm-for-coding

Use in three folds in Claude Code
Model
LLM
Model capability: thinkingModel capability: function_call
Input:
$0.086/1M tokensstarting from
Output:
$0.343/1M tokensstarting from
glm-4.6
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glm-4.6

Zhipu AI’s flagship language model supports complex agent tasks and high-precision code generation.
Model
LLM
Model capability: thinkingModel capability: function_call
Input:
$0.286/1M tokensstarting from
Output:
$1.142/1M tokensstarting from
glm-4.5v
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glm-4.5v

Multimodal Visual Reasoning Model Based on the MOE Architecture
Model
LLM
Model capability: imageModel capability: function_call
Input:
$0.29/1M tokensstarting from
Output:
$0.86/1M tokensstarting from
glm-4.5-airx
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glm-4.5-airx

GLM-4.5 series: lightweight, high-performance, ultra-fast response models
Model
LLM
Model capability: function_call
Input:
$0.572/1M tokensstarting from
Output:
$1.714/1M tokensstarting from
glm-4.5-air
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glm-4.5-air

GLM-4.5 series: high-cost-performance, lightweight, and high-performance model
Model
LLM
Model capability: function_call
Input:
$0.1143/1M tokensstarting from
Output:
$0.286/1M tokensstarting from
glm-4.5-x
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glm-4.5-x

GLM-4.5 series high-performance, strong inference, ultra-fast response model
Model
LLM
Model capability: function_call
Input:
$1.143/1M tokensstarting from
Output:
$2.29/1M tokensstarting from
glm-4.5
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glm-4.5

The 355-billion-parameter MoE large model launched by Zhipu integrates inference, programming, and tool-call capabilities natively.
Model
LLM
Model capability: function_call
Input:
$0.286/1M tokensstarting from
Output:
$1.143/1M tokensstarting from
glm-4-flash-250414
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glm-4-flash-250414

The language model launched by Zhipu AI focuses on real-time web retrieval, long-context processing, and multilingual support.
Model
LLM
Model capability: function_call
Input:
$0.0014/1M tokens
Output:
$0.0014/1M tokens