Novita AI (GLM-5.3 Flash)

Overview

GLM-5.3 Flash is a multimodal reasoning model from Z.ai optimized for efficient inference. It supports text and image input with function calling and structured output, and handles a 1M token context window with up to 128K output tokens — served via Novita AI serverless inference. This circuit provides an OpenAI-compatible chat completion endpoint backed by the zai-org/glm-5.3-flash model.

Inputs

1. Messages (messages)

• Description: A list of messages comprising the conversation so far. For image input, content must be an array of content parts (e.g., [{type: text, text: ...}, {type: image_url, image_url: {url: ...}}]).
• Type: array
• Required: Yes

2. Attachment (attachment)

• Description: Optional image attachment (blob ID or URL). When provided, the image is injected into the first message's content array as an image_url content part.
• Type: blob
• Default Value: null
• Required: No

3. Max Tokens (max_tokens)

• Description: The maximum number of tokens to generate in the completion. GLM-5.3 Flash supports up to 128000.
• Type: number
• Default Value: 128000
• Required: No

4. Temperature (temperature)

• Description: Sampling temperature, controls randomness. Range [0.0, 2.0]. Lower values are more deterministic.
• Type: number
• Default Value: 1
• Required: No

5. Top-p (top_p)

• Description: Nucleus sampling. Range [0.01, 1.0]. Recommended to use either this or temperature, not both.
• Type: number
• Default Value: 0.95
• Required: No

6. Tools (tools)

• Description: A list of tools the model may call. Supports function-type tools.
• Type: array
• Default Value: []
• Required: No

7. Tool Choice (tool_choice)

• Description: Controls how the model selects a tool. auto or none.
• Type: string
• Default Value: auto
• Required: No

Outputs

1. Chat Completion Output (chat_completion_output)

• Description: The generated chat completion text — the model's final answer.
• Value: Accumulated from choices[0].delta.content stream chunks.

2. Reasoning Output (reasoning_output)

• Description: The chain-of-thought reasoning content — the model's thinking process, separate from the final answer.
• Value: Accumulated from choices[0].delta.reasoning_content stream chunks.

3. Chat Completion Tool Calls (chat_completion_tool_calls)

• Description: Tool calls made by the model (if any).
• Value: Accumulated from choices[0].delta.tool_calls stream chunks.

Try It

You can try this circuit directly in the Playground — no setup required.

Notes

1. Multimodal Input: GLM-5.3 Flash supports both text and image input. Use the attachment input to inject an image into the first message's content array as an image_url content part.
2. Reasoning Always On: Reasoning is always on for GLM-5.3 Flash and cannot be disabled.
3. Long Context: Supports a 1M token context window with up to 128K output tokens.
4. Function Calling: Supports function calling and structured output via the tools and tool_choice inputs.

Enjoy .....!