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Meta Models ​

Target Outcome ​

Model identity, modalities, capabilities, token limits, and protocols are maintained consistently for reuse by templates and model publication.

Applicable Roles ​

  • Platform Operator

Before You Start ​

  • Confirm the model author, unique identifier, type, modalities, capabilities, and official limits.
  • Use authoritative provider documentation as the source for protocol and token values.

Procedure ​

  1. From the platform home page, select Meta Models in the left navigation.
  2. Select Add above the model-author list.

Review the meta-model list

  1. Configure the model author:
    • Enter a stable Unique Identifier, such as qwen.
    • Maintain English and Chinese Display Names, such as Qwen and 通义千问.
    • Upload the application icon.
  2. Review the information and select Confirm, or Cancel to discard it.

Select the model author

Parameter Reference - Model Author ​

FieldTypeExampleDescription
Unique IdentifierTextqwenRequired; stable author identifier
Display NameLocalized textQwen / 通义千问Required; maintain English and Chinese values
Application IconImageQwen brand iconRequired; author icon

Add a Meta-Model ​

  1. Select the target author and select + Add in the meta-model list.
  2. Complete the basic information:
    • Select the model author.
    • Enter the model name and series.
    • Enter the unique identifier, such as qwen/qwen3.6-plus.
    • Select the application scenario.
    • Select Enabled or Disabled.
    • Enter the official release date.
    • Maintain the English and Chinese model descriptions in the localized rich-text editor.

Configure basic meta-model information

  1. Under Model Type and Subtype, select every type supported by the model: Multimodal, Chat, Image, Speech, Video, Embedding, or Rerank.

Configure model type and variants

  1. Under Input / Output Modalities, select the verified Text, Image, Audio, and Video inputs and outputs.

Configure input and output modalities

  1. Under Advanced Capabilities, enable Thinking Mode only when the model has been verified to support it. Function Calling and Tool Support remain planned capabilities and must not be configured as currently available features.

Configure advanced capabilities

  1. Enter maximum context, maximum input, and maximum output values under Token Limits.

Configure token limits

  1. Under Official Native Protocols and Default Parameters, enable supported protocols such as OpenAI Chat Completions, OpenAI Responses, or Anthropic Messages. Enter each endpoint and configure inputs such as Temperature, Top-P, N, Stream, Max Tokens, Presence Penalty, Frequency Penalty, User, and Seed.

Configure the official native protocol

  1. Select Next.
  2. Enter complete model details in the rich-text editor.

Review meta-model details

  1. Review the configuration and select Submit.

Parameter Reference - Meta-Model ​

FieldTypeExampleDescription
Model AuthorSelectQwenRequired; model author
NameTextQwen3.6-PlusRequired; meta-model name
SeriesTextQwen3.6Required; model series
Unique IdentifierTextqwen/qwen3.6-plusRequired; stable system identifier
ScenarioSelectLanguage and Text / Text GenerationRequired; application scenario
StatusSelectEnabled / DisabledRequired; model availability
Official Release DateDate2026-04-02Required; provider release date
Localized DescriptionLocalized rich textEnglish and Chinese descriptionsRequired; localized introduction
Model TypeMulti-selectMultimodal / Chat / Image / Speech / Video / Embedding / RerankRequired; verified model types
Input ModalitiesMulti-selectText / Image / Audio / VideoRequired; accepted input types
Output ModalitiesMulti-selectText / Image / Audio / VideoRequired; result types
Function / Tool SupportPlanned statePlannedNot available as a current configuration
Thinking ModeSwitchOn / OffOptional; enable only when verified
Maximum ContextNumber1024KRequired; context-token limit
Maximum InputNumber991KRequired; input-token limit
Maximum OutputNumber64KRequired; output-token limit
OpenAI Chat CompletionsSwitch and protocol IDopenai/chat_completionsRequired when supported; configure endpoint and inputs
OpenAI ResponsesSwitch and protocol IDopenai/responsesRequired when supported; configure endpoint and inputs
Anthropic MessagesSwitch and protocol IDanthropic/messagesRequired when supported; configure endpoint and inputs
EndpointURL/compatible-mode/v1/chat/completionsRequired; protocol endpoint path
Input ParametersParameter listTemperature / Top-P / N / Stream / Max Tokens / Presence Penalty / Frequency Penalty / User / SeedOptional; protocol inputs and required-state settings
Meta-Model DetailsRich textFeatures and parameter descriptionRequired; complete model description

Completion Checklist ​

Purpose: These are the exit criteria for the current feature task. Use them to decide whether the result is observable and reviewable and whether you can continue to the next step in the scenario. They do not repeat the procedure; if any item fails, follow the troubleshooting section below.

CheckPass Criteria
1Unique identifier, modalities, capabilities, and token limits are accurate.
2At least one supported protocol and its parameters are complete.
3Model templates can select the meta-model.

Troubleshooting ​

SymptomCheck First
The meta-model is unavailable during publicationStatus, author association, unique identifier, and template linkage
Calls exceed token limitsContext, input, output, modality, and protocol limits

User Manual ​

Review complete fields and common issues for Meta Models