AiHubMix Documentation Hub

GET

api

models

Model Management API

curl --request GET \
  --url https://aihubmix.com/api/v1/models \
  --header 'Authorization: Bearer <token>'

{
  "data": [
    {}
  ],
  "model_id": "<string>",
  "desc": "<string>",
  "types": "<string>",
  "features": "<string>",
  "input_modalities": "<string>",
  "max_output": "<string>",
  "context_length": "<string>",
  "pricing": {},
  "pricing.input": 123,
  "pricing.output": 123,
  "pricing.cache_read": 123,
  "pricing.cache_write": 123
}

New API Version

Get Informações dos Modelos

Endpoint: GET https://aihubmix.com/api/v1/models Description: Fetches detailed information for all available models.

Model Object Field Descriptions

data

array

An array of model information objects.

model_id

string

The unique identifier for the model.

desc

string

A description of the model’s functionality (in English).

types

string

Model type. Supported values: llm (Large Language Model), image_generation, video, tts (Text-to-Speech), stt (Speech-to-Text), embedding, rerank.

features

string

Supported features. Supported values: thinking (reasoning), tools (tool use), function_calling, web (web search), deepsearch, long_context, structured_outputs.

input_modalities

string

Supported input modalities. Supported values: text, image, audio, video, pdf.

max_output

string

Maximum number of output tokens.

context_length

string

Context window size (maximum number of input tokens).

pricing

object

Pricing information object.

pricing.input

number

Input token price (per 1K tokens, in USD).

pricing.output

number

Output token price (per 1K tokens, in USD).

pricing.cache_read

number

Cache read price (per 1K tokens, in USD, optional field).

pricing.cache_write

number

Cache write price (per 1K tokens, in USD, optional field).

Request Examples

import requests

# API Endpoint
url = "https://aihubmix.com/api/v1/models"

response = requests.get(url)
print(response.json())

# Example with parameters
params = {
    "type": "llm",                   
	"modalities": "text",
	"model": "gpt-5",
	"features": "thinking",
    "sort_by": "context_length",
    "sort_order": "desc"    
}
response = requests.get(url, params=params)
print(response.json())

Request Parameter Descriptions (for Filtering)

type

string

Model type. Supported values: llm (Large Language Model), image_generation, video, tts (Text-to-Speech), stt (Speech-to-Text), embedding, rerank.

modalities

string

Input modalities. Supported values: text, image, audio, video, pdf. Suporta multi-modality queries (comma-separated).

model

string

Fuzzy search for model name (suporta partial matching).

features

string

Model features. Supported values: thinking (reasoning), tools (tool use), function_calling, web (web search), deepsearch, long_context, structured_outputs. Suporta multi-feature queries (comma-separated).

sort_by

string

Sort by field. Supported values:

model_ratio: Sort by cost-effectiveness.
context_length: Sort by context length.
coding: Prioritize coding models.
order: Sort by default order.

sort_order

string

Sort order. Supported values:

asc (ascending)
desc (descending)

Successful Response Example

{
    "data": [
        {
            "model_id": "gpt-5",
            "desc": "GPT-5 is OpenAI's flagship model for coding, reasoning, and agentic tasks across domains.",
            "pricing": {
                "cache_read": 0.125,
                "input": 1.25,
                "output": 10
            },
            "types": "llm",
            "features": "thinking,tools,function_calling,structured_outputs",
            "input_modalities": "text,image",
            "max_output": 128000,
            "context_length": 400000
        },
        {
            "model_id": "gpt-5-codex",
            "desc": "GPT-5-Codex is a version of GPT-5 optimized for autonomous coding tasks in Codex or similar environments. It is only available in the Responses API, and the underlying model snapshots will be updated regularly. https://docs.aihubmix.com/en/api/Responses-API You can also use it in codex-cll; see https://docs.aihubmix.com/en/api/Codex-CLI for using codex-cll through Aihubmix.",
            "pricing": {
                "cache_read": 0.125,
                "input": 1.25,
                "output": 10
            },
            "types": "llm",
            "features": "thinking,tools,function_calling,structured_outputs",
            "input_modalities": "text,image",
            "max_output": 128000,
            "context_length": 400000
        }
    ],
    "message": "",
    "success": true
}

Usage Scenario Examples

GET https://aihubmix.com/api/v1/models?type=llm

Note: When using smart sort for coding models, the system will prioritize models tagged with coding, and other models will be listed no default order.

Performance Optimization

Caching Mechanism

Cache Policy: HTTP caching, cache duration 300 seconds (5 minutes).
Cache Control: Cache-Control: public, max-age=300, stale-while-revalidate=300
Content Validation: Suporta ETag content hash validation.

Cache Usage Example

# Conditional request using ETag
curl -H "If-None-Match: \"abc123...\"" \
     https://aihubmix.com/api/v1/models

If the content has not been updated, the server returns a 304 Not Modified status code.

Error Handling

{
  "success": false,
  "message": "Invalid request parameter format"
}

Observações Importantes

Data Integrity: This endpoint returns all models that meet the criteria, without pagination.
Type Compatibility: Suporta automatic mapping between new and old type identifiers:
- t2t ↔ llm
- t2i ↔ image_generation
- t2v ↔ video
- reranking ↔ rerank
Filtering Logic: Multiple filter conditions are combined with a logical AND.
Sorting Rule: When no sorting method is specified, models are arranged no system’s default order.

Legacy API Version

⚠️ Note: O seguinte are legacy API endpoints. Recomenda-se to use the new API version for better performance and features.

Get Model List

Endpoint: GET /v1/models

If a user is logged in, it retrieves the list of available models for the user’s group. If no user is logged in, it retrieves the list for the default group.
If the header contains an Authorization field, it queries the list of models configured for the corresponding token.

Response Example:

{
  "data": [
    {
      "id": "gpt-4o-mini",
      "object": "model",
      "created": 1626777600,
      "owned_by": "OpenAI",
      "permission": [
        {
          "id": "modelperm-LwHkVFn8AcMItP432fKKDIKJ",
          "object": "model_permission",
          "created": 1626777600,
          "allow_create_engine": true,
          "allow_sampling": true,
          "allow_logprobs": true,
          "allow_search_indices": false,
          "allow_view": true,
          "allow_fine_tuning": false,
          "organization": "*",
          "group": null,
          "is_blocking": false
        }
      ],
      "root": "gpt-4o-mini",
      "parent": null
    }
  ]
}

Response

Código de Status	Meaning	Description	Modelo de Dados
200	OK	none	Inline

Response Data Structure

Código de Status 200

Name	Type	Required	Description
» data	[object]	true	none
»» id	string	true	Model ID
»» object	string	true	`model`
»» created	integer	true	Timestamp of creation
»» owned_by	string	true	Developer
»» permission	[object]¦null	true	none
»»» id	string	true	none
»»» object	string	true	none
»»» created	integer	true	none
»»» allow_create_engine	boolean	true	none
»»» allow_sampling	boolean	true	none
»»» allow_logprobs	boolean	true	none
»»» allow_search_indices	boolean	true	none
»»» allow_view	boolean	true	none
»»» allow_fine_tuning	boolean	true	none
»»» organization	string	true	none
»»» group	null	true	none
»»» is_blocking	boolean	true	none
»» root	string	true	Root model name
»» parent	null	true	Parent model

Get Informações dos Modelos

Endpoint: GET /v1/models/:model

Parâmetros da Requisição

Name	In	Type	Required	Description
model	path	string	true	Model ID

Response Example:

200 Response

{
  "id": "string",
  "object": "string",
  "created": 0,
  "owned_by": "string",
  "permission": [
    {
      "id": "string",
      "object": "string",
      "created": 0,
      "allow_create_engine": true,
      "allow_sampling": true,
      "allow_logprobs": true,
      "allow_search_indices": true,
      "allow_view": true,
      "allow_fine_tuning": true,
      "organization": "string",
      "group": null,
      "is_blocking": true
    }
  ],
  "root": "string",
  "parent": null
}

Response

Código de Status	Meaning	Description	Modelo de Dados
200	OK	none	Inline

Response Data Structure

Código de Status 200

Name	Type	Required	Description
id	string	true	Model ID
object	string	true	`model`
created	integer	true	Timestamp of creation
owned_by	string	true	Developer
permission	[object]	true	none
» id	string	false	none
» object	string	false	none
» created	integer	false	none
» allow_create_engine	boolean	false	none
» allow_sampling	boolean	false	none
» allow_logprobs	boolean	false	none
» allow_search_indices	boolean	false	none
» allow_view	boolean	false	none
» allow_fine_tuning	boolean	false	none
» organization	string	false	none
» group	null	false	none
» is_blocking	boolean	false	none
root	string	true	Root model name
parent	null	true	Parent model

Última atualização: 2026-06-01

Informações do Usuário AtualRecupera informações do usuário atual e o saldo da conta

Model Management API

curl --request GET \
  --url https://aihubmix.com/api/v1/models \
  --header 'Authorization: Bearer <token>'

{
  "data": [
    {}
  ],
  "model_id": "<string>",
  "desc": "<string>",
  "types": "<string>",
  "features": "<string>",
  "input_modalities": "<string>",
  "max_output": "<string>",
  "context_length": "<string>",
  "pricing": {},
  "pricing.input": 123,
  "pricing.output": 123,
  "pricing.cache_read": 123,
  "pricing.cache_write": 123
}

Documentation Index

​New API Version

​Get Informações dos Modelos

​Model Object Field Descriptions

​Request Examples

​Request Parameter Descriptions (for Filtering)

​Successful Response Example

​Usage Scenario Examples

​Performance Optimization

​Caching Mechanism

​Cache Usage Example

​Error Handling

​Observações Importantes

​Legacy API Version

​Get Model List

​Response

​Response Data Structure

​Get Informações dos Modelos

​Parâmetros da Requisição

​Response

​Response Data Structure

New API Version

Get Informações dos Modelos

Model Object Field Descriptions

Request Examples

Request Parameter Descriptions (for Filtering)

Successful Response Example

Usage Scenario Examples

Performance Optimization

Caching Mechanism

Cache Usage Example

Error Handling

Observações Importantes

Legacy API Version

Get Model List

Response

Response Data Structure

Get Informações dos Modelos

Parâmetros da Requisição

Response

Response Data Structure