List Models
GET https://api.dayaai.com/v1/modelsThis endpoint is used to retrieve information about the OpenAI-compatible models supported by the platform.
Request params
This endpoint does not require any request parameters.
Returns
Returns a JSON object containing information for all available models.
data array
An array of models, containing detailed information for all available models.
object string
The object type, fixed as "list".
data object
id string
The model’s unique identifier, in the format <provider>/<model_name>.
object string
The object type, fixed as "model".
display_name string
The model’s display name, used for UI presentation.
created integer
The model creation timestamp (Unix timestamp).
owned_by string
The model provider.
input_modalities array
The input modalities supported by the model. Possible values include:
"text"- Text input"image"- Image input"video"- Video input"audio"- Audio input"file"- File input
output_modalities array
The output modalities supported by the model. Possible values include:
"text"- Text output"image"- Image output"video"- Video output"audio"- Audio output"file"- File output
capabilities object
The model’s capabilities.
capabilities.reasoning boolean
Whether reasoning is supported. true means reasoning is supported; false means it is not.
context_length integer
The context length limit, i.e., the maximum number of tokens the model can process.
pricings object
The pricing object, containing pricing configurations for different types of usage.
pricings.prompt array
Pricing configuration array for processing input text.
pricings.completion array
Pricing configuration array for generated output text.
pricings.input_cache_read array
Pricing configuration array for reading input data from cache.
pricings.input_cache_write_5_min array
Pricing configuration array for writing to cache with a 5-minute retention.
pricings.input_cache_write_1_h array
Pricing configuration array for writing to cache with a 1-hour retention.
pricings.input_cache_write array
Pricing configuration array for writing to cache.
pricings.web_search array
Pricing configuration array for invoking web search (optional; supported by some models).
pricings.internal_reasoning array
Pricing configuration array for the model’s internal reasoning process (optional; supported by some advanced reasoning models). Additional charges apply when the model enables internal chain-of-thought or detailed reasoning processes.
pricings.video array
Pricing configuration array for video output processing (optional; models that support video understanding). Billed by video duration, resolution, or frame count.
pricings.image array
Pricing configuration array for image output processing (optional; models that support image understanding). Typically billed by image count, resolution, or pixel count.
pricings.audio array
Pricing configuration array for audio output processing (optional; models that support audio understanding). Billed by audio duration or processing volume.
pricings.audio_and_video array
Pricing configuration array for generating video content with audio (optional; models that support multimodal audio-video understanding). Applies to scenarios that require analyzing both video frames and audio content. Note: there are two video generation scenarios—silent video uses pricings.video, while video with audio uses pricings.audio_and_video.
Pricing item schema
Each pricing array within the pricings object (such as completion, prompt, etc.) contains one or more pricing configuration objects. Each pricing configuration object includes the following fields:
value number
The discounted effective price. Free services show as 0.
unit string
The pricing unit. Possible values include:
"perMTokens"- Per million tokens"perCount"- Per call"perSecond"- Per second (for time-based billing scenarios such as audio and video)
currency string
The currency type, fixed as "USD", meaning US dollars.
conditions object
Pricing conditions (optional), commonly used for tiered pricing.
conditions.prompt_tokens object
Token-usage condition for the input content provided by the user.
conditions.completion_tokens object
Token-usage condition for tokens consumed when the model generates the response.
Pricing conditions schema
When a pricing configuration includes the conditions field, it defines the specific conditions under which the price applies. The condition objects for prompt_tokens and completion_tokens include the following fields:
unit string
The token unit, fixed as "kTokens", meaning thousand tokens (1000 tokens).
gte number
Minimum token count (inclusive). The actual token count must be ≥ this value.
lte number
Maximum token count (inclusive). The actual token count must be ≤ this value.
gt number
Minimum token count (exclusive). The actual token count must be > this value.
lt number
Maximum token count (exclusive). The actual token count must be < this value; null indicates no upper bound.
{
"data": [
{
"id": "anthropic/claude-sonnet-4.5",
"object": "model",
"display_name": "Anthropic: Claude Sonnet 4.5",
"created": 1759196009,
"owned_by": "anthropic",
"input_modalities": ["text", "image", "file"],
"output_modalities": ["text"],
"capabilities": {
"reasoning": true
},
"context_length": 200000,
"pricings": {
"completion": [
{
"value": 15,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 0,
"lt": 200
}
}
},
{
"value": 22.5,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 200
}
}
}
],
"input_cache_read": [
{
"value": 0.3,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 0,
"lt": 200
}
}
},
{
"value": 0.6,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 200
}
}
}
],
"input_cache_write_1_h": [
{
"value": 6,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 0,
"lt": 200
}
}
},
{
"value": 12,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 200
}
}
}
],
"input_cache_write_5_min": [
{
"value": 3.75,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 0,
"lt": 200
}
}
},
{
"value": 7.5,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 200
}
}
}
],
"prompt": [
{
"value": 3,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 0,
"lt": 200
}
}
},
{
"value": 6,
"unit": "perMTokens",
"currency": "USD",
"conditions": {
"prompt_tokens": {
"unit": "kTokens",
"gte": 200
}
}
}
],
"web_search": [
{
"value": 0.01,
"unit": "perCount",
"currency": "USD"
}
]
}
},
{
"id": "openai/gpt-5.2",
"object": "model",
"display_name": "OpenAI: GPT-5.2",
"created": 1765438613,
"owned_by": "openai",
"input_modalities": ["image", "text", "file"],
"output_modalities": ["text"],
"capabilities": {
"reasoning": true
},
"context_length": 400000,
"pricings": {
"completion": [
{
"value": 14,
"unit": "perMTokens",
"currency": "USD"
}
],
"input_cache_read": [
{
"value": 0.175,
"unit": "perMTokens",
"currency": "USD"
}
],
"prompt": [
{
"value": 1.75,
"unit": "perMTokens",
"currency": "USD"
}
],
"web_search": [
{
"value": 0.01,
"unit": "perCount",
"currency": "USD"
}
]
}
}
],
"object": "list"
}curl https://api.dayaai.com/v1/models