/api/v1/models
curl --request GET \
--url https://api.venice.ai/api/v1/models \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.venice.ai/api/v1/models"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.venice.ai/api/v1/models', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.venice.ai/api/v1/models",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.venice.ai/api/v1/models"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.venice.ai/api/v1/models")
.header("Authorization", "Bearer <token>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.venice.ai/api/v1/models")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'
response = http.request(request)
puts response.read_body{
"data": [
{
"created": 1727966436,
"id": "llama-3.2-3b",
"model_spec": {
"availableContextTokens": 131072,
"capabilities": {
"optimizedForCode": false,
"quantization": "fp16",
"supportsAudioInput": false,
"supportsFunctionCalling": true,
"supportsLogProbs": true,
"supportsMultipleImages": false,
"supportsReasoning": false,
"supportsReasoningEffort": false,
"supportsResponseSchema": true,
"supportsTeeAttestation": false,
"supportsE2EE": false,
"supportsVision": false,
"supportsVideoInput": false,
"supportsWebSearch": true,
"supportsXSearch": false
},
"constraints": {
"temperature": {
"default": 0.8
},
"top_p": {
"default": 0.9
}
},
"description": "Compact and efficient model for quick responses and lighter workloads.",
"name": "Llama 3.2 3B",
"modelSource": "https://huggingface.co/meta-llama/Llama-3.2-3B",
"offline": false,
"privacy": "private",
"pricing": {
"input": {
"usd": 0.15,
"diem": 0.15
},
"output": {
"usd": 0.6,
"diem": 0.6
}
},
"traits": [
"fastest"
]
},
"object": "model",
"owned_by": "venice.ai",
"type": "text"
}
],
"object": "list",
"type": "text"
}{
"error": "<string>"
}Models
모델 목록
Returns a list of available models supported by the Venice.ai API across text, image, audio, video, and related inference types.
GET
/
models
/api/v1/models
curl --request GET \
--url https://api.venice.ai/api/v1/models \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.venice.ai/api/v1/models"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.venice.ai/api/v1/models', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.venice.ai/api/v1/models",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.venice.ai/api/v1/models"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.venice.ai/api/v1/models")
.header("Authorization", "Bearer <token>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.venice.ai/api/v1/models")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'
response = http.request(request)
puts response.read_body{
"data": [
{
"created": 1727966436,
"id": "llama-3.2-3b",
"model_spec": {
"availableContextTokens": 131072,
"capabilities": {
"optimizedForCode": false,
"quantization": "fp16",
"supportsAudioInput": false,
"supportsFunctionCalling": true,
"supportsLogProbs": true,
"supportsMultipleImages": false,
"supportsReasoning": false,
"supportsReasoningEffort": false,
"supportsResponseSchema": true,
"supportsTeeAttestation": false,
"supportsE2EE": false,
"supportsVision": false,
"supportsVideoInput": false,
"supportsWebSearch": true,
"supportsXSearch": false
},
"constraints": {
"temperature": {
"default": 0.8
},
"top_p": {
"default": 0.9
}
},
"description": "Compact and efficient model for quick responses and lighter workloads.",
"name": "Llama 3.2 3B",
"modelSource": "https://huggingface.co/meta-llama/Llama-3.2-3B",
"offline": false,
"privacy": "private",
"pricing": {
"input": {
"usd": 0.15,
"diem": 0.15
},
"output": {
"usd": 0.6,
"diem": 0.6
}
},
"traits": [
"fastest"
]
},
"object": "model",
"owned_by": "venice.ai",
"type": "text"
}
],
"object": "list",
"type": "text"
}{
"error": "<string>"
}품질 등급 가격
선택적quality 매개변수를 허용하는 이미지 모델(현재 gpt-image-2 및 gpt-image-2-edit)의 경우, 응답은 model_spec.pricing.quality 아래에 품질별 가격 매트릭스를 노출합니다. 각 최상위 키는 해상도 등급(1K, 2K, 4K)이고 각 중첩 키는 자체 usd 및 diem 가격을 가진 품질 수준(low, medium, high)입니다:
"pricing": {
"resolutions": {
"1K": { "usd": 0.27, "diem": 0.27 },
"2K": { "usd": 0.51, "diem": 0.51 },
"4K": { "usd": 0.84, "diem": 0.84 }
},
"quality": {
"1K": {
"low": { "usd": 0.02, "diem": 0.02 },
"medium": { "usd": 0.07, "diem": 0.07 },
"high": { "usd": 0.26, "diem": 0.26 }
},
"2K": {
"low": { "usd": 0.03, "diem": 0.03 },
"medium": { "usd": 0.13, "diem": 0.13 },
"high": { "usd": 0.50, "diem": 0.50 }
},
"4K": {
"low": { "usd": 0.05, "diem": 0.05 },
"medium": { "usd": 0.21, "diem": 0.21 },
"high": { "usd": 0.83, "diem": 0.83 }
}
}
}
pricing.resolutions는 이전 버전과의 호환성을 위해 유지되는 레거시 이미지별 일정입니다. pricing.quality는 quality 매개변수가 지원될 때마다 적용되는 (해상도, 품질)별 매트릭스입니다. 클라이언트가 품질 지원을 감지하고 자체 UI에 매트릭스를 표시할 수 있도록 두 필드는 응답에 유지됩니다.
Postman 컬렉션
추가 예제는 이 Postman 컬렉션을 참조하세요.인증
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
쿼리 매개변수
Filter models by type. Use "all" to get all model types.
사용 가능한 옵션:
asr, embedding, image, music, text, tts, upscale, inpaint, video 예시:
"text"
⌘I