/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
列出模型
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>"
}质量等级定价
对于接受可选quality 参数的图像模型(当前为 gpt-image-2 和 gpt-image-2-edit),响应在 model_spec.pricing.quality 下提供按质量划分的价格矩阵。每个顶级键是一个分辨率等级(1K、2K、4K),每个嵌套键是一个质量等级(low、medium、high),各自带有自己的 usd 和 diem 价格:
"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.resolutions 是为向后兼容而保留的旧版按图像价格表。pricing.quality 是按(分辨率,质量)组合的矩阵,每当 quality 参数被支持时即适用。两个字段都会保留在响应中,以便客户端检测质量支持并在自己的 UI 中展示该矩阵。
Postman 集合
如需更多示例,请参阅此 Postman 集合。授权
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
查询参数
Filter models by type. Use "all" to get all model types.
可用选项:
asr, embedding, image, music, text, tts, upscale, inpaint, video 示例:
"text"
⌘I