qwen/qwen2.5-vl-72b-instruct
发布时间: 2025-02-01
32,000 context · $0.25/M input tokens · $0.75/M output tokens
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
按量付费
无需预付费用,仅按实际使用量付费
使用以下代码示例接入我们的 API:
import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'qwen/qwen2.5-vl-72b-instruct',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'qwen/qwen2.5-vl-72b-instruct',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}qwen/qwen2.5-vl-72b-instruct
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
输入
$0.25 /M
输出
$0.75 /M
上下文
32K
Vision
支持
通过我们的统一 API 接入 Qwen2.5 Vl 72b Instruct — 兼容 OpenAI、无冷启动、透明计费。
WaveSpeedAI 定价:输入每百万 token $0.25,输出每百万 token $0.75。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。
Qwen2.5 Vl 72b Instruct 单次请求最多支持 32K 上下文 token,输出最多 — token。
WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容 Chat Completions 接口提供 Qwen2.5 Vl 72b Instruct。大多数 OpenAI SDK 客户端只需更换 base URL 和 API Key;可选字段取决于具体模型。
登录 WaveSpeedAI,在 Access Keys 中创建 API Key,然后使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。模型可用性、能力和价格请以当前模型目录为准。