qwen/qwen2.5-vl-72b-instruct
發布時間: 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.
按用量付費
無需預付費用,僅按實際使用量付費
使用以下程式碼範例整合我們的 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.
輸入
$0.25 /M
輸出
$0.75 /M
上下文
32K
Vision
支援
透過我們的統一 API 接入 Qwen2.5 Vl 72b Instruct — 相容 OpenAI、無冷啟動、透明計費。
WaveSpeedAI 定價:輸入每百萬 token $0.25,輸出每百萬 token $0.75。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。
Qwen2.5 Vl 72b Instruct 每次請求最多支援 32K 上下文 token,輸出最多 — token。
WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容 Chat Completions 介面提供 Qwen2.5 Vl 72b Instruct。大多數 OpenAI SDK 用戶端只需更換 base URL 和 API Key;選用欄位取決於具體模型。
登入 WaveSpeedAI,在 Access Keys 中建立 API Key,然後使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。模型可用性、能力和價格請以目前模型目錄為準。