ai21/jamba-large-1.7
发布时间: 2025-08-09
256,000 context · $2.00/M input tokens · $8.00/M output tokens
Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...
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: 'ai21/jamba-large-1.7',
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: 'ai21/jamba-large-1.7',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}ai21 jamba-large-1.7
| Specification | Value |
|---|---|
| Provider | Ai21 |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 256000 tokens |
| Max Output | 4096 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $2.2 |
| Output | $8.8 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: ai21/jamba-large-1.7
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="ai21/jamba-large-1.7",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "ai21/jamba-large-1.7",
"messages": [{"role": "user", "content": "Hello!"}]
}'
ai21/jamba-large-1.7
Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...
输入
$2 /M
输出
$8 /M
上下文
256K
最大输出
4K
工具调用
支持
通过我们的统一 API 接入 Jamba Large 1.7 — 兼容 OpenAI、无冷启动、透明计费。
WaveSpeedAI 定价:输入每百万 token $2.00,输出每百万 token $8.00。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。
Jamba Large 1.7 单次请求最多支持 256K 上下文 token,输出最多 4K token。
WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容 Chat Completions 接口提供 Jamba Large 1.7。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。