morph/morph-v3-large
262,144 context · $0.90/M input tokens · $1.90/M output tokens
Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code>...
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：
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="morph/morph-v3-large",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)morph morph-v3-large
| Specification | Value |
|---|---|
| Provider | Morph |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 262144 tokens |
| Max Output | 131072 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.10 |
| Output | $2.1 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: morph/morph-v3-large
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="morph/morph-v3-large",
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": "morph/morph-v3-large",
"messages": [{"role": "user", "content": "Hello!"}]
}'morph/morph-v3-large
Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code>...
输入
$0.9 /M
输出
$1.9 /M
上下文
262K
最大输出
131K
通过我们的统一 API 接入 Morph V3 Large — 兼容 OpenAI、无冷启动、透明计费。
WaveSpeedAI 定价:输入每百万 token $0.90,输出每百万 token $1.90。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。
Morph V3 Large 单次请求最多支持 262K 上下文 token,输出最多 131K token。
是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Morph V3 Large。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。
登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Morph V3 Large。