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：
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>...
輸入
$0.9 /M
輸出
$1.9 /M
上下文
262K
最大輸出
131K
透過我們的統一 API 接入 Morph V3 Large — 相容 OpenAI、無冷啟動、透明計費。
WaveSpeedAI 定價:輸入每百萬 token $0.90,輸出每百萬 token $1.90。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。
Morph V3 Large 每次請求最多支援 262K 上下文 token,輸出最多 131K token。
是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Morph V3 Large。將官方 OpenAI SDK 的 base URL 指向該位址,使用 WaveSpeedAI 的 API Key 即可,無需其他程式碼變更。
登入 WaveSpeedAI,在 Access Keys 建立 API Key,使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。新帳號將獲得免費額度,用於試用 Morph V3 Large。