z-ai/glm-4.7-flash
202,752 context · $0.06/M input tokens · $0.40/M output tokens
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
Pago por uso
Sin costos iniciales, paga solo por lo que uses
Usa los siguientes ejemplos de código para integrar con nuestra 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="z-ai/glm-4.7-flash",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)As a 30B-class SOTA model, GLM-4
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
| Specification | Value |
|---|---|
| Provider | Z-Ai |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 202752 tokens |
| Max Output | tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.4 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: z-ai/glm-4.7-flash
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="z-ai/glm-4.7-flash",
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": "z-ai/glm-4.7-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'z-ai/glm-4.7-flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
Entrada
$0.06 /M
Salida
$0.4 /M
Contexto
203K
Uso de herramientas
Compatible
Accede a GLM 4.7 Flash mediante nuestra API unificada — compatible con OpenAI, sin arranques en frío, precios transparentes.
Precios en WaveSpeedAI: $0.06 por millón de tokens de entrada y $0.40 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.
GLM 4.7 Flash admite hasta 203K tokens de contexto y hasta — tokens de salida por solicitud.
Sí. WaveSpeedAI expone GLM 4.7 Flash a través de un endpoint compatible con OpenAI en https://llm.wavespeed.ai/v1. Apunta el SDK oficial de OpenAI a esta base URL con tu clave API de WaveSpeedAI — sin más cambios de código.
Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Las cuentas nuevas reciben créditos gratuitos para evaluar GLM 4.7 Flash antes de pagar por token.