tbuy
glm-5-turbo API pricing & access
glm-5-turbo API pricing: $1.2 per 1M tokens. Compare supported endpoints, capabilities and access options on tbuy.
glm-5-turbo API access
Compare supported API endpoints and capabilities, then access glm-5-turbo through the unified API gateway.
- Category
- text
- Supported APIs
- OpenAI Chat Completions API, Anthropic Messages API
- API endpoints
- POST /v1/chat/completions, POST /v1/messages
glm-5-turbo API pricing
- Base input price
- $1.2 per 1M tokens
- Base output price
- $3.9996 per 1M tokens
Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.
About glm-5-turbo
GLM-5-Turbo is Z.ai’s text model optimized for OpenClaw-style workflows, with documented emphasis on tool calling, instruction following and long execution chains.
The model does not itself provide application scheduling, persistence or permissions. The runtime supplies those facilities; validate route support and checkpointed task completion. Official reference, checked 2026-10-14.
Use cases and prompting
- Specify triggers, input sources and deliverables, then request an execution plan.
- Persist checkpoints in the runtime and restore completed actions to avoid repetition.
- Start tool integration with read-only queries and verify arguments, results and actual permissions.
- Compare identical cases with glm-5.3; record complete outputs, failures and actual usage. See the API documentation for integration.
How to call glm-5-turbo
glm-5-turbo is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.
curl (OpenAI-compatible)
curl https://modelsok.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "glm-5-turbo", "messages": [{"role": "user", "content": "Hello"}]}'Python (openai SDK)
from openai import OpenAI
client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="glm-5-turbo",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Python (anthropic SDK)
from anthropic import Anthropic
client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
model="glm-5-turbo",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)Related pages
Frequently asked questions about glm-5-turbo
What is glm-5-turbo?
Use glm-5-turbo through the API endpoints listed on this page. Compare its configured capabilities and supplier prices before choosing an integration.
How do I call glm-5-turbo?
Create an API key with access to glm-5-turbo, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is glm-5-turbo priced?
Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.
How should I evaluate glm-5-turbo for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.