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glm-5 API pricing & access
glm-5 API pricing: $0.88 per 1M tokens. Zhipu general-purpose LLM — strong at reasoning, coding and tool calling, with multimodal …
glm-5 API access
Zhipu general-purpose LLM — strong at reasoning, coding and tool calling, with multimodal input and an ultra-long context window.
Compare supported API endpoints and capabilities, then access glm-5 through the unified API gateway.
- Category
- text
- Context length
- 204800 tokens
- Supported APIs
- OpenAI Chat Completions API, Anthropic Messages API
- API endpoints
- POST /v1/chat/completions, POST /v1/messages
- Input modalities
- text, image
- Output modalities
- text
- Capabilities
- function calling, reasoning, vision
glm-5 API pricing
- Base input price
- $0.88 per 1M tokens
- Base output price
- $2.816 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
Zhipu general-purpose LLM — strong at reasoning, coding and tool calling, with multimodal input and an ultra-long context window.
Use cases and prompting
Use cases to explore
- Draft and revise text with explicit audience, tone and format requirements.
- Summarize supplied documents and compare answers against the original sources.
Practical tips
Separate instructions from source material, describe the desired output and provide an example. Test tool use or structured output only when listed as supported.
Example prompt
Summarize the following document in five bullet points. Separate confirmed facts from open questions, cite the relevant passages and do not invent missing information. Document: [paste your text]
How to call glm-5
glm-5 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", "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",
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",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)Related pages
Frequently asked questions about glm-5
What is glm-5?
Zhipu general-purpose LLM — strong at reasoning, coding and tool calling, with multimodal input and an ultra-long context window.
How do I call glm-5?
Create an API key with access to glm-5, 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 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.
What is the context window of glm-5?
The model catalog lists a context window of 204800 tokens. Check the selected endpoint for request limits.
How should I evaluate glm-5 for my project?
Separate instructions from source material, describe the desired output and provide an example. Test tool use or structured output only when listed as supported.