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glm-5.2 API pricing & access

glm-5.2 API pricing: $1.4 per 1M tokens. glm-5.2. Supports text input and text output. Listed specifications follow public vendor d…

glm-5.2 API access

glm-5.2. Supports text input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

Compare supported API endpoints and capabilities, then access glm-5.2 through the unified API gateway.

Category
text
Context length
1000000 tokens
Maximum output
128000 tokens
Supported APIs
OpenAI Chat Completions API, Anthropic Messages API
API endpoints
POST /v1/chat/completions, POST /v1/messages
Input modalities
text
Output modalities
text
Capabilities
reasoning, streaming, function calling, caching, structured output

glm-5.2 API pricing

Base input price
$1.4 per 1M tokens
Base output price
$4.4 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-5.2

GLM-5.2 is a text model from Z.ai aimed at long-horizon tasks. Official material emphasizes long-context work, coding and adjustable thinking effort. Evaluate it for repository analysis, long-document synthesis and multi-step text workflows with retained intermediate results.

Use the compatible endpoints listed here and check thinking settings, tools and practical input limits on the selected route. Its text-task positioning does not imply the multimodal capabilities of GLM-5.3-Flash. Compare GLM-5.3 on the same business cases before choosing.

Official reference, checked 2026-10-14.

Use cases and prompting

  1. Label source chapters or files in long material. Require evidence locations before a synthesis.
  2. Provide dependencies, expected behavior and test cases for coding work, checking intermediate plans step by step.
  3. Validate thinking and tool fields against the route on small samples. Record omissions, rework and usage in long-context tasks.
  4. Compare text work with GLM-5.3. Evaluate GLM-5.3-Flash separately for images after checking visual input support. See the API guide.

How to call glm-5.2

glm-5.2 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-5.2", "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-5.2",
    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-5.2",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

Frequently asked questions about glm-5.2

What is glm-5.2?

glm-5.2. Supports text input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

How do I call glm-5.2?

Create an API key with access to glm-5.2, 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-5.2 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-5.2?

The model catalog lists a context window of 1000000 tokens. Check the selected endpoint for request limits.

What is the maximum output of glm-5.2?

The model catalog lists a maximum output of 128000 tokens. Your request settings may set a lower limit.

How should I evaluate glm-5.2 for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

Back to AI model API pricing