Z.ai: GLM 5.2 Thinking Private
glm-5.2-private:thinking
GLM 5.2 Thinking Private costs $1.63 per million input tokens and $5.13 per million output tokens, supports 1.05M context, and is available through the OpenAI-compatible API.
GLM-5.2 with thinking enabled for harder long-horizon coding, autonomous agent workflows, and complex engineering tasks.
Modalities
Text → Text
Input / output price
$1.63 / $5.13 per 1M
Context
1.05M · max output 131K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $1.63 |
| Output | $5.13 |
| Cached input | $0.163 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00898
- Per day
- $4.49
- Per month (30 days)
- $134.75
GLM 5.2 Thinking Private: input $1.625/M · output $5.135/M · cached input $0.1625/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "glm-5.2-private:thinking", "max_tokens": 800,
"messages": [{"role": "user", "content": "…"}]}'Code samples
OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to glm-5.2-private:thinking.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5.2-private:thinking",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'Use it in a client: Cursor · Cline · SillyTavern · Codex
Parameters
Common OpenAI parameters can be passed as-is.
temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseedFAQ
- How is GLM 5.2 Thinking Private billed?
- Input is $1.63 and output is $5.13 per million tokens; cached input is $0.163. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 1.05M tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
- Does it support streaming?
- Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.