Z.ai: GLM 4.5 (Thinking)
glm-4.5:thinking
GLM 4.5 (Thinking) costs $0.780 per million input tokens and $2.86 per million output tokens, supports 128K context, and is available through the OpenAI-compatible API.
GLM-4.5 with thinking mode for enhanced reasoning; provides chain-of-thought style internal reasoning with a 128k context window.
Modalities
Text → Text
Input / output price
$0.780 / $2.86 per 1M
Context
128K · max output 66K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $0.780 |
| Output | $2.86 |
| Cached input | $0.143 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00463
- Per day
- $2.31
- Per month (30 days)
- $69.42
GLM 4.5 (Thinking): input $0.78/M · output $2.86/M · cached input $0.143/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "glm-4.5: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-4.5:thinking.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-4.5: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 4.5 (Thinking) billed?
- Input is $0.780 and output is $2.86 per million tokens; cached input is $0.143. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 128K 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.