import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "z-ai/glm-4.7-flash", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "z-ai/glm-4.7-flash", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"z-ai/glm-4.7-flash","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 14.9 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
GLM 4.7 Flash This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
GLM 4.7 Flash has a 202,752 tokens context window and can return up to 16,384 tokens.
GLM 4.7 Flash takes image, text as input and returns text.
Use z-ai/glm-4.7-flash as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GLM 4.7 Flash is priced at input $0.171925 / 1M tokens, output $0.6877 / 1M tokens, cached input $0.013754 / 1M tokens.
Yes, GLM 4.7 Flash can stream responses as they are generated.
Yes, GLM 4.7 Flash accepts image input alongside text.
GLM 4.7 Flash was built by Zhipu AI.
Yes, it supports function calling, parallel tool calls, and structured outputs.