What is GLM 4.7 Flash API?
GLM 4.7 Flash is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 202,752 tokens / Max output: 16,384 tokens
- Endpoint: /chat/completions
Performance Benchmarks
[embed]
GLM 4.7 Flash API Pricing
- Input: $0.078 / 1M tokens
- Output: $0.52 / 1M tokens
Where to Use GLM 4.7 Flash
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
[embed]
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
GLM 4.7 Flash is documented as suited to dialogue, instruction-following, and multi-turn tool calling across 100+ languages.
It is also recommended for coding and programming work, including frontend and backend tasks.
For broader general use, it is documented for Chinese writing, translation, long-context tasks, and emotional or role-playing tasks.
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.
