What is GLM 4.6V API?
GLM 4.6V is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 131,072 tokens / Max output: 32,768 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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GLM 4.6V API Pricing
- Input: $0.39 / 1M tokens
- Output: $1.17 / 1M tokens
Where to Use GLM 4.6V
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
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Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
GLM-4.6V is documented as suitable for reading and summarizing long documents, scans, and entire slide decks. It is also suited to identifying and interpreting chart and dashboard screenshots.
The model is documented for frontend and design workflows, including generating or modifying frontend code based on UI screenshots. It is also suited to visual search and multimodal agent tasks that combine images with web retrieval or tools like browser, code execution, and retrieval to complete complex tasks.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "z-ai/glm-4.6v", "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-4.6v", "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-4.6v","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 |
|---|---|---|---|---|
| OSWorld | 37.2% | Computer-use across real desktop applications | Source | July 12, 2026 |
| MMMU | 76% | College-level multimodal understanding + reasoning | Source | July 12, 2026 |
| Intelligence | 11.2 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Math | 85.3 | Composite score across standardised mathematics evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
GLM 4.6V This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
GLM 4.6V has a 131,072 tokens context window and can return up to 32,768 tokens.
GLM 4.6V takes image, text as input and returns text.
Use z-ai/glm-4.6v as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GLM 4.6V is priced at input $0.41262 / 1M tokens, output $1.23786 / 1M tokens, cached input $0.075647 / 1M tokens.
Yes, GLM 4.6V can stream responses as they are generated.
Yes, GLM 4.6V accepts image input alongside text.
GLM 4.6V was built by Zhipu AI.
Yes. It supports function calling, tool use, and parallel tool calls.
