What is GLM 5V Turbo API?
GLM 5V Turbo is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 202,752 tokens / Max output: 131,072 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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GLM 5V Turbo API Pricing
- Input: $1.56 / 1M tokens
- Output: $5.2 / 1M tokens
Where to Use GLM 5V Turbo
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.
Design-to-code generation from mockups, wireframes, or screenshots is a documented use case: the model can understand layout, color palette, component hierarchy, and interaction logic, then generate a runnable frontend project.
Frontend debugging from screenshots is also documented: it can identify rendering issues such as layout misalignment, component overlap, and color mismatches, then help generate fix code.
Autonomous website exploration and agent workflow support are documented use cases: it can browse target websites, map page transitions, collect visual assets and interaction details, and generate code from the exploration results.
GUI and computer-use agent tasks are documented as well: it can understand webpage layouts, GUI elements, and chart information to help an agent handle complex real-world tasks involving perception, planning, and execution.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "z-ai/glm-5v-turbo", "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-5v-turbo", "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-5v-turbo","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 | 23.5 | 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 5V Turbo This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
GLM 5V Turbo has a 202,752 tokens context window and can return up to 131,072 tokens.
GLM 5V Turbo takes image, text as input and returns text.
Use z-ai/glm-5v-turbo as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GLM 5V Turbo is priced at input $1.56 / 1M tokens, output $5.2 / 1M tokens, cached input $0.312 / 1M tokens.
Yes, GLM 5V Turbo can stream responses as they are generated.
Yes, GLM 5V Turbo accepts image input alongside text.
GLM 5V Turbo was built by Zhipu AI.
Yes, it supports function calling, tool use, and parallel tool calls.
Send requests to https://api.aimlapi.com/v1/chat/completions using the model id z-ai/glm-5v-turbo.
