What is GLM 5 Turbo API?
GLM 5 Turbo is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 262,144 tokens / Max output: 131,072 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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GLM 5 Turbo API Pricing
- Input: $1.56 / 1M tokens
- Output: $5.2 / 1M tokens
Where to Use GLM 5 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
[embed]
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
GLM-5 Turbo is documented as suited to complex, automated agent workflows in OpenClaw scenarios, where it is optimized for tool invocation, command following, timed and persistent tasks, and long-chain execution.
It is also suited to agent-driven work that requires complex instruction decomposition, repeated tool use, and stable execution across extended tasks.
The model is documented as useful for information search and gathering, office and daily tasks, data analysis, development and operations, and automation.
It is also described as suitable for complex business-process execution, including end-to-end workflows that orchestrate writing, image generation, and video-production tools.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "z-ai/glm-5-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-5-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-5-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 | 26.6 | 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 5 Turbo This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
GLM 5 Turbo has a 262,144 tokens context window and can return up to 131,072 tokens.
GLM 5 Turbo takes image, text as input and returns text.
Use z-ai/glm-5-turbo as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GLM 5 Turbo is priced at input $1.56 / 1M tokens, output $5.2 / 1M tokens, cached input $0.312 / 1M tokens.
Yes, GLM 5 Turbo can stream responses as they are generated.
Yes, GLM 5 Turbo accepts image input alongside text.
GLM 5 Turbo was built by Zhipu AI.
