Z.AI

Z.AI: GLM 5

z-ai/glm-5

Access GLM 5 from Z.AI using Puter.js AI API.

Get Started 
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "z-ai/glm-5"
}).then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "z-ai/glm-5"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="z-ai/glm-5",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "z-ai/glm-5",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

GLM-5 is Zhipu AI's (Z.ai) fifth-generation flagship open-weight foundation model with 744B total parameters (40B active) in a Mixture of Experts architecture, designed for agentic engineering, complex systems coding, and long-horizon agent tasks. It achieves state-of-the-art performance among open-weight models on coding and agentic benchmarks like SWE-bench Verified and Terminal Bench 2.0, approaching Claude Opus 4.5-level capability.

Context Window 200K

tokens

Max Output 128K

tokens

Input Cost $1

per million tokens

Output Cost $3.2

per million tokens

Input text

modalities

Tool Use Yes

 

Release Date Feb 12, 2026

 

Output Speed 82

tokens / sec

Latency 0.68s

time to first token

Model Playground

Try GLM 5 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat z-ai/glm-5
Z.AI
Chat with GLM 5
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Benchmarks

How GLM 5 performs on standard evaluations.

Artificial Analysis
Intelligence Index
49.8
Better than 95% of tracked models
Artificial Analysis
Coding Index
44.2
Better than 93% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
82.0%
Humanity's Last Exam Cross-domain reasoning
27.2%
SciCode Scientific programming
46.2%
IFBench Instruction following
72.3%
LCR Long-context reasoning
63.3%
Terminal-Bench Hard Agentic terminal tasks
43.2%
τ²-Bench Tool use / agents
98.2%

Scores sourced from Artificial Analysis.

Find other Z.AI models →

Chat

GLM 5.1

GLM-5.1 is a frontier-class reasoning model from Z.ai (formerly Zhipu AI), built as a post-training refinement of GLM-5 with a focus on coding and agentic tasks. It uses a 744B-parameter Mixture-of-Experts architecture with 40B active parameters per token and supports a 200K context window. GLM-5.1 scored 58.4 on SWE-Bench Pro, surpassing GPT-5.4 (57.7) and Claude Opus 4.6 (57.3), and reached 95.3 on AIME 2026. It excels at long-horizon agentic workflows, multi-step tool use, and complex software engineering tasks. The model is text-only — no image or audio input.

 Chat

GLM 5 Turbo

GLM-5 Turbo is a foundation model by Z.ai optimized for fast inference and agent-driven workflows, excelling at tool invocation, complex instruction decomposition, and long-chain task execution in OpenClaw scenarios. It is built on top of the GLM-5 architecture (744B parameters, 40B active) with DeepSeek Sparse Attention for reduced deployment cost and up to 205K token context. GLM-5 Turbo supports reasoning/thinking mode and is designed for real-world multi-step agentic tasks including scheduled, persistent, and high-throughput operations.

 Chat

GLM 4.7 Flash

GLM 4.7 Flash is designed for speed and efficiency while maintaining strong performance. It features a 200K token context window, making it suitable for processing long documents and generating extended responses.

Frequently Asked Questions

How do I use GLM 5?

You can access GLM 5 by Z.AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is GLM 5 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GLM 5 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for GLM 5?
GLM 5 costs $1 per 1M input tokens and $3.2 per 1M output tokens.
Price per 1M tokens
Input$1
Output$3.2
Who created GLM 5?

GLM 5 was created by Z.AI and released on Feb 12, 2026.

What is the context window of GLM 5?

GLM 5 supports a context window of 200K tokens. For reference, that is roughly equivalent to 400 pages of text.

What is the max output length of GLM 5?

GLM 5 can generate up to 128K tokens in a single response.

What types of input can GLM 5 process?

GLM 5 accepts the following input types: text. It produces: text.

Does GLM 5 support tool use (function calling)?

Yes, GLM 5 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does GLM 5 perform on benchmarks?

GLM 5 scores 49.8 on the Artificial Analysis Intelligence Index, outperforming 95% of tracked models. On coding, it scores 44.2 (outperforms 93% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the GLM 5 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add GLM 5 to your app without worrying about API keys or setup.

Read the Docs View Tutorials