BytePlus: GLM-4.7
byteplus/glm-4-7-251222
Try GLM-4.7 for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "byteplus/glm-4-7-251222"
}).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: "byteplus/glm-4-7-251222"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
GLM-4.7 is an open-weight large language model from Zhipu AI (Z.ai), available here through BytePlus's hosting.
It targets coding and agentic workflows, including long-running, multi-step tasks that involve tool use. The model reasons before each response and before each tool call, which Z.ai says improves consistency compared to earlier GLM versions.
On benchmarks, GLM-4.7 scores 73.8% on SWE-bench Verified and 95.7% on AIME 2025. Z.ai reports it performs at or above Claude Sonnet 4.5 on SWE-bench Verified, LiveCodeBench v6, and Terminal Bench 2.0.
It supports a 200,000 token context window and tool calling, suited for software engineering agents, code generation, and multi-step reasoning tasks.
Context Window 200K
tokens
Max Output 128K
tokens
Input Cost $0.6
per million tokens
Output Cost $2.2
per million tokens
Input text
modalities
Tool Use Yes
Release Date Dec 22, 2025
Try GLM-4.7 for free
Try GLM-4.7 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Frequently Asked Questions
You can access GLM-4.7 by BytePlus 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.
GLM-4.7 is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
GLM-4.7 is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.6 |
| Output | $2.2 |
GLM-4.7 was created by BytePlus and released on Dec 22, 2025.
GLM-4.7 supports a context window of 200K tokens. For reference, that is roughly equivalent to 400 pages of text.
GLM-4.7 can generate up to 128K tokens in a single response.
GLM-4.7 accepts the following input types: text. It produces: text.
Yes, GLM-4.7 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the GLM-4.7 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.
Add GLM-4.7 to your app for free
Developers can integrate GLM-4.7 for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.