Z.AI: GLM 5V Turbo
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GLM-5V-Turbo is Z.ai's (Zhipu AI) native multimodal coding model, designed to bridge visual perception and code generation in a single architecture. It processes images, video, and text natively and is optimized for agentic workflows — turning design mockups, screenshots, and UI layouts into runnable code.
The model scores 94.8 on the Design2Code benchmark (vs. Claude Opus 4.6's 77.3) and leads on GUI agent benchmarks like AndroidWorld and WebVoyager. It also outperforms Claude Opus 4.5 on BrowseComp for agentic browsing tasks.
Built on a 744B-parameter MoE architecture (40B active per token) with a ~200K context window. Trained with reinforcement learning across 30+ task types to maintain strong text-only coding alongside its vision strengths.
Best suited for design-to-code generation, GUI automation, and vision-grounded agentic development.
Context Window 200K
tokens
Max Output 128K
tokens
Input Cost $1.2
per million tokens
Output Cost $4
per million tokens
Input text, image, video, file
modalities
Tool Use Yes
Release Date Apr 1, 2026
Code Example
Add AI to your app with the Puter.js AI API — no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
More AI Models From Z.AI
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.
ChatGLM 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.
ChatGLM 5
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.
Frequently Asked Questions
You can access GLM 5V Turbo 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add GLM 5V Turbo to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $1.2 |
| Output | $4 |
GLM 5V Turbo was created by Z.AI and released on Apr 1, 2026.
GLM 5V Turbo supports a context window of 200K tokens. For reference, that is roughly equivalent to 400 pages of text.
GLM 5V Turbo can generate up to 128K tokens in a single response.
GLM 5V Turbo accepts the following input types: text, image, video, file. It produces: text.
Yes, GLM 5V Turbo supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
GLM 5V Turbo scores 42.9 on the Artificial Analysis Intelligence Index, outperforming 89% of tracked models. On coding, it scores 36.2 (outperforms 82% of models).
Yes — the GLM 5V Turbo 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.
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