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 203K
tokens
Max Output 131K
tokens
Input Cost $0.79
per million tokens
Output Cost $3.44
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 5.3 Prime
GLM 5.3 Prime is a high-speed serving tier built on Z.ai's GLM-5.3, offered through third-party inference platforms rather than as an official Z.ai product listing. It runs the same 744-billion-parameter Mixture-of-Experts weights (40 billion active) as standard GLM-5.3, on infrastructure tuned for higher throughput. Vendor reports put its output throughput at 1.5 to 2 times the standard GLM-5.3 endpoint, at roughly double the per-token price, a pattern also seen with GLM-5.2's own "Fast" tier. No independent benchmark of the Prime endpoint exists, but since the weights are unchanged, it should inherit GLM-5.3's reported gains over GLM-5.2, including a 50% jump on Z.ai's Code Bench and gains on Terminal-Bench 3.0 and DeepSWE v1.1. It supports a 1,000,000-token context window, 128,000 max output tokens, three reasoning-effort levels, and function calling. Best suited for agent loops and coding assistants that chain many model calls and are latency-sensitive, where the throughput gain offsets cost.
ChatGLM 5.3 FlashX
GLM 5.3 FlashX is Z.ai's high-speed serving tier for GLM-5.3-Flash, using the same 320-billion-parameter Mixture-of-Experts weights (18 billion active) rather than a separate model. Z.ai runs it on faster inference infrastructure, reporting speeds up to 200 tokens per second. Because the weights are unchanged, it inherits GLM-5.3-Flash's benchmark results, including 63.4 on DeepSWE v1.1 and 48.8 on AutomationBench, both ahead of GLM-5.2. It keeps the same 1,000,000-token context window, 128,000-token max output, and function calling support. Pricing is $0.37 per million input tokens and $1.25 per million output tokens, about 2.5 times GLM-5.3-Flash's rate. It fits agent loops and coding assistants that call the model repeatedly and need lower per-call latency, where the added throughput offsets the higher per-token price.
ChatGLM 5.3 Flash
GLM 5.3 Flash is a mixture-of-experts model from Z.ai (Zhipu AI), the first natively multimodal release in the GLM-5 family, accepting text and image input. It has 320 billion total parameters with 18 billion active per token, and a hybrid sparse-and-linear attention architecture that Z.ai says cuts attention compute about 3x and KV cache size about 4.4x compared with GLM-5.3. Through this API it offers a 1,000,000 token context window and up to 131,100 output tokens, priced at $0.08 per million input tokens and $0.25 per million output tokens. It supports function calling, and thinking is always on and cannot be disabled. GLM 5.3 Flash beats GLM-5.2 on Z.ai's reported benchmarks (DeepSWE v1.1, 63.4 vs 46.2; AutomationBench, 48.8 vs 26.2) and approaches Claude Opus 4.8 on coding and agentic tasks. Model weights are released under the MIT license.
Frequently Asked Questions
GLM 5V Turbo is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.79 |
| Output | $3.44 |
GLM 5V Turbo was created by Z.AI and released on Apr 1, 2026.
GLM 5V Turbo supports a context window of 203K tokens. For reference, that is roughly equivalent to 406 pages of text.
GLM 5V Turbo can generate up to 131K 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 23.5 on the Artificial Analysis Intelligence Index, outperforming 74% of tracked 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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