GLM 5V Turbo
GLM 5V Turbo is Z.AI's vision-enabled turbo model released April 1, 2026. It turns screenshots and designs into code, debugs visually, and operates GUIs autonomously, combining GLM-5's agentic capabilities with multimodal vision input at a compact parameter size.
import { streamText } from 'ai'
const result = streamText({ model: 'zai/glm-5v-turbo', prompt: 'Why is the sky blue?'})Playground
Try out GLM 5V Turbo by Z.AI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
GLM 5V Turbo
GLM 5V Turbo
Providers
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
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More models by Z.AI
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| 1M | 0.9s | 189tps | $2.10/M | $6.60/M | Read:$0.21/M Write:— | — | +1 |   | 06/23/2026 | |||
| 1M | 0.9s | 281tps | $0.95/M | $3/M | Read:$0.18/M Write:— | — | +1 |   +3 | 06/16/2026 | |||
| 205K | 0.2s | 121tps | $1.30/M | $4.30/M | Read:$0.26/M Write:— | — | +1 | +3 | 04/07/2026 | |||
| 203K | 4.0s | 58tps | $1.20/M | $4/M | Read:$0.24/M Write:— | — | +1 | | 03/15/2026 | |||
| 203K | 0.6s | 135tps | $0.80/M | $2.56/M | Read:$0.16/M Write:— | — | +1 |  +3 | 02/12/2026 | |||
| 205K | 0.1s | 484tps | $2.25/M | $2.75/M | Read:$2.25/M Write:— | — | +1 |  +3 | 12/22/2025 |
About GLM 5V Turbo
GLM 5V Turbo was released April 1, 2026 as the vision-enabled turbo variant in Z.AI's GLM-5 generation. It combines GLM-5's agentic capabilities with multimodal vision input, purpose-built for workflows where visual understanding drives code generation and UI interaction.
The model focuses on design-to-code generation. Given a screenshot or design mockup, GLM 5V Turbo produces responsive components that match the original layout. It can debug visually by examining screenshots of rendered output and identifying discrepancies, then generating fixes. The model also navigates real GUI environments autonomously, reading screen elements and performing actions without manual scripting.
Despite these multimodal capabilities, GLM 5V Turbo operates at a smaller parameter size than comparable vision-language models. This translates to faster inference and lower cost per request, making high-volume visual coding workflows economically viable. Through AI Gateway, it's accessible via the same unified API with built-in observability and provider routing.
What To Consider When Choosing a Provider
- Configuration: GLM 5V Turbo converts visual designs to code. For best results, provide clean screenshots at sufficient resolution and specify the target framework (React, HTML/CSS, etc.) in your prompt.
- Configuration: You can use GLM 5V Turbo in an iterative loop: render code, screenshot the result, feed it back to the model for corrections. This workflow leverages both vision and coding capabilities.
- Configuration: The compact parameter size means faster inference, but the most complex visual reasoning tasks may benefit from the full GLM-4.6V (106B). Benchmark on your specific use cases.
- Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use GLM 5V Turbo
Best for
- Design-to-code generation: Screenshots and mockups convert into responsive React components, HTML, and CSS
- Visual debugging: The model examines rendered output, identifies layout issues, and generates fixes
- GUI automation: Real screen environments navigated autonomously for testing and interaction workflows
- Agentic visual coding pipelines: Image understanding combined with autonomous code planning and iteration
- High-volume visual processing: The compact parameter size keeps inference fast and cost-effective
Consider alternatives when
- Maximum visual reasoning depth: GLM-4.6V (106B) provides the largest vision-language model in the lineup without speed constraints
- Text-only workloads: GLM-5-Turbo offers the same generation's speed without vision overhead
- Simple captioning or classification: A lighter vision model may be more cost-effective for basic image tasks
- Deepest text reasoning: The full GLM-5 text-only variant provides multiple thinking modes without vision input
Conclusion
GLM 5V Turbo bridges vision and code generation in a fast, compact package. For teams building design-to-code pipelines, visual debugging loops, or autonomous GUI agents, it delivers the GLM-5 generation's agentic capabilities with multimodal input at a practical speed and cost profile.