GLM-5V-Turbo Now on SiliconFlow: Vision Coding Redefined

2 Apr 2026

Daftar Isi

TL; DR: GLM-5V-Turbo is now available on SiliconFlow. This native multimodal coding foundation model seamlessly processes images, videos, and text while excelling at vision-based coding tasks. Achieving leading performance across core benchmarks for multimodal coding, tool use, and GUI agents, GLM-5V-Turbo is deeply optimized for agent workflows. Start building with SiliconFlow's API today to supercharge your workflow.

Introduction

GLM-5V-Turbo, Z. AI's first multimodal coding foundation model built for vision-based coding and agent-driven tasks, is now officially live on SiliconFlow.

This release brings native multimodal understanding and balanced visual-programming capabilities, enabling developers to achieve seamless "Vision-to-Code" execution with greater efficiency and reliability. As a next-generation vision-language model, GLM-5V-Turbo sets a new benchmark for bridging visual perception and logical code execution, eliminating the traditional performance trade-offs that have long constrained multimodal AI systems.

Through SiliconFlow's GLM-5V-Turbo API, You Can Expect

Cost-effective Pricing: GLM-5V-Turbo at $0.24/M tokens (cache input), $1.2/M tokens (input) and $4/M tokens (output)
205K Context Window: Perfect for long documents, complex reasoning, and extended agentic tasks involving extensive visual and textual data
Seamless Integration: Instantly deploy via SiliconFlow's OpenAI/Anthropic-compatible API, or plug into your existing stack through Claude Code and OpenClaw

Whether you're building multimodal coding assistants, GUI automation agents, or document understanding systems, SiliconFlow's GLM-5V-Turbo API delivers the performance you need at a fraction of the expected cost and latency.

Key Features & Benchmark Performance

In today's AI landscape, developers often face a trade-off between visual understanding accuracy and code generation quality. Many vision-language models excel at one dimension but struggle to maintain strong performance across both. GLM-5V-Turbo resolves this through native multimodal fusion architecture, achieving both leading visual comprehension and robust programming capabilities simultaneously.

Highlights

Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts without intermediate text conversion
Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI agents
Deep Agent Optimization: Works in deep synergy with agents like Claude Code and OpenClaw to complete the full loop of "understand the environment → plan actions → execute tasks"
Long-Horizon Planning: Excels at complex, multi-step coding tasks and action execution that require sustained reasoning over extended contexts

Across benchmarks for multimodal coding, agentic tasks, and pure-text coding, GLM-5V-Turbo achieves strong performance despite having a smaller model size.

GLM-5V-Turbo consistently outperforms traditional vision-language models in scenarios demanding tight integration between visual perception and code execution, particularly in Claw-style workflows where developers provide screenshots of bugs or feature mockups.

Key Systematic Upgrades

Four core enhancements behind GLM-5V-Turbo:

Native multimodal integration: The model aligns visual and textual information seamlessly from pretraining to post-training, using the new CogViT encoder and an efficient MTP architecture to boost multimodal reasoning
Joint RL over 30+ tasks: Reinforcement learning jointly optimizes the model on diverse tasks including STEM, grounding, video, GUI agents, and coding agents, improving perception, reasoning, and agent execution
Agent-focused data design: A multi-level, controllable, and verifiable data system was bulit, and agentic meta-capabilities was injected during pretraining
Expanded multimodal toolchain: Added tools like box drawing, screenshot capture, and webpage reading, extending agents from text-only to visual interaction and completing the perception‑planning‑execution loop

Together they deliver higher efficiency and stronger reasoning stability across complex tasks involving visual inputs, long logical chains, and high data throughput.

Real-World Applications

GLM-5V-Turbo empowers developers and businesses to create cutting-edge solutions for:

Vision-Based Coding Assistants: Developers can provide screenshots of UI bugs, design mockups, or application interfaces, and receive contextually accurate code suggestions grounded in the visual layout—streamlining debugging and feature implementation workflows
GUI Automation Agents: Build intelligent agents that can visually navigate complex graphical interfaces, understand spatial relationships, and execute multi-step automation tasks with minimal human intervention
Document Intelligence Systems: Extract, analyze, and reason over complex document layouts including forms, tables, and multi-column text, enabling automated document processing pipelines for legal, financial, and healthcare applications

From software development to enterprise automation, the model helps teams accelerate development and unlock new AI-driven possibilities by bridging the gap between what they see and what they code.

Developer-Ready Integration

Beyond GLM-5V-Turbo's industry-leading performance, SiliconFlow delivers instant compatibility with your existing development ecosystem:

OpenAI-Compatible Tools: Seamless integration with Cline, Qwen Code, Gen-CLI, and other standard development environments—just plug in your SiliconFlow API key
Anthropic-Compatible API: Works with Claude Code and any Anthropic-compatible tools for code reviews, debugging, and architectural refactoring
Platform Integrations: Ready-to-use in Dify, ChatHub, Chatbox, Sider, MindSearch, DB-GPT, and also available through OpenRouter

With powerful models, seamless integrations, and cost-effective pricing, SiliconFlow transforms how you build—letting you ship faster and scale smarter.

Get Started Immediately

Explore: Try GLM-5V-Turbo in the SiliconFlow playground.
Integrate: Use our OpenAI-compatible API. Explore the full API specifications in the SiliconFlow API documentation.

curl --request POST \
  --url https://api.siliconflow.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "zai-org/GLM-5V-Turbo",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://tse4.mm.bing.net/th/id/OIP.mDDGH4uc_a7tmLFLJvKXrQHaEo?rs=1&pid=ImgDetMain&o=7&rm=3"
          }
        },
        {
          "type": "text",
          "text": "What'\''s this?"
        }
      ]
    }
  ]
}'

curl --request POST \
  --url https://api.siliconflow.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "zai-org/GLM-5V-Turbo",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://tse4.mm.bing.net/th/id/OIP.mDDGH4uc_a7tmLFLJvKXrQHaEo?rs=1&pid=ImgDetMain&o=7&rm=3"
          }
        },
        {
          "type": "text",
          "text": "What'\''s this?"
        }
      ]
    }
  ]
}'

curl --request POST \
  --url https://api.siliconflow.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "zai-org/GLM-5V-Turbo",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://tse4.mm.bing.net/th/id/OIP.mDDGH4uc_a7tmLFLJvKXrQHaEo?rs=1&pid=ImgDetMain&o=7&rm=3"
          }
        },
        {
          "type": "text",
          "text": "What'\''s this?"
        }
      ]
    }
  ]
}'