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    You are at:Home»Technology»New coding models and integrations
    Technology

    New coding models and integrations

    TechAiVerseBy TechAiVerseOctober 16, 2025No Comments3 Mins Read2 Views
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    New coding models and integrations
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    New coding models and integrations

    GLM-4.6 and Qwen3-coder-480B are available on Ollama’s cloud service with easy integrations to the tools you are familiar with. Qwen3-Coder-30B has been updated for faster, more reliable tool calling in Ollama’s new engine.

    Get started

    GLM-4.6

    ollama run glm-4.6:cloud
    

    Qwen3-Coder-480B

    ollama run qwen3-coder:480b-cloud
    

    For users with more than 300GB of VRAM, qwen3-coder:480b is also available locally.

    Qwen3-Coder-30B

    ollama run qwen3-coder:30b
    

    Example prompts

    Create a single-page app in a single HTML file with the following requirements:
    
    Name: Ollama's Adventure 
    Goal: Jump over obstacles to survive as long as possible.
    Features: Increasing speed, high score tracking, retry button, and funny sounds for actions and events.
    
    The UI should be colorful, with parallax scrolling backgrounds.
    The characters should look cartoonish, related to alpacas and be fun to watch.
    The game should be enjoyable for everyone.
    

    Example code by GLM-4.6 in a single prompt

    Usage with VS Code

    First, pull the coding models so they can be accessed via VS Code:

    ollama pull glm-4.6:cloud
    ollama pull qwen3-coder:480b-cloud
    
    1. Open the copilot chat sidebar
    2. Select the model dropdown → Manage models
    3. Click on Ollama under Provider Dropdown, then select desired models
    4. Select the model dropdown → and choose the model (e.g. glm-4.6)

    Usage with Zed

    First pull the coding models so they can be accessed via Zed:

    ollama pull glm-4.6:cloud
    ollama pull qwen3-coder:480b-cloud
    

    Then, open Zed (now available for Windows!)

    1. Click on the agent panel button (glittering stars)
    2. Click on the model dropdown → Configure
    3. Select LLM providers → Ollama
    4. Confirm the Host URL is http://localhost:11434, then click Connect
    5. Select a model under Ollama

    Usage with Droid

    First, install Droid:

    curl -fsSL https://app.factory.ai/cli | sh
    

    Add the following configuration to ~/.factory/config.json:

    {
      "custom_models": [
        {
          "model_display_name": "GLM-4.6",
          "model": "glm-4.6:cloud",
          "base_url": "http://localhost:11434/v1",
          "api_key": "not-needed",
          "provider": "generic-chat-completion-api",
          "max_tokens": 16384
        },
        {
          "model_display_name": "Qwen3-Coder-480B",
          "model": "qwen3-coder:480b-cloud",
          "base_url": "http://localhost:11434/v1",
          "api_key": "not-needed",
          "provider": "generic-chat-completion-api",
          "max_tokens": 16384
        }
      ]
    }
    

    Then run Droid and type /model to change to the model:

    ╭──────────────────────────────────────────────────╮
    │ > GLM-4.6 [current]                              │
    │   Qwen3-Coder-480B                               │
    │                                                  │
    │ ↑/↓ to navigate, Enter to select, ESC to go back │
    ╰──────────────────────────────────────────────────╯
    

    Integrations

    Ollama’s documentation now includes sections on using Ollama with popular coding tools:

    • Codex
    • Cline
    • VS Code
    • Zed
    • Droid
    • Roo code

    Cloud API access

    Cloud models such as glm-4.6 and qwen3-coder:480b can also be accessed directly via ollama.com’s cloud API:

    First, create an API key, and set it in your environment

    export OLLAMA_API_KEY="your_api_key_here"
    

    Then, call ollama.com’s API

    curl https://ollama.com/api/chat 
        -H "Authorization: Bearer $OLLAMA_API_KEY" 
        -d '{
        "model": "glm-4.6",
        "messages": [{
          "role": "user",
          "content": "Write a snake game in HTML."
        }]
    }'
    

    For more information see the Ollama’s API documentation.

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