New coding models & integrations · Ollama Blog

Illustration of Ollama coding

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

example image of the HTML site running

example image 2 of the HTML site running

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

Open the copilot chat sidebar
Select the model dropdown → Manage models
Click on Ollama under Provider Dropdown, then select desired models
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!)

Click on the agent panel button (glittering stars)
Click on the model dropdown → Configure
Select LLM providers → Ollama
Confirm the Host URL is http://localhost:11434, then click Connect
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:

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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