Ollama Coding Models and Integrations Update
Ollama has released cloud access to the GLM-4.6 and Qwen3-Coder-480B models, while updating the Qwen3-Coder-30B model for improved tool calling. These updates expand the availability of high-performance coding models through Ollama's cloud service and local deployment options.
New Coding Models and Availability
Ollama now provides access to several high-capacity coding models with varying deployment options:
- GLM-4.6: Available via Ollama's cloud service using the command
ollama run glm-4.6:cloud. - Qwen3-Coder-480B: Available via the cloud service using
ollama run qwen3-coder:480b-cloud. For users with more than 300GB of VRAM, this model is also available for local deployment asqwen3-coder:480b. - Qwen3-Coder-30B: This model is available locally via
ollama run qwen3-coder:30band has been updated in Ollama's new engine to provide faster and more reliable tool calling.
IDE and Tool Integrations
Ollama has expanded its support for popular coding tools, allowing users to pull cloud models and integrate them directly into their development environments:
VS Code
To use GLM-4.6 or Qwen3-Coder-480B in VS Code, users must first pull the cloud models (ollama pull glm-4.6:cloud and ollama pull qwen3-coder:480b-cloud). Integration is managed through the Copilot chat sidebar by selecting Ollama as the provider in the Manage models menu.
Zed
Zed (now available for Windows) supports Ollama integration. After pulling the cloud models, users can configure the LLM provider to Ollama and connect using the host URL http://localhost:11434 via the agent panel.
Droid
Droid integration requires installing the Droid CLI and adding a specific configuration to the ~/.factory/config.json file. This configuration defines the model_display_name, base_url (http://localhost:11434/v1), and max_tokens (16,384) for both GLM-4.6 and Qwen3-Coder-480B.
Cloud API Access
Cloud models, including glm-4.6 and qwen3-coder:480b, are accessible directly via the ollama.com cloud API. This requires creating an API key in the user settings and setting the OLLAMA_API_KEY environment variable. Requests are made to the https://ollama.com/api/chat endpoint using a Bearer token for authorization.
Supported Integration Ecosystem
Ollama's official documentation now includes dedicated integration guides for the following tools:
- Codex
- Cline
- VS Code
- Zed
- Droid
- Roo code
Sources
- OriginalNew coding models & integrations
Related
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