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You can use Ollama models inside ChatGPT Desktop’s Codex mode by enabling Ollama’s ChatGPT (Desktop) integration. This does not make all ChatGPT conversations local: Ollama’s documentation says Codex requests using an Ollama model go through Ollama, while regular Chat and voice keep their usual ChatGPT connection. The setup requires Ollama v0.34.0 or newer.
What the integration changes—and what it doesn’t
Ollama adds compatible local and cloud models to the model picker in ChatGPT Desktop’s Codex mode. Ollama describes the boundary plainly: “Ollama models are for Codex mode. Regular Chat and voice keep using their usual ChatGPT connection.” ChatGPT manages sessions; Ollama routes requests and compaction when Codex asks it to. Ollama’s ChatGPT Desktop integration guide explains the scope.
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That distinction matters if your goal is privacy or local processing. Only requests made with an Ollama model are sent to Ollama; choosing that model does not switch regular Chat or voice to local inference. Also, Ollama’s model selection includes both local and cloud models, so check which kind you choose rather than assuming every option runs on your computer.
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- Install or update Ollama. The integration guide requires Ollama v0.34.0 or newer.
- Enable the integration. In the Ollama desktop app, open Apps, turn on ChatGPT (Desktop), and follow the prompts. Restart ChatGPT Desktop if prompted.
- Choose models. In Ollama, open Settings → Apps → ChatGPT, select up to five compatible local or cloud models, and save.
- Use Codex mode. Open ChatGPT Desktop, start Codex mode, and select an Ollama model from its model picker.
These steps and the five-model limit are from Ollama’s integration guide and its Quickstart. To disconnect, turn ChatGPT off under Ollama’s Apps. The guide says Ollama restores ChatGPT’s connection settings and usual profile.
#1 Best Overall
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Choose between local and cloud models
Local models
A local model runs on your computer through Ollama. The Quickstart demonstrates running a model without an API key, but that example should not be read as a promise that every model or Ollama capability is free. Local models also use your device’s memory and storage.
Cloud models
The integration can also expose compatible cloud models. Those are not local inference: the selected model’s requests use its cloud service. Check the model’s details and requirements before selecting it. Ollama’s Quickstart distinguishes local and cloud options.
Rank #2
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Check compatibility, memory, and storage
Ollama’s published system requirements are not a guarantee that every model will run well, and they do not establish the requirements for ChatGPT Desktop itself.
- macOS: Ollama lists macOS Sonoma 14 or newer. Apple M-series systems are supported for CPU and GPU; x86 systems are supported for CPU.
- Windows: Ollama lists Windows 10 22H2 or newer, Home or Pro. Its binary installation needs at least 4 GB of space, before accounting for models.
- Memory example: Ollama’s Gemma 4 E2B Quickstart example is about 7.2 GB to download and carries a recommendation of 8 GB available VRAM, or Mac unified memory. Larger context windows need more memory. This is an example-specific recommendation, not a universal minimum.
- Storage: Ollama says model files may take tens to hundreds of GB. If your internal drive has room, no extra drive is needed; otherwise, an external SSD can be a practical place to keep model files.
These figures and platform requirements come from Ollama’s Quickstart, Windows guide, and macOS guide, accessed October 7, 2026. The Quickstart describes the ChatGPT Desktop integration as available on macOS. Although Ollama itself runs natively on Windows, these cited sources do not establish that the ChatGPT Desktop integration is supported on Windows; check current official compatibility information before relying on it there.
Rank #3
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- Flexible Graphics Expansion: Equipped with an integrated Radeon 890M graphics card, this system easily handles daily creative tasks and multimedia applications. The OCuLink interface supports connecting external dedicated graphics cards for more demanding rendering and gaming workloads without performance loss
- Large Storage Capacity: Supports up to 128 GB of DDR5 memory and three M.2 SSD slots with a total capacity of up to 12 TB. Suitable for running local AI models, 8K video editing, and efficiently handling complex multitasking scenarios
- Powerful Connectivity & Quad Display Support: Equipped with USB 4.0, DP 2.0, HDMI 2.1, and OCuLink ports, it supports up to four 4K displays. Combined with Wi-Fi 7 and two 2.5GbE Ethernet ports, it enables the creation of a stable and powerful professional workstation
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Understand the license
Ollama’s software repository identifies Ollama as MIT-licensed. The MIT license permits broad use and modification subject to retaining the copyright and license notices. That software license does not determine the license or usage terms of any model you download; check those separately. Ollama’s repository contains the software license.
Quick Recap
Rank #4
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