Free
$0Free plan available.
GPTBox is a Windows application that integrates ChatGPT and DeepSeek directly into the Windows taskbar. It allows users to access AI text generation capabilities within any application on their PC, enhancing productivity by enabling AI to type emails, generate code snippets, draft documents, and compose messages. It offers inline typing and global access features, making AI assistance readily available via keyboard shortcuts.
Once GPTBox is installed, you can access ChatGPT and DeepSeek using inline typing within any text field or by using a global keyboard shortcut to open the dialog. To enable these services, enter your OpenAI or DeepSeek API keys into the GPTBox settings menu.
GPTBox for Windows includes a 7-day free trial with full feature access. A license purchase is required to continue using the software after the trial ends.
Sign up at the OpenAI platform website (https://platform.openai.com). After logging in, go to the API keys section to generate a new key, then paste it into the GPTBox settings panel on your Windows PC.
Visit https://platform.deepseek.com/api_keys to create an account and generate your API key. Open the GPTBox settings on your Windows PC, select DeepSeek as your provider in the API section, and paste your key.
API costs are generally around $0.001 per 1000 tokens, which is approximately 750 words. For most users, this amounts to only a few cents per day. GPT-4o is recommended for daily tasks as it provides an optimal balance of performance and cost.
GPTBox is compatible with Windows 10 and Windows 11. For optimal performance, we recommend using Windows 10 version 1903 or later, or any version of Windows 11.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to GPTBox.
Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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