Which AI Model Should You Use in Keyda? GPT, Claude, Gemini, Grok and Groq Compared
Keyda gives you access to GPT, Claude, Gemini, Grok, Groq and on-device models. Here is how to pick the right one for reasoning, speed, coding or privacy.
Most keyboard apps quietly pick one AI model for you and call it a day. Keyda takes a different approach: it gives you a full lineup of cloud models from OpenAI, Anthropic, Google, xAI and Groq, plus on-device models that never leave your phone.
That much choice is a feature, but it only helps if you know which model fits which task. Here is a practical guide to Keyda's model lineup and when to reach for each one.
The short version
Use GPT models for reasoning-heavy, multimodal, everyday writing. Use Claude models for long context, code and balanced writing quality. Use Gemini models for fast, multimodal, price-efficient tasks. Use Grok models when you want real-time knowledge or fast agentic reasoning. Use Groq-hosted open models when raw response speed matters most. Use on-device Gemma models when privacy or offline access matters more than raw capability.
OpenAI: GPT models
Keyda's OpenAI lineup includes GPT 5.5, GPT 5.4 Pro, GPT 5.4 Mini and Nano, and GPT 4.1 with a Mini variant. These models are strong general-purpose choices, described as best for "reasoning, multimodal, daily-driver writing."
Reach for a GPT model when you want a dependable, well-rounded response for everyday tasks: emails, replies, rewrites and general questions where you are not sure which model would do best.
Anthropic: Claude models
Keyda includes Claude Opus 4.7, Claude Sonnet 4.6 and Claude Haiku 4.5. These are positioned for "long-context, code, balanced writing, fastest replies."
Claude models are a strong pick when you are working with longer documents, need careful and structured writing, or are asking the keyboard for help with code snippets. Haiku is the fastest of the three when you want a near-instant reply rather than the deepest possible reasoning.
Google: Gemini models
The Gemini lineup covers Gemini 3.1 Pro, Gemini 3.1 Flash Lite, and Gemini 2.5 Pro, Flash and Flash Lite. Google's models are described as best for "multimodal, price-performance, fastest inference."
Gemini models are a good default when you want fast responses without sacrificing much quality, especially for tasks that mix text with other content types.
xAI: Grok models
Grok 4, Grok 4 Fast and Grok Code Fast round out Keyda's real-time-focused option. These are positioned for "real-time knowledge, fast reasoning, agentic coding."
Choose Grok when your request depends on current events or when you want quick, agentic-style reasoning for a coding-adjacent task.
Groq: ultra-fast open models
Groq hosts Llama 3.3 70B, Llama 3.1 8B Instant and GPT-OSS 120B and 20B on its low-latency inference hardware, described as best for "ultra-low-latency open-source inference."
Groq-hosted models are the ones to pick when speed is the priority above all else, or when you are using a free-tier BYOK key and want an open-source option that still responds quickly.
On-device models: Gemma 3n and Gemma 3 1B
Keyda also ships on-device models that run locally without a cloud request. Gemma 3n is Google's flagship on-device model and is recommended for the best local quality. Gemma 3 1B is smaller and faster, better suited to older or lower-powered devices.
On-device models are the right call when privacy matters, when you are offline, or when you simply do not want a request to leave your phone. On-device usage does not count against your daily cloud quota on either plan.
A quick decision table
| What you need | Reach for |
|---|---|
| Dependable everyday writing | GPT 5.4 Mini or GPT 4.1 |
| Long document or code help | Claude Sonnet 4.6 |
| Fastest possible reply | Claude Haiku 4.5 or Groq Llama 3.1 8B Instant |
| Current events or agentic reasoning | Grok 4 or Grok 4 Fast |
| Price-efficient multimodal task | Gemini 3.1 Flash Lite |
| Private or offline note | Gemma 3n or Gemma 3 1B (on-device) |
Cloud quotas vs BYOK vs on-device
It helps to remember how these models connect to your Keyda plan. Managed cloud requests through Keyda's pool count against your daily quota: 200 requests a day on Lite, 1,000 on Pro. If you bring your own provider key, BYOK usage is unlimited on both plans and billed directly by your provider. On-device models are always unlimited, since nothing leaves the device.
This means power users often mix all three: on-device Gemma for private notes, a BYOK Claude or GPT key for demanding writing, and Keyda's managed pool for quick everyday replies.
Picking a free BYOK provider
If you want to bring your own key without paying a provider separately, Google Gemini and Groq both offer free tiers that work well inside Keyda. For premium output quality, Anthropic Claude Sonnet or OpenAI GPT are the recommended paid options. You can add multiple provider keys at once and switch between them per action.
Final recommendation
Do not overthink model choice for casual typing. Keyda's default managed models are tuned for everyday use, and Gemini or GPT Mini variants handle most quick replies well. Save the model-picking decision for moments that matter: long writing, code, private notes or time-sensitive questions, where the right model genuinely changes the quality of the result.
The best AI model in Keyda is not a fixed answer. It is the one that matches what you are typing right now.