Model Selection
An overview of available model providers in Qolaba, their strengths and best use cases, and how to configure and compare models effectively.
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An overview of available model providers in Qolaba, their strengths and best use cases, and how to configure and compare models effectively.
Qolaba gives you access to multiple leading large language models from a single interface. Rather than being locked into one provider, you can choose the model that best fits your task — or switch between them to compare outputs.
Qolaba currently supports models from six providers. Each has distinct strengths — use this as a starting point when deciding which model to reach for:
GPT (OpenAI)
GPT-4o, GPT-4.1, o3, and others
General use, coding, structured outputs, reasoning
Gemini (Google)
Gemini 2.0, 2.5 Pro and others
Long context tasks, multimodal (text + vision), document analysis
Claude (Anthropic)
Claude Sonnet, Opus and others
Writing quality, nuanced reasoning, long-form content, instruction following
DeepSeek
DeepSeek V3, R1 and others
Technical reasoning, coding, cost-efficient performance
Grok (xAI)
Grok 3, Grok 3 Mini and others
Real-time information, conversational tasks, creative writing
Sonar (Perplexity)
Sonar, Sonar Pro and others
Web-grounded responses, research, fact-heavy queries
For full model specs, context lengths, capabilities, and plan availability, see Model Reference→ section.
Model availability depends on your plan. Some models are accessible on all plans; others are available on paid plans only. See Model Reference → for a complete breakdown.
Model Information Panel → Understand what each model's information card tells you — context length, capability indicators, and credit costs.
Model Settings → Control how a model thinks and responds using Thinking Depth and Temperature.
Chat Branching → Regenerate any response with a different model and compare outputs side-by-side within the same conversation.
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