Free online AI model comparator - compare GPT-4o, Claude 3.5, Gemini, Llama and other LLMs by capability, pricing, speed, and context window. Pure frontend, no data upload.
Zero dependencies · Works offline🔍 Select Models
Select AI models to compare (at least 2)
📖 AI Model Selection Guide
Select by Task Type
- Code Generation: GPT-4o > Claude 3.5 Sonnet > Gemini 1.5 Pro
- Creative Writing: Claude 3.5 Sonnet > GPT-4o > Gemini 1.5 Pro
- Long Document Processing: Gemini 1.5 Pro (2M) > Claude 3.5 (200K) > GPT-4o (128K)
- Multimodal (Image): GPT-4o > Gemini 1.5 Pro > Claude 3.5
- Cost Priority: GPT-4o-mini > Claude 3 Haiku > Gemini 1.5 Flash
- Privacy Priority: Llama 3.1 (self-hosted) > Mistral (self-hosted)
Pricing
API pricing is typically per-token billing; 1M tokens is approximately equal to 750K English words or 500K Chinese characters. Input and output prices differ, and output is typically 2-3x the input price. Long conversation costs mainly come from output tokens.
❓ FAQ
How to choose the right AI model?
Consider: 1) Task type - coding with GPT-4o/Claude, creative with Claude/Gemini; 2) Budget - GPT-4o most expensive, Llama free self-hosted; 3) Context length - long docs with Gemini (2M tokens); 4) Speed - GPT-4o-mini fastest; 5) Privacy - self-hosted Llama safest.
GPT-4o vs Claude 3.5: which is better?
Each has strengths: GPT-4o excels at multimodal and function calling; Claude 3.5 excels at long text understanding and writing quality. Choose based on your specific task.
Is the gap between open-source and closed-source models large?
The gap is shrinking. Llama 3.1 405B approaches GPT-4 level but requires powerful hardware. Open-source advantages: customizable, data privacy, no API fees.
What is a context window?
A context window is the maximum number of tokens a model can process at once. GPT-4o: 128K, Claude 3.5: 200K, Gemini 1.5 Pro: 2M.
Will data be uploaded to a server?
No. All model comparison data is displayed locally in the browser. No data is sent to any server.