Users see a chat window. Sometimes voice, sometimes images. But behind this familiar interface lie radically different architectures and capabilities.
Here are five key parameters that distinguish the top AI models in 2025:
1. Memory (Context Window)
This defines how much information a model can retain within a single conversation.
- GPT-4o: 128k tokens (~300 pages of text)
- Claude 3 Opus & Gemini 2.5 Pro: Up to 1 million tokens (~2,000 pages)
- DeepSeek-VL Mini: ~8k tokens (~20 pages)
More memory enables greater context and reduces hallucinations, but it also demands more powerful hardware.
2. Specialization
Versatility doesn’t always mean depth. Each model has its strengths.
- GPT-4o: A multimodal generalist with eyes, ears, and a voice.
- Claude 3 Opus: An analyst, skilled at structuring data, summarizing content, and complex reasoning.
- Gemini 2.5 Pro: An engineer, excelling at writing code, processing tables, and solving scientific problems.
- DeepSeek: A lightweight model focused on core reasoning and inexpensive inference.
3. Cost
The price per million tokens (input/output) varies dramatically:
- GPT-4o: $2.50 / $10.00
- Claude 3 Opus: $15 / $75
- DeepSeek (Mini): Can be run locally for the cost of inference.
A model’s price tag is always a compromise between speed, analytical depth, and your cloud bill.
4. Infrastructure and Deployment
How you run the model is a fundamental choice.
- Claude, GPT, and Gemini operate in hyperscale data centers that cost over $100M to build.
- DeepSeek-VL Mini, Mistral, and LLaVA can be run on a local machine with a consumer GPU like an RTX 3060.
For a business, this is a critical strategic decision: does your AI live in the cloud, or on your own servers?
5. Customization Potential
- GPT-4o, Claude, and Gemini are effectively black boxes. Fine-tuning is not an option.
- Open models like DeepSeek, LLaVA, and OpenChat can be adapted for specific tasks.
Fine-tuning, with costs starting around $50,000, has become a realistic and powerful tool for businesses needing specialized AI.
The Takeaway
Models that appear identical on the surface are vastly different under the hood. If you’re building a product, it’s critical to understand not only what a model can do, but also what it will cost, where it runs, and how deeply you can adapt it to your needs.