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AI Model Comparison Table

Mainstream large language model parameters, capabilities and price scenarios

Model Name Context ⇅ Price ($/M) ⇅ Core characteristics Code capability ⇅ The ability to reason. ⇅ Multimodular Support Apply scene
Flagships The strongest and most comprehensive.
Quick Very low delay response
Economy Very high value for money.
Inference Deep Thinking Logic
Open Source Support for privatization deployment
Update to February 2025: Prices are based on the latest publication of the Network of Vendors.

How do you choose the AI-size model best for you?

With the outbreak of the generated AI, OpenAI, Anthropic, Google and Meta The manufacturers have introduced models with special features. The selection of suitable models not only enhances efficiency but also significantly reduces costs.

1. Balance of performance vs costs

If your mission involves complex logical reasoning, long document analysis or high-quality code writing, GPT-4o or Claude 3.5 Sonnet It's first. For simple translations, summaries or daily conversations, GPT-4o mini or Gemini Flash It offers excellent value for money.

2. Rise of the reasoning model

OpenAI o1 and DeepSeek R1 It represents a new era of reasoning models. They think “chains of thought” before answering, and perform far beyond traditional models in mathematics, science and complex programming competitions.

3. Importance of the length of the context

If you need to process the whole book or the large code library, Gemini 1.5 Pro The length of the 1M-2M context provided has an absolute advantage and avoids the cumbersomeness of frequent sub-processing.

4. Open sources and privacy

For companies that have very high data privacy requirements, Llama 3.1 or Qwen 2.5 The open source model supports privatization deployments and ensures that data are not available on local servers.