Model Prompt Differences

Compare context windows, prompting style, tool use behavior, and adaptation advice across mainstream LLMs.

Model Prompt Differences

GPT-4o

GPT-4o prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.

OpenAI128,000 tokens

Claude Opus

Claude Opus prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.

Anthropic200,000 tokens

Gemini Pro

Gemini Pro prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.

Google1,000,000 tokens

DeepSeek V3

DeepSeek V3 prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.

DeepSeek128,000 tokens

Llama 3

Llama 3 prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.

Meta128,000 tokens

Qwen 2.5

Qwen 2.5 prompts should be adapted to its context window, instruction-following behavior, tool-use support, and safety profile. Test with your own workload before choosing it for production.

阿里巴巴131,072 tokens