AI Translation Prompt Optimization Guide: Multi-Model Testing for Enhanced Results

This article shares an optimized AI translation prompt configuration designed specifically for immersive translation plugins. The author tested mainstream AI models including DeepSeek, Gemini, GPT, Claude, GLM, and Qwen, detailing key parameter settings: maximum requests per second can be adjusted to 10 (to avoid 429 errors), maximum text length per request set to 20480 (simulating intelligent context functionality), and maximum paragraphs per request set to 50 (ensuring efficient packaging). The core is the system prompt, emphasizing the need to act as a world-class localization expert, strictly matching the original tone, cultural adaptation, terminology consistency, and preserving HTML tags and paragraph structure. Additionally, subtitle translation is recommended to use default configuration with temperature set to 0.1 to balance accuracy and fluency. These free solutions can replace subscription features, significantly improving translation quality for long articles and conversational content, offering great practical value for AI translation users.