I Tested Opus 4.7, Sonnet 4.6, Gemini 3.1 Pro, and GPT 5.4 for Vibe Coding — Here’s Who Won

📰 Medium · LLM

Compare the performance of Opus 4.7, Sonnet 4.6, Gemini 3.1 Pro, and GPT 5.4 for vibe coding to determine the best model

intermediate Published 22 Apr 2026
Action Steps
  1. Run Opus 4.7 on a vibe coding task to evaluate its performance
  2. Compare the output of Opus 4.7 with Sonnet 4.6 and Gemini 3.1 Pro on the same task
  3. Test GPT 5.4 on the vibe coding task and compare its results with the other models
  4. Evaluate the performance of each model based on metrics such as accuracy, speed, and coherence
  5. Choose the best model for your vibe coding needs based on the comparison results
Who Needs to Know This

Developers and data scientists can benefit from understanding the strengths and weaknesses of different LLMs for vibe coding, and use this knowledge to choose the best model for their projects

Key Insight

💡 The best LLM for vibe coding depends on the specific task and metrics used for evaluation

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🤖 Which LLM reigns supreme for vibe coding? Opus 4.7, Sonnet 4.6, Gemini 3.1 Pro, or GPT 5.4? 🤔
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