Learning Timeline
Key Insights
Response Speed Difference
Mercury 2 performs significantly faster (nearly instant) compared to Claude Haiku when handling prompts that require long code outputs simultaneously.
Impact of Extended Thinking
Enabling the 'Extended Thinking' feature in Claude Haiku improves logical reasoning quality but adds significant latency before the output starts generating.
Prompts
Python Physics Simulation Generation
Target:
Mercury 2 & Claude Haiku
Create a solar system simulation in Python with realistic physics. Include a simple user interface with a 'Reset' button and a feature to 'Create a black hole'. The code should be comprehensive, approximately 250 lines long.
Step by Step
Performing a Code Generation Speed Test: Mercury 2 vs Claude Haiku
- Open the Mercury 2 and Claude Haiku interfaces side-by-side in split-screen mode to visually compare their speeds.
- In Claude Haiku, ensure you select the 4.5 model version and enable the 'Extended Thinking' feature in the settings.
- Prepare a code generation prompt for a solar system simulation that includes both UI elements and physics logic.
- Enter the prompt into Mercury 2 and click the 'Send' button.
- Quickly switch to the Claude Haiku window, paste the same prompt, and click 'Send' (try to keep the time difference under 0.5 seconds).
- Observe the code generation process; Mercury 2 typically provides a near-instant response.
- Wait for Claude Haiku to complete its 'thinking' process and generate the full code.
- Once the code is generated, test the interactive features in the simulation, such as clicking the 'Reset' button or the 'Create a black hole' function, to ensure the logic works.
- Briefly review the code structure (both AIs should produce approximately 250 lines of code for this task).
