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Model Selection Strategy

PromptForge Lab · Beginner-friendly walkthrough

Not all models are created equal. The Lab's multi-model comparison feature lets you run identical prompts across different LLMs to find the best fit for your specific task. Model Strengths Cheat Sheet GPT-4o $$ Best at: Structured output, code generation,...

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Section 1 of 1

Choosing the Right Model for Your Use Case

modelcompareselectiongptclaudegemini

Not all models are created equal. The Lab's multi-model comparison feature lets you run identical prompts across different LLMs to find the best fit for your specific task.

GPT-4o$$
Best at: Structured output, code generation, following complex format rules. Weakness: Verbose at times.
Claude 3.5 Sonnet$$$
Best at: Creative writing, nuanced reasoning, long-context analysis. Weakness: Can over-explain.
Gemini 1.5 Pro$$
Best at: Multi-modal tasks, large context windows (1M tokens), speed. Weakness: May not follow strict formatting.
Claude 3 Haiku$
Best at: Fast, cheap tasks where quality can be 'good enough'. Perfect for batch processing.
1

Define Your Criteria

What matters most? Speed (TTFT), Quality (adherence score), Cost per execution, or Output length?

2

Run Side-by-Side

Select 2-3 models in the Lab. Click 'Compare'. The same prompt runs simultaneously on all models.

3

Analyze the Diff

Use the visual diff tool to see exactly where models diverge. Is one adding hallucinated data? Is another missing key instructions?

4

Score & Decide

For each criteria, rate each model 1-5. The winning model becomes your default for that prompt template.

Academy v4.0 · Interactive Documentation · Beginner Mode