Model Comparisons
See how Refrase optimizes prompts differently for each model. Pick a pair to explore side-by-side benchmarks, adaptation strategies, and recommendations.
Claude uses XML structuring for precise instruction following, while GPT-4o relies on grounding rules and reasoning hints for complex tasks.
Compare →Claude gets XML tag restructuring while Gemini needs no adaptation — prompts are already optimized for Gemini by default.
Compare →Claude uses XML tags; Qwen3 needs thinking mode control (/think vs /no_think) and English enforcement.
Compare →GPT-4o benefits from grounding rules and reasoning hints. Gemini is the baseline — no changes needed.
Compare →GPT-4o gets grounding rules; Qwen3 gets thinking mode toggles and English enforcement for its multilingual nature.
Compare →GPT-4o uses grounding rules to reduce hallucination; DeepSeek uses self-verification checklists.
Compare →Claude gets XML restructuring; DeepSeek gets self-verification and preserves the existing markdown methodology.
Compare →Claude uses XML tags; Mistral Large has no thinking mode so gets explicit step-by-step instructions for analysis tasks.
Compare →Qwen3 uses thinking mode toggles; DeepSeek uses self-verification. Both get JSON reinforcement.
Compare →Gemini is identity (no changes); Mistral Large gets methodical analysis instructions and JSON reinforcement.
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