GPT-4o vs Gemini 2.5 Pro

How prompting differs between these two models.

GPT-4o benefits from grounding rules and reasoning hints. Gemini is the baseline — no changes needed.

Subjective side-by-side based on each model's official documentation. Not an empirical benchmark — see /research for measured results.

GPT-4o

OpenAI · openai family

Strengths

extractionanalysisgenerationcode

Reach for it when…

API-first integrations
Structured JSON output
Function calling

GPT-4o prompting guide →

Gemini 2.5 Pro

Google · gemini family

Strengths

extractionanalysisgeneration

Reach for it when…

Long documents (1M tokens)
Multimodal understanding
Google ecosystem integration

Gemini 2.5 Pro prompting guide →

How they differ in practice

Both are strong general-purpose models, but they respond to prompts differently. GPT-4o tends to over-generate without grounding constraints, making Refrase's grounding rules essential. Gemini is our baseline, so standard prompt patterns already work well. Choose Gemini for long-context or multimodal; GPT-4o for API-heavy integrations.

Try the same prompt on both.

Refrase rewrites your prompt for each model using its own documentation. Run it on GPT-4o and Gemini 2.5 Pro and compare the outputs side-by-side.

Try with GPT-4o Try with Gemini 2.5 Pro