I’m trying to compare the actual pricing differences between GPT-5.2 and Gemini 3 Pro for both API and regular usage.
Things I’m curious about:
- Input/output token pricing
- Free tier limits
- Subscription costs
- Rate limits
- Best value for developers and heavy users
- Hidden costs or usage restrictions
If anyone has used both, which one ended up being cheaper in real-world use?
For Gemini 3, pricing varies by version (Flash, Pro, Omni, etc.), but reports show:
Gemini 3 Pro around $2 input / $12 output per 1M tokens
Gemini Flash models are much cheaper and optimized for speed.
So in general:
GPT-5.2 → stronger reasoning/coding, but output tokens cost more
Gemini 3 → often cheaper for large-scale or multimodal workloads
Pricing also changes depending on:
API vs subscription plans
Flash/mini/pro versions
Context window size
Cached tokens and usage tiers