Model Comparison
Flash vs Pro vs competitors — see the differences at a glance and find the right model for your needs.
Gemini 3 Family
| Feature | Flash ⚡ | Pro 🔮 |
|---|---|---|
| Best For | Real-time apps, high volume | Complex reasoning, research |
| Response Time | <500ms | 1-3 seconds |
| Input Cost | $0.075/1M | $1.25/1M |
| Output Cost | $0.30/1M | $5.00/1M |
| Context Window | 128K tokens | 1M+ tokens |
| Multimodal | ✅ Full | ✅ Full |
| Reasoning Depth | Good | Excellent |
| Function Calling | ✅ Yes | ✅ Yes |
vs Competitors
| Feature | Gemini Flash ⚡ | GPT-4o | Claude 3.5 Sonnet |
|---|---|---|---|
| Input Cost | $0.075/1M | $2.50/1M | $3.00/1M |
| Output Cost | $0.30/1M | $10.00/1M | $15.00/1M |
| Speed | Fastest | Fast | Medium |
| Multimodal | ✅ Native | ✅ Native | ✅ Native |
| Free Tier | Generous | Limited | Limited |
* Prices and features are approximate. Always verify with official documentation.
Not sure which to choose?
Answer 5 quick questions and we'll recommend the best model for your use case.
🎯 Model Picker
Answer 5 quick questions to find the right Gemini model for your needs.
1. Is low latency critical for your use case? (e.g., real-time chat, interactive apps)
2. Are you optimizing for cost efficiency?
3. Do you need multimodal capabilities? (images, audio, video)
4. Do you need very long context windows? (>128K tokens)
5. Does your task require deep multi-step reasoning?
Quick Decision Guide
⚡ Choose Flash When...
- →Building real-time chatbots or assistants
- →Processing high volumes of requests
- →Operating on a tight budget
- →User experience depends on response speed
- →Tasks don't require deep multi-step reasoning
🔮 Choose Pro When...
- →Analyzing very long documents (100K+ tokens)
- →Tasks require complex multi-step reasoning
- →Maximum accuracy is critical
- →Research or deep analysis workflows
- →Response time isn't a priority