gemini-2.5-pro vs gemini-3.5-flash
Side-by-side comparison of gemini-2.5-pro and gemini-3.5-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
gemini-2.5-pro
Input / 1M
$1.25
Output / 1M
$10.00
Context
1.0M
Model ID
google/gemini-2.5-pro
gemini-3.5-flash
Input / 1M
$1.50
Output / 1M
$9.00
Context
1.0M
Model ID
google/gemini-3.5-flash
Pricing & specifications
| gemini-2.5-pro | gemini-3.5-flash | |
|---|---|---|
| Input price / 1M | $1.25 | $1.50 |
| Output price / 1M | $10.00 | $9.00 |
| Context window | 1.0M tokens | 1.0M tokens |
| Max output | 66K tokens | 66K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Google Gemini API | Google Gemini API |
Questions people ask
Is gemini-2.5-pro better than gemini-3.5-flash?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, gemini-2.5-pro or gemini-3.5-flash?
gemini-3.5-flash is cheaper. gemini-2.5-pro costs $1.25/$10.00 per 1M input/output tokens, while gemini-3.5-flash costs $1.50/$9.00.
Can I use gemini-2.5-pro and gemini-3.5-flash through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "google/gemini-2.5-pro" and "google/gemini-3.5-flash", no other code changes needed.
What are the context windows?
gemini-2.5-pro supports up to 1.0M tokens of context. gemini-3.5-flash supports up to 1.0M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between gemini-2.5-pro and gemini-3.5-flash with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.