gemini-3.5-flash vs deepseek-r1
Side-by-side comparison of gemini-3.5-flash and deepseek-r1: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
gemini-3.5-flash
Input / 1M
$1.50
Output / 1M
$9.00
Context
1.0M
Model ID
google/gemini-3.5-flash
deepseek-r1
Input / 1M
$4.00
Output / 1M
$4.00
Context
64K
Model ID
novita/deepseek/deepseek-r1
Pricing & specifications
| gemini-3.5-flash | deepseek-r1 | |
|---|---|---|
| Input price / 1M | $1.50 | $4.00 |
| Output price / 1M | $9.00 | $4.00 |
| Context window | 1.0M tokens | 64K tokens |
| Max output | 66K tokens | N/A |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | N/A |
| Prompt caching | Yes | N/A |
| Computer use | N/A | N/A |
| Provider | Google Gemini API | Novita AI |
Questions people ask
Is gemini-3.5-flash better than deepseek-r1?
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-3.5-flash or deepseek-r1?
deepseek-r1 is cheaper. gemini-3.5-flash costs $1.50/$9.00 per 1M input/output tokens, while deepseek-r1 costs $4.00/$4.00.
Can I use gemini-3.5-flash and deepseek-r1 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-3.5-flash" and "novita/deepseek/deepseek-r1", no other code changes needed.
What are the context windows?
gemini-3.5-flash supports up to 1.0M tokens of context. deepseek-r1 supports up to 64K 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-3.5-flash and deepseek-r1 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.