DeepSeek R1 vs Nano Banana (Gemini 2.5 Flash Image)
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek R1 and Nano Banana (Gemini 2.5 Flash Image).
DeepSeek R1
A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.
Nano Banana (Gemini 2.5 Flash Image)
Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...
Technical Specifications
| Specification | DeepSeek R1 | Nano Banana (Gemini 2.5 Flash Image) |
|---|---|---|
| Provider | DeepSeek | |
| Context Window | 163,840 tokens | 32,768 tokens |
| Agent Suitability | 78/100 | N/A |
| Time to First Token (TTFT) | 1800 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-01-20 | 2025-10-07 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek R1
$0.70
Nano Banana (Gemini 2.5 Flash Image)
$0.30
Output Price per Million Tokens
DeepSeek R1
$2.50
Nano Banana (Gemini 2.5 Flash Image)
$2.50
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek R1 Quirks & Gotchas
- ▸Reasoning model — not designed for high-frequency tool calling
- ▸Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only
Nano Banana (Gemini 2.5 Flash Image) Quirks & Gotchas
No developer gotchas reported.