DeepSeek R1 vs Gemini 2.5 Flash
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 Gemini 2.5 Flash.
DeepSeek R1
A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.
Gemini 2.5 Flash
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
Technical Specifications
| Specification | DeepSeek R1 | Gemini 2.5 Flash |
|---|---|---|
| Provider | DeepSeek | |
| Context Window | 163,840 tokens | 1,048,576 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2025-01-20 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek R1
$0.70
Gemini 2.5 Flash
$0.30
Output Price per Million Tokens
DeepSeek R1
$2.50
Gemini 2.5 Flash
$2.50
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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
Gemini 2.5 Flash Quirks & Gotchas
No developer gotchas reported.