Gemini 3.5 Flash vs R1 0528
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 Gemini 3.5 Flash and R1 0528.
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
R1 0528
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
Technical Specifications
| Specification | Gemini 3.5 Flash | R1 0528 |
|---|---|---|
| Provider | DeepSeek | |
| Context Window | 1,048,576 tokens | 163,840 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 200 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-19 | 2025-05-28 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
R1 0528
$0.50
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
R1 0528
$2.15
Want to test both models live?
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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.
Gemini 3.5 Flash Quirks & Gotchas
- ▸Excellent multimodal performance — native video understanding
- ▸Tool calling via Google's native function_declarations in Vertex AI
R1 0528 Quirks & Gotchas
No developer gotchas reported.