DeepSeek V4 Pro vs Gemini 3.1 Pro
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 V4 Pro and Gemini 3.1 Pro.
DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Gemini 3.1 Pro
Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.
Technical Specifications
| Specification | DeepSeek V4 Pro | Gemini 3.1 Pro |
|---|---|---|
| Provider | DeepSeek | |
| Context Window | 1,048,576 tokens | 2,000,000 tokens |
| Agent Suitability | 94/100 | 93/100 |
| Time to First Token (TTFT) | 280 ms | 420 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2026-04-20 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
Gemini 3.1 Pro
$2.00
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
Gemini 3.1 Pro
$12.00
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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 V4 Pro Quirks & Gotchas
- ▸MoE architecture — cold-start latency on first request, use keep-alive
- ▸Best cost-performance ratio of any frontier model — strong tool calling for agentic use
Gemini 3.1 Pro Quirks & Gotchas
- ▸Best model for massive context — 2M token window is class-leading
- ▸Tool calling requires explicit schema definition in Google AI Studio