DeepSeek V3.1 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 V3.1 and Gemini 3.1 Pro.
DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
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 V3.1 | Gemini 3.1 Pro |
|---|---|---|
| Provider | DeepSeek | |
| Context Window | 163,840 tokens | 2,000,000 tokens |
| Agent Suitability | N/A | 93/100 |
| Time to First Token (TTFT) | N/A | 420 ms |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-21 | 2026-04-20 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.1
$0.21
Gemini 3.1 Pro
$2.00
Output Price per Million Tokens
DeepSeek V3.1
$0.79
Gemini 3.1 Pro
$12.00
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 V3.1 Quirks & Gotchas
No developer gotchas reported.
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