DeepSeek V4 Pro vs Gemini 3.1 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 V4 Pro and Gemini 3.1 Flash.
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 Flash
Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.
Technical Specifications
| Specification | DeepSeek V4 Pro | Gemini 3.1 Flash |
|---|---|---|
| Provider | DeepSeek | |
| Context Window | 1,048,576 tokens | 1,000,000 tokens |
| Agent Suitability | 94/100 | 86/100 |
| Time to First Token (TTFT) | 280 ms | 150 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 Flash
$0.25
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
Gemini 3.1 Flash
$1.50
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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 V4 Pro Quirks & Gotchas
- โธMoE architecture โ cold-start latency on first request, use keep-alive
- โธBest cost-performance ratio of any frontier model โ strong tool calling for agentic use
Gemini 3.1 Flash Quirks & Gotchas
- โธMost cost-effective Google model โ ideal for high-volume pipelines
- โธContext caching available via Vertex AI for repeated document processing