Gemini 3.1 Flash vs DeepSeek V3.1
Detailed technical comparison between Gemini 3.1 Flash (Google) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Gemini 3.1 Flash
1,000,000 tokensTie
Equal CapabilityTie
Equal SpeedTie
Equal PricingGemini 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.
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...
Technical Specifications
🏆 = Superior Spec| Specification | Gemini 3.1 Flash | DeepSeek V3.1 |
|---|---|---|
| Provider | DeepSeek | |
| Context Window | 1,000,000 tokens🏆 | 163,840 tokens |
| Agent Suitability | 86/100 | N/A |
| Time to First Token (TTFT) | 150 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2025-08-21 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Flash
$0.25
DeepSeek V3.1
$0.25
Output Price per Million Tokens
Gemini 3.1 Flash
$1.50
DeepSeek V3.1
$0.95
💡 Cost Ratio: Both models offer identical input token pricing ($0.25 / MTok).
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Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Gemini 3.1 Flash Quirks & Gotchas
- ▸Most cost-effective Google model — ideal for high-volume pipelines
- ▸Context caching available via Vertex AI for repeated document processing
DeepSeek V3.1 Quirks & Gotchas
No developer gotchas reported.
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