DeepSeek V3 0324 vs Gemini 2.0 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 V3 0324 and Gemini 2.0 Flash.
DeepSeek V3 0324
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
Gemini 2.0 Flash
Gemini 2.0 Flash is Google's previous-generation fast, cost-efficient multimodal model, offering a compelling balance of speed, capability, and price. It supports text, image, and audio inputs with native multimodal understanding, making it well-suited for high-volume classification, real-time content moderation, and data extraction pipelines. Gemini 2.0 Flash introduced Google's context caching feature, significantly reducing costs for repeated document processing. While the 3.x series has since succeeded it, Gemini 2.0 Flash remains a popular cost-optimized choice for teams with established Vertex AI workflows.
Technical Specifications
| Specification | DeepSeek V3 0324 | Gemini 2.0 Flash |
|---|---|---|
| Provider | DeepSeek | |
| Context Window | 163,840 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | 80/100 |
| Time to First Token (TTFT) | N/A | 180 ms |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-03-24 | 2025-02-05 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3 0324
$0.24
Gemini 2.0 Flash
$0.10
Output Price per Million Tokens
DeepSeek V3 0324
$0.90
Gemini 2.0 Flash
$0.40
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.
DeepSeek V3 0324 Quirks & Gotchas
No developer gotchas reported.
Gemini 2.0 Flash Quirks & Gotchas
- ▸Context caching via Vertex AI — up to 75% cost reduction for repeated prompts
- ▸Legacy model — migrate to Gemini 3.1 Flash for improved accuracy