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DeepSeek-V3 vs Gemini 2.0 Flash
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.0 Flash offers 794.6K more tokens in context window than DeepSeek-V3. Gemini 2.0 Flash is $0.87 cheaper per million tokens. Gemini 2.0 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
24 days newer
Gemini 2.0 Flash
2024-12-01
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40($0.87 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:57.5%
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Gemini 2.0 Flash
Average Score:57.9%(+0.3%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Gemini 2.0 Flash
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DeepSeek-V3
Avg Score:57.5%
Providers:1
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Gemini 2.0 Flash
Avg Score:57.9%(+0.3%)
Providers:1