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DeepSeek-V3.1 vs Gemini 2.0 Flash
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 13.8% higher average benchmark score. Gemini 2.0 Flash offers 729.1K more tokens in context window than DeepSeek-V3.1. Gemini 2.0 Flash is $0.77 cheaper per million tokens. Gemini 2.0 Flash supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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.
1 month newer
Gemini 2.0 Flash
2024-12-01
DeepSeek-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40($0.77 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.1
Average Score:71.7%(+13.8%)
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Gemini 2.0 Flash
Average Score:57.9%
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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
2 providers
DeepInfra
Novita
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Gemini 2.0 Flash
1 providers
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DeepSeek-V3.1
Avg Score:71.7%(+13.8%)
Providers:2
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Gemini 2.0 Flash
Avg Score:57.9%
Providers:1