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DeepSeek-V3.1 vs Gemini 2.0 Flash-Lite
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 35.7% higher average benchmark score. Gemini 2.0 Flash-Lite offers 729.1K more tokens in context window than DeepSeek-V3.1. Gemini 2.0 Flash-Lite is $0.90 cheaper per million tokens. Gemini 2.0 Flash-Lite 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 Lite was created as an even more efficient variant of Gemini 2.0 Flash, designed for applications where minimal latency and maximum cost-effectiveness are essential. Built to bring next-generation multimodal capabilities to resource-constrained deployments, it optimizes for speed and affordability.
26 days newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Gemini 2.0 Flash-Lite
2025-02-05
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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-Lite
Input:$0.07
Output:$0.30($0.90 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.1
Average Score:84.0%(+35.7%)
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Gemini 2.0 Flash-Lite
Average Score:48.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash-Lite
2024-06-01
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-Lite
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DeepSeek-V3.1
Avg Score:84.0%(+35.7%)
Providers:2
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Gemini 2.0 Flash-Lite
Avg Score:48.3%
Providers:1