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DeepSeek-V2.5 vs Gemini 2.0 Flash-Lite
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 12.1% higher average benchmark score. Gemini 2.0 Flash-Lite offers 1.0M more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Gemini 2.0 Flash-Lite supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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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.
9 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemini 2.0 Flash-Lite
2025-02-05
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Gemini 2.0 Flash-Lite
Input:$0.07
Output:$0.30($0.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V2.5
Average Score:74.7%
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Gemini 2.0 Flash-Lite
Average Score:86.8%(+12.1%)
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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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:74.7%
Providers:3
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Gemini 2.0 Flash-Lite
Avg Score:86.8%(+12.1%)
Providers:1