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DeepSeek-V2.5 vs Gemini 1.5 Flash 8B
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 16.0% higher average benchmark score. Gemini 1.5 Flash 8B offers 1.0M more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Gemini 1.5 Flash 8B supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 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 1.5 Flash 8B was developed as an ultra-compact variant of Gemini 1.5 Flash, designed to deliver multimodal capabilities with minimal resource requirements. Built for deployment scenarios where efficiency is critical, it provides a lightweight option for applications requiring fast, cost-effective AI processing.
1 month newer
Gemini 1.5 Flash 8B
2024-03-15
DeepSeek-V2.5
DeepSeek
2024-05-08
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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 1.5 Flash 8B
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%(+16.0%)
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Gemini 1.5 Flash 8B
Average Score:58.7%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash 8B
2024-10-01
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%(+16.0%)
Providers:3
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Gemini 1.5 Flash 8B
Avg Score:58.7%
Providers:1