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DeepSeek-V3.1 vs Gemini 2.5 Flash
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 4.5% higher average benchmark score. Gemini 2.5 Flash offers 786.4K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $1.53 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 2.5 Flash represents a continued evolution of Google's efficient multimodal models, designed to deliver enhanced capabilities while maintaining the performance characteristics valued in the Flash series. Built to serve high-throughput applications with improved quality, it advances the balance between speed and intelligence.
4 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Gemini 2.5 Flash
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($1.53 cheaper)
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Gemini 2.5 Flash
Input:$0.30
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek-V3.1
Average Score:62.1%(+4.5%)
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Gemini 2.5 Flash
Average Score:57.6%
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Coding66.0%(+5.6%)
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Gemini 2.5 Flash
Coding60.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash
2025-01-31
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 2.5 Flash
2 providers
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DeepSeek-V3.1
Avg Score:62.1%(+4.5%)
Providers:2
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Gemini 2.5 Flash
Avg Score:57.6%
Providers:2