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DeepSeek-V3.2-Exp vs Gemini 2.0 Flash
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 21.8% higher average benchmark score. Gemini 2.0 Flash offers 827.4K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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.
10 months newer
Gemini 2.0 Flash
2024-12-01
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40($0.18 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:79.7%(+21.8%)
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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-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Gemini 2.0 Flash
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DeepSeek-V3.2-Exp
Avg Score:79.7%(+21.8%)
Providers:2
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Gemini 2.0 Flash
Avg Score:57.9%
Providers:1