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DeepSeek-V3.2-Exp vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 43.9% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
8 months newer
Gemini 2.0 Flash Thinking
2025-01-21
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:57.8%(+43.9%)
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Gemini 2.0 Flash Thinking
Average Score:13.9%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
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 Thinking
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DeepSeek-V3.2-Exp
Avg Score:57.8%(+43.9%)
Providers:2
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Gemini 2.0 Flash Thinking
Avg Score:13.9%
Providers:0