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DeepSeek-V3 0324 vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 21.6% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, DeepSeek-V3 0324 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. 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.
2 months newer
Gemini 2.0 Flash Thinking
2025-01-21
DeepSeek-V3 0324
DeepSeek
2025-03-25
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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DeepSeek-V3 0324
Average Score:58.7%(+21.6%)
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Gemini 2.0 Flash Thinking
Average Score:37.1%
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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 0324
1 providers
Novita
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Gemini 2.0 Flash Thinking
0 providers
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DeepSeek-V3 0324
Avg Score:58.7%(+21.6%)
Providers:1
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Gemini 2.0 Flash Thinking
Avg Score:37.1%
Providers:0