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DeepSeek R1 Zero vs Gemini 2.5 Pro Preview 06-05
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 39.2% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). 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 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.
4 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Gemini 2.5 Pro Preview 06-05
2025-06-05
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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DeepSeek R1 Zero
Average Score:20.4%
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Gemini 2.5 Pro Preview 06-05
Average Score:59.6%(+39.2%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
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 R1 Zero
0 providers
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Gemini 2.5 Pro Preview 06-05
1 providers
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DeepSeek R1 Zero
Avg Score:20.4%
Providers:0
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Gemini 2.5 Pro Preview 06-05
Avg Score:59.6%(+39.2%)
Providers:1