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DeepSeek R1 Distill Qwen 14B vs Gemini 1.5 Flash
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 47.3% higher average benchmark score. Gemini 1.5 Flash supports multimodal inputs. Overall, Gemini 1.5 Flash is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). 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 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 2024, it represents Google's latest advancement in AI technology.
8 months newer
Gemini 1.5 Flash
2024-05-01
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:11.4%
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Gemini 1.5 Flash
Average Score:58.7%(+47.3%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
2023-11-01
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 R1 Distill Qwen 14B
0 providers
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Gemini 1.5 Flash
1 providers
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DeepSeek R1 Distill Qwen 14B
Avg Score:11.4%
Providers:0
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Gemini 1.5 Flash
Avg Score:58.7%(+47.3%)
Providers:1