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DeepSeek R1 Distill Qwen 7B vs Gemini 2.0 Flash-Lite
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 31.5% higher average benchmark score. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). 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 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, it represents Google's latest advancement in AI technology.
16 days newer
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
Gemini 2.0 Flash-Lite
2025-02-05
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek R1 Distill Qwen 7B
Average Score:16.4%
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Gemini 2.0 Flash-Lite
Average Score:47.9%(+31.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash-Lite
2024-06-01
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 7B
0 providers
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Gemini 2.0 Flash-Lite
1 providers
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DeepSeek R1 Distill Qwen 7B
Avg Score:16.4%
Providers:0
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Gemini 2.0 Flash-Lite
Avg Score:47.9%(+31.5%)
Providers:1