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DeepSeek R1 Distill Qwen 7B vs Gemini 1.5 Flash
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash leads with 1.9% higher average benchmark score. Gemini 1.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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Gemini 1.5 Flash was created as a fast and efficient multimodal model, designed to provide quick responses while handling text, images, and other modalities. Built for applications requiring low latency and high throughput, it balances capability with speed to serve real-time and high-volume use cases.
8 months newer
Gemini 1.5 Flash
2024-05-01
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 7B
Average Score:49.1%
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Gemini 1.5 Flash
Average Score:51.0%(+1.9%)
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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 7B
0 providers
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Gemini 1.5 Flash
1 providers
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DeepSeek R1 Distill Qwen 7B
Avg Score:49.1%
Providers:0
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Gemini 1.5 Flash
Avg Score:51.0%(+1.9%)
Providers:1