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DeepSeek R1 Distill Llama 8B vs Gemini 2.5 Flash-Lite
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 18.2% higher average benchmark score. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Llama 8B is a language model developed by DeepSeek. It achieves strong performance with an average score of 64.4% across 4 benchmarks. It excels particularly in MATH-500 (89.1%), AIME 2024 (80.0%), GPQA (49.0%). 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 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 Distill Llama 8B
DeepSeek
2025-01-20
Gemini 2.5 Flash-Lite
2025-06-17
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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DeepSeek R1 Distill Llama 8B
Average Score:17.2%
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Gemini 2.5 Flash-Lite
Average Score:35.4%(+18.2%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash-Lite
2025-01-01
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 Llama 8B
0 providers
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Gemini 2.5 Flash-Lite
1 providers
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DeepSeek R1 Distill Llama 8B
Avg Score:17.2%
Providers:0
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Gemini 2.5 Flash-Lite
Avg Score:35.4%(+18.2%)
Providers:1