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DeepSeek R1 Distill Llama 70B vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 22.7% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Overall, Gemma 3n E2B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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.
5 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:20.3%
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Gemma 3n E2B
Average Score:43.0%(+22.7%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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 Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Gemma 3n E2B
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DeepSeek R1 Distill Llama 70B
Avg Score:20.3%
Providers:1
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Gemma 3n E2B
Avg Score:43.0%(+22.7%)
Providers:0