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DeepSeek R1 Distill Llama 70B vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 36.5% higher average benchmark score. Overall, Gemma 2 9B 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 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
6 months newer
Gemma 2 9B
2024-06-27
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:15.2%
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Gemma 2 9B
Average Score:51.7%(+36.5%)
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 2 9B
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DeepSeek R1 Distill Llama 70B
Avg Score:15.2%
Providers:1
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Gemma 2 9B
Avg Score:51.7%(+36.5%)
Providers:0