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DeepSeek R1 Distill Llama 70B vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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Gemma 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
6 months newer
Gemma 2 9B
2024-06-27
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
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:0.0%
Providers:1
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Gemma 2 9B
Avg Score:0.0%
Providers:0