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DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 14B
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 4.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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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DeepSeek
DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Launched on the same date
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:76.0%(+4.5%)
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DeepSeek R1 Distill Qwen 14B
Average Score:71.5%
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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DeepSeek R1 Distill Qwen 14B
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DeepSeek R1 Distill Llama 70B
Avg Score:76.0%(+4.5%)
Providers:1
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DeepSeek R1 Distill Qwen 14B
Avg Score:71.5%
Providers:0