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DeepSeek R1 Distill Llama 70B vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 42.9% higher average benchmark score. Overall, Qwen2.5 14B Instruct 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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Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:16.0%
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Qwen2.5 14B Instruct
Average Score:58.9%(+42.9%)
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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Qwen2.5 14B Instruct
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DeepSeek R1 Distill Llama 70B
Avg Score:16.0%
Providers:1
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Qwen2.5 14B Instruct
Avg Score:58.9%(+42.9%)
Providers:0