+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Llama 70B vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2 72B Instruct leads with 47.4% higher average benchmark score. Overall, Qwen2 72B Instruct is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
+
+
+
+
DeepSeek R1 Distill Llama 70B
Average Score:15.2%
+
+
+
+
Qwen2 72B Instruct
Average Score:62.6%(+47.4%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Qwen2 72B Instruct
+
+
+
+
DeepSeek R1 Distill Llama 70B
Avg Score:15.2%
Providers:1
+
+
+
+
Qwen2 72B Instruct
Avg Score:62.6%(+47.4%)
Providers:0