+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3 vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 2.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
5 months newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
DeepSeek-V3
DeepSeek
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 33 common benchmarks
+
+
+
+
DeepSeek-V3
Average Score:40.7%(+2.8%)
+
+
+
+
Qwen2 72B Instruct
Average Score:37.9%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
+
+
+
+
Qwen2 72B Instruct
+
+
+
+
DeepSeek-V3
Avg Score:40.7%(+2.8%)
Providers:1
+
+
+
+
Qwen2 72B Instruct
Avg Score:37.9%
Providers:0