Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 3.6% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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
DeepSeek-V2.5
DeepSeek
2024-05-08
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Cost per million tokens (USD)
DeepSeek-V2.5
Qwen2.5-Coder 32B Instruct
Context window and performance specifications
Average performance across 26 common benchmarks
DeepSeek-V2.5
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
Qwen2.5-Coder 32B Instruct
DeepSeek-V2.5
Qwen2.5-Coder 32B Instruct
Qwen2.5-Coder 32B Instruct
DeepInfra
Fireworks
Hyperbolic
Lambda