Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3
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.
Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K 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 2024, it represents Alibaba's latest advancement in AI technology.
Qwen2.5 7B Instruct
Alibaba
2024-09-19
DeepSeek-V3
DeepSeek
2024-12-25
3 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3
Qwen2.5 7B Instruct
Performance Metrics
Context window and performance specifications
DeepSeek-V3
Qwen2.5 7B Instruct
Average performance across 5 common benchmarks
DeepSeek-V3
Qwen2.5 7B Instruct
Performance comparison across key benchmark categories
DeepSeek-V3
Qwen2.5 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Qwen2.5 7B Instruct
Together
DeepSeek-V3
Qwen2.5 7B Instruct