Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. 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%). 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 Cloud / Qwen Team's latest advancement in AI technology.
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek-V3.1
DeepSeek
2025-01-10
3 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3.1
Qwen2.5 7B Instruct
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
Qwen2.5 7B Instruct
Average performance across 3 common benchmarks
DeepSeek-V3.1
Qwen2.5 7B Instruct
Performance comparison across key benchmark categories
DeepSeek-V3.1
Qwen2.5 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Qwen2.5 7B Instruct
Together
DeepSeek-V3.1
Qwen2.5 7B Instruct