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.
Qwen3 32B
Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
DeepSeek-V3.1
DeepSeek
2025-01-10
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
3 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3.1
Qwen3 32B
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
Qwen3 32B
Average performance across 4 common benchmarks
DeepSeek-V3.1
Qwen3 32B
Performance comparison across key benchmark categories
DeepSeek-V3.1
Qwen3 32B
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Qwen3 32B
Sambanova
DeepInfra
Novita
DeepSeek-V3.1
Qwen3 32B