Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 39.3% higher average benchmark score. DeepSeek R1 Distill Qwen 32B offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K 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 2025, it represents DeepSeek's latest advancement in AI technology.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.
8 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3.2-Exp
Context window and performance specifications
Average performance across 16 common benchmarks
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3.2-Exp
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
DeepSeek-V3.2-Exp
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3.2-Exp
DeepSeek R1 Distill Qwen 32B
DeepSeek-V3.2-Exp
Novita
ZeroEval