Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 2.4% higher average benchmark score. DeepSeek VL2 offers 29.2K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $4808.82 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
9 months newer
DeepSeek VL2
DeepSeek
2024-12-13
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek VL2
DeepSeek-V3.2-Exp
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek VL2
DeepSeek-V3.2-Exp
Available providers and their performance metrics
DeepSeek VL2
Replicate
DeepSeek-V3.2-Exp
DeepSeek VL2
DeepSeek-V3.2-Exp
DeepSeek VL2
DeepSeek-V3.2-Exp
Novita
ZeroEval