Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 15.0% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Qwen3 32B. Qwen3 32B is $4809.10 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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.
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.
4 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
DeepSeek VL2
Qwen3 32B
Context window and performance specifications
Average performance across 23 common benchmarks
DeepSeek VL2
Qwen3 32B
Available providers and their performance metrics
DeepSeek VL2
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Qwen3 32B
DeepSeek VL2
Qwen3 32B
DeepSeek VL2
Qwen3 32B
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