Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 18.9% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 128.5K more tokens in context window than DeepSeek VL2. Qwen3-235B-A22B-Thinking-2507 is $4806.20 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 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
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
7 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)
DeepSeek VL2
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 39 common benchmarks
DeepSeek VL2
Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics
DeepSeek VL2
Replicate
Qwen3-235B-A22B-Thinking-2507
DeepSeek VL2
Qwen3-235B-A22B-Thinking-2507
DeepSeek VL2
Qwen3-235B-A22B-Thinking-2507
Novita