Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Instruct leads with 19.1% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). It supports a 131K 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.
9 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
2025-09-10
Context window and performance specifications
Average performance across 38 common benchmarks
DeepSeek VL2 Tiny
Qwen3-Next-80B-A3B-Instruct
Available providers and their performance metrics
DeepSeek VL2 Tiny
Qwen3-Next-80B-A3B-Instruct
Novita
DeepSeek VL2 Tiny
Qwen3-Next-80B-A3B-Instruct
DeepSeek VL2 Tiny
Qwen3-Next-80B-A3B-Instruct