Comprehensive side-by-side LLM comparison
Seed-1.8 leads with 58.0% higher average benchmark score. Overall, Seed-1.8 is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-VL-32B-Instruct is a 32-billion-parameter vision-language model from Alibaba, extending the Qwen2.5 architecture with multimodal capabilities for understanding images, documents, charts, and video frames alongside text. The model was designed for tasks requiring deep visual reasoning — such as document parsing, table extraction, and spatial understanding — with performance that made it a practical choice for document intelligence and visual data analysis workflows. As an open-weight model, it became a widely adopted foundation for fine-tuning domain-specific multimodal applications.
ByteDance
Seed-1.8, developed by ByteDance Seed, is a generalized agentic large language model supporting text and image input, with industry-leading GUI agent capabilities and improvements in multimodal reasoning over its predecessor Seed1.5-VL. It targets information retrieval, code generation, GUI interaction, and complex agentic workflows requiring robust multimodal understanding.
9 months newer
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01
Seed-1.8
ByteDance
2025-12-18
Average performance across 1 common benchmarks
Qwen2.5-VL 32B Instruct
Seed-1.8
Performance comparison across key benchmark categories
Qwen2.5-VL 32B Instruct
Seed-1.8
Available providers and their performance metrics
Qwen2.5-VL 32B Instruct
Seed-1.8
Qwen2.5-VL 32B Instruct
Seed-1.8