Seed 1.6
In Seed1.6, we introduced Adaptive Chain-of-Thought (AdaCoT), a novel technique for initiating thinking processes adaptively based on question difficulty. This adaptive approach enables a better trade-off between model effectiveness and reasoning performance.
Seed1.6 models demonstrated competitive performance across diverse benchmarks. They matched or even outperformed Seed1.5-VL in multiple visual tasks, while also achieving high scores in generalization tests such as college entrance exams in China and abroad.
Overview
Seed1.6 integrates multimodal capabilities, with "adaptive thinking" balancing model performance with reasoning capability.
About ByteDance
ByteDance is a multinational technology company known for its content platforms, including TikTok and Douyin.
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Seed by ByteDance — v1.8Stronger emphasis on real-world complexity evaluation via a 4-part framework (Science Discovery, Vibe Coding, Context Learning, Real-World Tasks) instead of Seed1.8’s broader benchmark grouping. Deeper GUI-agent focus with explicit end-to-end evaluations in heavy “real app” environments like FreeCAD (CAD) and CapCut (video editing), which are not used as named GUI testbeds in Seed1.8. More direct focus on reducing visual hallucinations and improving structured extraction from screenshots, charts, and scanned documents compared to Seed1.8’s more general multimodal capability framing. Tool orchestration is treated as a more central capability axis, highlighting orchestration benchmarks (for example MCP-Mark) beyond the tool-use framing in Seed1.8. The write-up shifts from “generalized real-world agency” toward “intelligence frontier for real-world complexity,” putting more weight on long-horizon, high-value workflows (research, coding projects, context learning) as the organizing target.
