Qinyu LuoBYTEDANCE SEED
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Model Card 2026 Technical report

Seed2.1 Model Card: Agentic Intelligence for Productivity

A model family focused on dependable agent workflows, software engineering, and practical productivity.

Bytedance Seed

I contributed to Seed2.1. The model card is published under the collective Bytedance Seed credit.

Fig. 16 — Seed-for-Seed development loop: evaluation, data, research, training, and infrastructure.Original source ↗
Seed2.1
Original Seed2.1 Seed-for-Seed development loop with evaluation, data, research and training loops supported by AI R&D infrastructure.

Fig. 16 — Seed-for-Seed development loop: evaluation, data, research, training, and infrastructure.

01 / The question

How can agents deliver reliable outcomes across everyday work, professional tasks, and complex software projects?

02 / The approach

Seed2.1

Seed2.1 pairs Pro and Turbo models with product-driven evaluation and feedback from real users. The report studies general-agent execution, end-to-end coding, multimodal understanding, and Seed-for-Seed workflows in which agents help improve evaluations, data, training, and infrastructure.

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03 / Citation

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04 / Versions & records

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1 Google Scholar record

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A model family combining reasoning, multimodal understanding, and agentic execution for complex real-world tasks.

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A team model card describing a foundation model for multi-turn interaction, tool use, and complex execution.

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