Seed 2.1 Turbo

• 🏢 ByteDance's efficiency-tier variant in the Seed 2.1 family.
• 📏 256K-token context window.
• 👁️ Accepts text, image, and video inputs.
• 🔧 Built for coding delivery and long-horizon agent execution.
• ⚡ Turbo variant tuned for lower latency and cost.
• 🆕 Released June 2026.
• 💬 Supports function calling and web search for agent loops.
• 🧠 Reasoning-capable, with upgraded GUI and video understanding.

ByteDance Seed

ByteDance Seed is the AI research team within ByteDance, the Chinese multinational technology company best known for the content platforms TikTok and Douyin. The Seed group develops the company's Seed and Doubao family of models, spanning generative systems…

Seed 2.1 Turbo is the efficiency-oriented member of ByteDance's Seed 2.1 series, released in June 2026. ByteDance positions the generation as a next-generation large model for the coding and agent era, targeting engineering-grade code delivery and long-horizon agent execution. The Turbo variant is the lower-latency, lower-cost sibling to the flagship Pro tier, intended for large-scale production use.

According to the catalog specification, the model supports a 256K-token context window and accepts text, image, and video inputs. It is reasoning-capable and provides function calling and web search, supporting standard tool-use agent loops. ByteDance also describes upgraded GUI understanding and improved video understanding as part of the release.

Compared with the previous Seed generation, ByteDance highlights improvements in code engineering delivery, long-chain agent task execution, and multimodal understanding, including higher accuracy on complex visual and video content. These upgrades are described by ByteDance as a foundation for agentic workflows and software engineering.

At launch, no independently verified benchmark scores were published specifically for the Turbo variant, and ByteDance has not disclosed parameter counts, licensing, or quantization details in the sources available here. Prospective users should treat efficiency and capability descriptions as vendor-provided until independent evaluations appear.