doubao-seed-2-1-turbo-260628

doubao-seed-2-1-turbo is ByteDance’s new-generation, low-cost, low-latency, deep-thinking large model designed for large-scale production scenarios. As an agile version of the 2.1-generation Pro flagship model, it boasts fully comprehensive functionality and delivers performance comparable to the Pro model in areas such as agile coding interactions, high-concurrency orchestration of lightweight agents, and multi-modal screen-level understanding. Thanks to its highly optimized distributed inference operators and compute resource allocation mechanism, the model achieves a groundbreaking leap in response speed and throughput. It is the top choice for enterprises seeking large-scale, batch deployment across multiple scenarios, agile workflow management, and extreme control over API budget expenditures.

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Core Capabilities

Scalable and Agile Coding: Specifically optimized for developers’ high-frequency interactions and real-time code completion. Inheriting the core strengths of the 2.1 family from its top ranking on the SWE-Pro real-code delivery benchmark, it achieves ultra-low first-character latency for single-point function refactoring, full-stack agile fixes, and cross-file logical-flow completion, significantly reducing implicit time costs while enhancing the development experience.

High-Concurrency Multi-Agent Collaborative Workflow: Tailored specifically for high-frequency, high-throughput agent clusters and swarm orchestration scenarios. Featuring highly stable instruction adherence and tool-call success rates, it can serve as an execution sub-node in high-value workflows across various industries, seamlessly integrating into complex, multi-step automated processes and delivering highly reliable results.

Ultra-Low Latency Multi-Modal Panoramic Perception: Perfectly preserves the powerful visual-language core capabilities of the 2.1 generation. It supports low-latency, high-precision screen reading and end-to-end parsing of complex multi-platform GUIs, high-density reports, and video streams, providing millimeter-level agile feedback throughout the visual perception-to-agent-execution pipeline.

Unrivaled “Dimensionality-Reduction” Cost-Effectiveness: By default, it offers an ultra-high-fidelity context window of 256K tokens and an exceptionally large single-output limit of 128K tokens. While maintaining model performance on par with industry-leading models, its price has been cut in half again compared to the Pro level. With exceptionally strong performance and dramatic cost reductions, it easily handles enterprise-level daily traffic volumes in the trillions of concurrent requests.