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Model details

Doubao Seed 2.0 Mini

Doubao Seed 2.0 Mini sits inside ByteDance's Seed 2.0 family as the smallest, most compact member, a positioning that the routing providers use to market it for high-throughput and latency-sensitive scenarios where many requests need to be handled quickly and cheaply. Both third-party listings describe it explicitly as ByteDance's compact Seed 2.0 Mini, and ZenMux carries it under the ByteDance namespace, suggesting it inherits the same underlying Seed 2.0 lineage rather than being a separately trained variant. For developers, the practical appeal is fast inference on batch workloads and streaming-friendly chat responses rather than frontier-scale reasoning on long, complex tasks.

From an integration standpoint, the model is exposed through OpenAI-compatible chat completion endpoints, so existing OpenAI SDK code can call it with minimal changes, and real-time token streaming is available via Server-Sent Events for interactive applications. On multi-provider gateways such as ZenMux, traffic can be routed across backend providers, with a Volcano Engine variant offered alongside other routes, giving teams a way to balance latency, throughput, and availability for production deployments. The combination of a compact footprint, streaming support, and multi-route availability makes it a sensible choice for high-volume chat pipelines, conversational assistants, and embedded AI features where the smallest member of the Seed 2.0 line is sufficient.

Qiniudoubao-seed-2.0-mini

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Provider
Qiniu
Model key
doubao-seed-2.0-mini
Release date
Feb 14, 2026
Last updated
Feb 14, 2026
Input modalities
Output modalities
Capabilities

Limits

Output tokens
32,000 tokens
Context window
256,000 tokens

Latest news about Doubao Seed 2.0 Mini

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Coverage

Doubao-Seed-2.0 was launched by ByteDance on February 14, 2026 as a Large Language Model series comprising three general-purpose Agent models (Pro, Lite, and Mini) and a Code model. The encyclopedia entry explicitly states that Doubao-Seed-2.0 Mini focuses on low latency and high concurrency, distinguishing it from Pro The series was optimized for large-scale production environment usage, featuring efficient reasoning, multimodal understanding, and complex instruction execution capabilities. Models are provided as API services via Volcano Engine, with the Code version integrated into the TRAE programming tool and accompanied by the c

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