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Model details

Seed 2.0 Pro

Seed 2.0 Pro sits at the top of ByteDance Seed's next-generation multimodal family, positioned as the flagship variant for high-complexity, high-value professional tasks. The family was introduced as a unified multimodal foundation that already serves hundreds of millions of users through products such as Doubao, and Pro is marketed as the ceiling of the lineup where ultimate performance and intelligence matter more than latency or cost. Within that line it is the strongest sibling next to Lite, which targets balanced enterprise production workloads, and Mini, which focuses on high-concurrency, low-latency scenarios.

For practical deployment, Pro is the Seed 2.0 choice when a workload demands deep reasoning over mixed text, image, and video inputs rather than raw throughput. It fits well in enterprise pipelines that need an intelligent core for complex analysis, structured outputs, and tool-assisted workflows on Doubao-scale content. Teams that primarily need fast, cheap responses for high-traffic services typically step down to Lite or Mini, while Pro is reserved for the hardest cases where its reasoning depth and multimodal breadth justify the premium tier.

Volcengine Arkdoubao-seed-2-0-pro-260215seed

Quick Info

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Provider
Volcengine Ark
Model key
doubao-seed-2-0-pro-260215
Release date
Feb 14, 2026
Last updated
Feb 14, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.47499
Output token cost
$2.37494

Limits

Output tokens
128,000 tokens
Context window
256,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Seed 2.0 Pro

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Coverage

BytePlus, the enterprise cloud brand of ByteDance, published a first-party announcement on March 24, 2026 introducing Dola Seed 2.0 Pro — a multimodal model positioned as the flagship of the Dola Seed 2.0 series, intended for agent-driven enterprise workflows. The announcement frames the model as a multimodal engine th The supplied excerpt highlights several specific capabilities: the model can analyze video, images, and documents; it is optimized for emerging agent architectures such as OpenClaw and ReAct; and it supports browser-use and computer-use so agents can interact directly with digital interfaces. Practical use cases cited

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