Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding, and is optimized for lightweight tasks where cost and speed take priority.
Input
Output
Context
262K
Max Output
131K
Parameters
—
Input Modalities
Output Modalities
Features
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
From model selection to production, one platform, no fragmentation.