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seed-2-1-turbo

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bytedance

Turbo tier in Seed 2.1: multimodal model for coding and long-horizon agents, suited to multi-step task execution and visual content understanding.

上下文
262K
输入 / 1M tokens
$0.5
输出 / 1M tokens
$2.5
缓存读 / 1M
$0.1
缓存写 / 1M
$0.008
VisionCost EffectiveCodingMultimodal Understanding

seed-character

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bytedance

Character roleplay model for virtual companion scenarios, with stable persona adherence and plot progression in multi-turn dialogue, supporting multimodal inputs.

上下文
128K
输入 / 1M tokens
$0.12
输出 / 1M tokens
$0.29
缓存读 / 1M
$0.02
缓存写 / 1M
$0
ChatVisionChineseCreative Generation

seed-1.8

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bytedance

Agent-oriented foundation model tuned for tool calling and complex instruction following, with use cases spanning GUI agents, search agents, and multi-step task orchestration.

上下文
256K
输入 / 1M tokens
$0.5
输出 / 1M tokens
$4
缓存读 / 1M
$0.05
缓存写 / 1M
$0.008333
Instruction FollowingTask AutomationComplex PlanningAgent

doubao-seed-2.0-code-preview-260215

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bytedance

Code-focused preview model for agent workflows, with competitive SWE-Bench and LiveCodeBench scores, aimed at autonomous coding agents and multi-language software tasks.

上下文
256K
输入 / 1M tokens
$0.5
输出 / 1M tokens
$3
缓存读 / 1M
$0.1
缓存写 / 1M
$0.008333
CodingProduction CodeRefactoringAgent Coding

doubao-seed-2.0-lite-260428

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bytedance

Lightweight tier of the Seed 2.0 family tuned for low-latency agent, coding, and GUI workloads.

上下文
256K
输入 / 1M tokens
$0.25
输出 / 1M tokens
$2
缓存读 / 1M
$0.05
缓存写 / 1M
$0.008333
Cost EffectiveCodingReal-time ResponseAgent

doubao-seed-2.0-mini-260428

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bytedance

Lightweight tier in the Seed 2.0 family, tuned for high-throughput, low-latency tasks with adjustable reasoning levels. Fits batch processing, moderation, and classification.

上下文
256K
输入 / 1M tokens
$0.1
输出 / 1M tokens
$0.4
缓存读 / 1M
$0.02
缓存写 / 1M
$0.008333
Real-time ResponseLightweightClassificationBatch Generation

doubao-seed-2.0-pro-260215

文本图像视频文本

bytedance

Flagship of the Seed 2.0 series for complex reasoning and long-horizon agent workflows with reliable tool use.

上下文
256K
输入 / 1M tokens
$0.5
输出 / 1M tokens
$3
缓存读 / 1M
$0.1
缓存写 / 1M
$0.008333
ReasoningInstruction FollowingComplex PlanningAgent
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