Seed 2.0 Lite

ByteDance · Text Generation

POST /v1/chat/completions

Balanced general-purpose model for high-frequency enterprise workloads: information processing, content, search, and data analysis.

At a glance

Field	Value
Model id	`seed-2-0-lite`
Input modalities	Text, Image, Video, Document
Output modalities	Text
Context window	256K
Weight precision	-
Max output tokens	128,000
Region	Malaysia
Features	vision, reasoning
Native inference	No
New	No
Supported endpoints	`POST /v1/chat/completions`, `POST /v1/responses`, `POST /v1/messages`

Pricing

Charge	Spec	Rate
Input	per 1M prompt tokens	<=128K $0.31; 128K-256K $0.62
Output	per 1M generated tokens	<=128K $2.50; 128K-256K $5.00

Example request

$ curl https://api.empiriolabs.ai/v1/chat/completions \
>   -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
>   -H 'Content-Type: application/json' \
>   -d '{"model": "seed-2-0-lite", "messages": [{"role":"user","content":"Hello"}]}'

Parameters

Parameter	Type	Required	Default	Description
`max_tokens`	number	no	`4096`	Max output tokens · Range: 1 – 65536
`frequency_penalty`	number	no	`0`	Penalty for repeated tokens. >0 reduces repetition, <0 encourages it. · Range: -2 – 2
`presence_penalty`	number	no	`0`	Penalty for new vs. seen tokens. >0 encourages new topics, <0 encourages staying on topic. · Range: -2 – 2
`stop`	string	no	-	Comma-separated stop sequences
`enable_thinking`	boolean	no	true	Enable deep thinking / reasoning mode.
`reasoning_effort`	enum	no	`"medium"`	Reasoning effort tier. Use enable_thinking=false to disable reasoning entirely. · Allowed: `low`, `medium`, `high`
`enable_web_search`	boolean	no	false	Enable BytePlus Ark MCP web search.
`enable_caching`	boolean	no	false	Cache the prompt prefix for ~10 min so follow-up requests reuse it and pay fewer input tokens for the cached portion.
`image_detail`	enum	no	`"high"`	Image visual quality tier for vision input. · Allowed: `low`, `high`, `xhigh`
`video_fps`	number	no	-	Frames per second extracted from video input. · Range: 0.2 – 5

Notes

Pricing is 2x when input tokens >=128K. Temperature and top_p are server-fixed (temp=1, top_p=0.95) regardless of client value.

Per-tool billing (usage.tool_usage)

When this model invokes built-in tools (web search, code interpreter, etc.) inside a single request, the response carries a normalized usage.tool_usage map alongside the token counts. The example below shows the shape — exact field names, units, and which tools appear can vary slightly per provider:

1 "usage": {
2   "prompt_tokens": 123,
3   "completion_tokens": 456,
4   "cost_usd": 0.0042,
5   "tool_usage": {"web_search": 3, "code_interpreter": 1}
6 }

The tool counts are already factored into cost_usd — they are surfaced for transparency so you can audit per-tool billing. The field is omitted when no tools were invoked.

Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/seed-2-0-lite.