doubao · Efficient

ByteDance Seed 2.0 Lite

Added Mar 10, 2026

ByteDance Seed 2.0 Lite is a balanced long-context model for high-frequency enterprise workloads, tuned for unstructured information processing, text creation, search and recommendation, and stable structured outputs. Supports a 262k context window.

Vision
Structured output
Video input

Input: Text, Images, Video
Output: Text
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $0.25
Output: $2.00

Reference prices as published by the model provider. API example

Specifications

Context window: 262.1K
Max output: 131.1K
Average output (7 days): 132 tokens; Longer than 13% of 468 models

Side by side

ByteDance Seed 2.0 Lite compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	ByteDance Seed 2.0 LitedoubaoThis model	Doubao Seed 2.0 Code PreviewdoubaoRemove
Provider	doubao	doubao
Discovery tier	Efficient	Balanced
Added	Mar 10, 2026	Feb 14, 2026
Context window	262.14KBest	256K
Max output	131.07KBest	128K
Average output	132 tokens	—
Pricing, USD per 1M tokens
Input	$0.25Best	$0.78
Output	$2.00Best	$3.89
Capabilities
Vision	Yes	No
Structured output	Yes	No
Video input	Yes	No
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bytedance-seed/seed-2.0-lite",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="bytedance-seed/seed-2.0-lite",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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