doubao · Balanced

ByteDance Seed 2.1 Turbo

Added Aug 12, 2026

ByteDance Seed 2.1 Turbo is a multimodal model for coding and long-horizon agent workflows, including end-to-end software delivery and multi-step task execution. It supports text, image, and video input with a 262k context window.

Reasoning
Tools
Vision
Structured output
Video input

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

Pricing

USD per 1M tokens

Input: $0.50
Output: $2.50

Reference prices as published by the model provider. API example

Specifications

Context window: 262.1K
Max output: —
Average output (7 days): 257 tokens; Longer than 27% of 468 models

Side by side

ByteDance Seed 2.1 Turbo compared

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

Limits
	ByteDance Seed 2.1 TurbodoubaoThis model	Doubao Seed 2.1 TurbodoubaoRemove
Provider	doubao	doubao
Discovery tier	Balanced	Balanced
Added	Aug 12, 2026	Jun 23, 2026
Context window	262.14KBest	256K
Max output	—	128K
Average output	257 tokens	—
Pricing, USD per 1M tokens
Input	$0.50	$0.50
Output	$2.50	$2.50
Capabilities
Reasoning	Yes	No
Tools	Yes	No
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-2-1-turbo",
    "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-2-1-turbo",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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