doubao · Balanced

Doubao Seed 2.1 Turbo

Added Jun 23, 2026

Fast, lower-cost model in the Doubao Seed 2.1 family for everyday chat, coding assistance, document work, and high-throughput productivity tasks. Supports a 256k context window and up to 128k output tokens. Note: privacy and logging guarantees may be limited.

Input: Text
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: 256K
Max output: 128K

Side by side

Doubao Seed 2.1 Turbo compared

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

Limits
	Doubao Seed 2.1 TurbodoubaoThis model	Doubao Seed 2.0 Code PreviewdoubaoRemove
Provider	doubao	doubao
Discovery tier	Balanced	Balanced
Added	Jun 23, 2026	Feb 14, 2026
Context window	256K	256K
Max output	128K	128K
Pricing, USD per 1M tokens
Input	$0.50Best	$0.78
Output	$2.50Best	$3.89
Capabilities
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits: 0.0%

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

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/doubao-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/doubao-seed-2.1-turbo",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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