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doubao · Balanced

Doubao Seed 2.0 Code Preview

Added Feb 14, 2026

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Use in the app

Code-focused preview model in the Doubao Seed 2.0 family. Supports a 256k context window and up to 128k output tokens. ⚠️ Note: This model routes through ByteDance, a Chinese entity - privacy and logging guarantees may be limited.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.78
Output
$3.89

Reference prices as published by the model provider. API example

Specifications

Context window
256K
Max output
128K

Side by side

Doubao Seed 2.0 Code Preview compared

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

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Doubao Seed 2.0 Code PreviewdoubaoThis modelAmazon Nova Pro 1.0amazonRemove
Providerdoubaoamazon
Discovery tierBalancedBalanced
AddedFeb 14, 2026Dec 3, 2024
Limits
Context window256K300KBest
Max output128KBest32K
Average output—56 tokens
Pricing, USD per 1M tokens
Input$0.78Best$0.80
Output$3.89$3.20Best
Benchmark indexes
Intelligence Index—7.0
Math Index—7.0
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Doubao Seed 2.0 Code Preview
  • Amazon Nova Pro 1.0

Intelligence Index

  • Doubao Seed 2.0 Code Preview—
  • Amazon Nova Pro 1.07.0
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 7.0

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 21.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 3.2%
  • GPQA Diamond

    Graduate-level science questions

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 49.9%
  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 69.1%
  • IFBench

    Following precise output instructions

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 38.1%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 23.3%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 7.0%
  • AIME

    Competition mathematics

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 10.7%
  • MATH-500

    Competition math problems

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 78.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 6.1%
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 14.0%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Doubao Seed 2.0 Code Preview: —
    • Amazon Nova Pro 1.0: 21.0%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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": "doubao-seed-2-0-code-preview-260215",
    "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="doubao-seed-2-0-code-preview-260215",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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