Doubao Seed 2.0 Lite
Doubao Seed 2.0 Lite So sanh gia API, nha cung cap, do dai context, kha nang, use case, do tre va cac lua chon thay the. high-volume chat, classification, lightweight agent steps. ¥0.6 / 1M tokens / ¥3.60 / 1M tokens. 256k tokens.
| Input length | Input / 1M | Output / 1M | Cache hit / 1M |
|---|---|---|---|
| 0 - 32k | ¥0.6 | ¥3.60 | ¥0.12 |
| 32k - 128k | ¥0.9 | ¥5.40 | ¥0.18 |
| 128k - 256k | ¥1.80 | ¥10.80 | ¥0.36 |
Doubao Seed 2.0 Lite trong NextModel la gi?
Doubao Seed 2.0 Lite So sanh gia API, nha cung cap, do dai context, kha nang, use case, do tre va cac lua chon thay the. high-volume chat, classification, lightweight agent steps. ¥0.6 / 1M tokens / ¥3.60 / 1M tokens. 256k tokens.
Use case tot nhat
- high-volume chat
- classification
- lightweight agent steps
Vi du tuong thich OpenAI
Giu nguyen kieu SDK OpenAI, tro base_url toi NextModel va dung ID catalog doubao-seed-2-0-lite.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="doubao-seed-2-0-lite",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Lua chon thay the tuong tu
MiniMax M3 is available only through the Volcengine Agent Plan (no public ARK price list); its listed price tracks the OpenRouter reference rate for the same model.
Doubao Seed 2.0 Mini is the lowest-cost production model currently exposed through the NextModel public gateway. It is a practical default for Chinese Q&A, classification, summarization, and lightweight multimodal tasks.
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
FAQ
Doubao Seed 2.0 Lite FAQ
What is Doubao Seed 2.0 Lite best for?
High-volume Chinese chat, classification, and lightweight agent steps where cost matters more than peak reasoning quality.
How is Doubao Seed 2.0 Lite priced?
Tiered by input length: ¥0.6/¥3.6 per 1M input/output tokens up to 32K tokens, rising to ¥1.8/¥10.8 above 128K tokens.