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seed-2.0-lite API pricing & access
seed-2.0-lite API pricing: Dynamic usage-based pricing. seed-2.0-lite. Supports text, image, video input and text output. Listed specifications fo…
seed-2.0-lite API access
seed-2.0-lite. Supports text, image, video input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.
Compare supported API endpoints and capabilities, then access seed-2.0-lite through the unified API gateway.
- Category
- text
- Context length
- 256000 tokens
- Maximum output
- 128000 tokens
- Supported APIs
- OpenAI Chat Completions API, Anthropic Messages API
- API endpoints
- POST /v1/chat/completions, POST /v1/messages
- Input modalities
- text, image, video
- Output modalities
- text
- Capabilities
- vision, reasoning, function calling, structured output
seed-2.0-lite API pricing
- Billing model
- Dynamic usage-based pricing
The final API price depends on the matched usage tier, request parameters and access group. Open the live pricing page for the current calculation.
About seed-2.0-lite
Seed 2.0 Lite is the catalog’s short Lite route for questions, document understanding and tool workflows. Official dated Lite versions exist, but this short name does not guarantee a particular update policy.
Use fixed cases for the tasks described above. Integration follows the listed endpoint, selected route parameters and current group pricing; official capabilities do not establish acceptance for every channel. Compare seed-2.0-pro.
Official reference 1 · Official reference 2, checked 2026-10-14.
Use cases and prompting
- Start with a minimal text request at the listed endpoint, retaining the exact model name.
- State goals, context and output format; leave room for the final answer after long inputs.
- Validate route-specific thinking or JSON parameters, then check both schema and task correctness.
- Compare fixed cases using completion quality, latency, usage and current group pricing; retain request IDs.
How to call seed-2.0-lite
seed-2.0-lite is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.
curl (OpenAI-compatible)
curl https://modelsok.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "seed-2.0-lite", "messages": [{"role": "user", "content": "Hello"}]}'Python (openai SDK)
from openai import OpenAI
client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="seed-2.0-lite",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Python (anthropic SDK)
from anthropic import Anthropic
client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
model="seed-2.0-lite",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)Related pages
Frequently asked questions about seed-2.0-lite
What is seed-2.0-lite?
seed-2.0-lite. Supports text, image, video input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.
How do I call seed-2.0-lite?
Create an API key with access to seed-2.0-lite, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is seed-2.0-lite priced?
Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.
What is the context window of seed-2.0-lite?
The model catalog lists a context window of 256000 tokens. Check the selected endpoint for request limits.
What is the maximum output of seed-2.0-lite?
The model catalog lists a maximum output of 128000 tokens. Your request settings may set a lower limit.
How should I evaluate seed-2.0-lite for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.