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Baidu: ERNIE Light DT 1.0 (Intl)

ernie-light-dt-1.0-intl

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ERNIE Light DT 1.0 (Intl) is text model with Sparse Attention for working with long conversations and documents. It supports tool calling, structured output, a 1,024,000-token context window, and up to 131,072 output tokens. Choose max, high, or low reasoning effort, or none to disable reasoning.

Modalities

Text → Text

Input / output price

$1.69 / $5.85 per 1M

Context

1.02M · max output 131K

Capabilities

ReasoningTool callingLong context

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$1.69
Output$5.85
Cached input$0.169

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00975
Per day
$4.88
Per month (30 days)
$146.25

ERNIE Light DT 1.0 (Intl): input $1.69/M · output $5.85/M · cached input $0.169/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "ernie-light-dt-1.0-intl", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to ernie-light-dt-1.0-intl.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ernie-light-dt-1.0-intl",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is ERNIE Light DT 1.0 (Intl) billed?
Input is $1.69 and output is $5.85 per million tokens; cached input is $0.169. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
1.02M tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.