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AI Model Atlas / Baidu

ERNIE-Light-DT-1.0

One million input tokens cost $1.13 and one million output tokens $3.94. Context window: 1M tokens, about 1,707 A4 pages.

Data from 11 November 2026 API identifier: baidu/ernie-light-dt-1.0-intl

What it costs in practice

Pricing per million tokens doesn't mean anything to anyone, so I convert it to three tasks that people actually give to models. The usage assumptions are listed for each row so you can verify them.

TaskInputOutputCost
1500-word articlebrief plus finished text in English 1,500 tokens 2,200 tokens $0.01
100 chat queries700 tokens per question and 400 per answer 70,000 tokens 40,000 tokens $0.24
Hour of work with an agentagent reads repository and writes fixes 250,000 tokens 30,000 tokens $0.40
The calculation does not include tax, intermediary markup, or context caching, which with repeated prompts can cut input costs by several dozen percent.

Technical details

ProviderBaidu
Modalitiestext → text
Context window1M tokens (~1,707 A4 pages)
Maximum response131k tokens
Step-by-step reasoningyes
Tool callingyes
Forced JSON formatyes
Knowledge cutoffnot specified
Cache read$0.11 per million
Content moderationno extra filter

How it compares to the rest

The database contains 469 models. In terms of input pricing ERNIE-Light-DT-1.0 is more expensive than 69 percent of paid models. A longer context window is available in 142 models.

This model's price history builds from the day the atlas launched. New measurements are added once a day; the chart will appear when there are at least two data points.

Alternatives at a similar price

Models from other providers whose cost for the same article comes out closest.

ModelInput / MOutput / M1500-word articleContext
InklingThinkingmachines $1.00 $4.05 $0.01 524k
Gemini 3.8 FlashGoogle $0.83 $4.13 $0.01 1M
o3 (batch)OpenAI $1.00 $4.00 $0.01 200k
GPT-4.1 (batch)OpenAI $1.00 $4.00 $0.01 1M

Compare ERNIE-Light-DT-1.0 with another model or go back to the full database 469 models.

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