baidu
Baidu: ERNIE-Light-DT-1.0
baidu/ernie-light-dt-1.0-intl
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
The OpenRouter catalog presents baidu/ernie-light-dt-1.0-intl as a Baidu text-to-text model with a very large listed context window and configurable reasoning enabled by default. The entry also lists support for tools, structured outputs and common generation controls. Its description says the model is based on open-source GLM models, incorporates Baidu Search Lightning research and features Baidu Sparse Attention, but no independent model card or measured results were included in this source pack.[1]
Strengths
- OpenRouter lists a very large context window, which may suit long documents and extended-context text tasks.[1]
- Reasoning is optional, enabled by default and configurable across multiple effort levels.[1]
- The catalog lists tools, structured outputs, response formatting, token limits and sampling controls as supported request parameters.[1]
Limitations
- This profile relies solely on an OpenRouter catalog entry; an independent model card was not available in the source pack, so reported design and capabilities remain unverified.[1]
- The supplied catalog contains no benchmark measurements, leaving output quality, latency and reliability unknown.[1]
- Only text input and text output are listed; there is no evidence for image, audio or other modalities.[1]
Where to use it
- Consider it for long-document summarization or question answering after validating that the listed context window meets the workload.[1]
- Try it in workflows that need to alternate reasoning effort levels or disable reasoning when it is unnecessary.[1]
- Evaluate it for structured-output or tool-assisted text pipelines using the listed format and tool-selection controls.[1]
Sources
- [1] OpenRouter catalog · Baidu: ERNIE-Light-DT-1.0Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
ERNIE-Light-DT-1.0 is based on open-source GLM models and includes research findings from Baidu Search's Lightning large model. It features Baidu Sparse Attention (BSA), a unique sparse attention mechanism developed by...
Specifications
- Model ID
- baidu/ernie-light-dt-1.0-intl
- Canonical ID
- baidu/ernie-light-dt-1.0-intl-20261110
- Creator
- baidu
- Added to OpenRouter
- 10.11.2026
- Context length
- 1,024,000
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1.13 / out $3.94
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · default max · efforts: max, high, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default max · efforts: max, high, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Baidu | 1,024,000 | $1.13 | $3.94 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.