ERNIE Speed 128K
ERNIE Speed 128K is a high-throughput ERNIE model paired with an extended 128,000-token context window, designed for workloads that involve processing large documents or lengthy conversation histories efficiently. The 128K context capacity puts it in the same bracket as long-context models from international providers, giving it utility for document analysis tasks that would otherwise require chunking.
The Speed designation indicates it is optimized for fast inference rather than maximum quality, making it a practical choice when working with long inputs that still need quick turnaround — such as legal document summarization, large codebase review, or lengthy meeting transcript processing. Its bilingual support covers Chinese and English inputs equally.
Key Features
128,000-token context window for processing large documents end-to-end
Speed-optimized inference for lower latency on long-context tasks
Bilingual Chinese and English document understanding
Effective at summarizing and extracting information from lengthy texts
Suitable for conversation histories spanning many exchanges
Cost-efficient processing of high-volume long-document workloads
Ideal Use Cases
Long legal or financial document summarization and review
Processing extended meeting transcripts or interview recordings
Large codebase comprehension and documentation generation
Multi-document research synthesis requiring full context retention
Example Prompts for ERNIE Speed 128K
Technical Specifications
| Provider | Baidu |
| Category | Text |
| Modality | Text -> Text |
| Context Window | 128K tokens |
Frequently Asked Questions
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