Model details for t5-small.
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Google’s T5-small introduced the text-to-text paradigm that changed how the industry thinks about NLP. At 60M parameters, it’s the most versatile encoder-decoder model in its class, pre-trained on the Colossal Clean Crawled Corpus (C4) and fine-tunable for virtually any text task with minimal data. Its encoder-decoder architecture makes it especially strong at tasks that require both understanding and generation, like summarization and rewriting. A proven workhorse that’s been battle-tested across millions of production deployments.References: Model docs • Terms • Privacy
| Property | Value |
|---|---|
| Model ID | t5-small |
| Task | Summarization |
| Type | t5 |
| Parameters | 60M |
| Version | 1 |
| Max Tokens | 512 |
| Provider | Hugging Face |
| Input Price | $0.05 / 1M |
| Output Price | $0.40 / 1M |
| Total Price | $0.45 / 1M |
x-api-key and x-project-id. Model is fixed to t5-small. Use request examples below to switch use cases (JSON extraction, NER, PII, and so on).