FLAN T5 XL (3B) overview
FLAN T5 XL (3B) specs
- Developer
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
FLAN T5 XL (3B) Description
FLAN-T5 XL (3B) stands as an advanced iteration of the T5 model, enriched with instruction fine-tuning across an expansive array of tasks and languages. This model showcases remarkable few-shot and zero-shot performance capabilities, making it highly effective for research on language understanding and generation across diverse contexts.
Use Cases for the Model
FLAN-T5 XL (3B) is adept for academic research, enhancing applications in natural language understanding, complex reasoning, and multilingual question answering. Its robust training makes it suitable for deploying sophisticated NLP applications that require nuanced language comprehension and generation.
How does it compare to other models?
FLAN-T5 XL (3B) outperforms similar-sized models, including its predecessors, by leveraging instruction-based fine-tuning, which enhances its adaptability and effectiveness across varied NLP tasks. This approach helps achieve superior performance on benchmarks like MMLU, demonstrating its edge over models like PaLM 62B.
Tips for Maximizing Efficiency
For best results with FLAN-T5 XL (3B), integrate it into systems that benefit from its enhanced understanding of task instructions and ability to handle a wide range of NLP tasks effectively. Its capacity to understand and execute complex instructions makes it particularly valuable for developing more interactive and intuitive AI applications.
Optimize Text Descriptions for Better Results
When deploying FLAN-T5 XL (3B), it is crucial to provide clear and contextually rich instructions to fully leverage its training on a broad spectrum of tasks. This ensures that the model’s responses are both relevant and accurate, enhancing the overall effectiveness of the application.
Different Types of API Calls
FLAN-T5 XL (3B) can be integrated through various API setups to accommodate specific performance needs. Whether it’s for real-time applications or batch processing tasks, understanding the different API capabilities of FLAN-T5 XL (3B) can significantly optimize its deployment.
Use cases
- Research and academic use for language understanding and generation
- Interactive AI applications with instruction following
- Translation and cross-lingual understanding tools
- Content summarization and classification systems
- Question answering for diverse domains
Capabilities
- Function calling
- Streaming
- Structured outputs
FLAN T5 XL (3B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.105 | 1M tokens |
| Output | $0.105 | 1M tokens |
FLAN T5 XL (3B) is deprecated on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
FLAN T5 XL (3B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.105 | $0.105 | |
| $0.3 | $2.5 | |
| $0.75 | $3.75 | |
| $0.75 | $3.75 | |
| $2 | $10 |
Related articles
FLAN T5 XL (3B) FAQ
How much does FLAN T5 XL (3B) cost?
FLAN T5 XL (3B) is priced at input $0.105 / 1M, output $0.105 / 1M.
Does FLAN T5 XL (3B) support streaming?
Yes, FLAN T5 XL (3B) can stream responses as they are generated.
Does FLAN T5 XL (3B) support tool calling and structured outputs?
Yes, FLAN T5 XL (3B) supports both function calling and structured outputs.
Who created FLAN T5 XL (3B)?
FLAN T5 XL (3B) was built by Google.
How many parameters does FLAN T5 XL have?
FLAN T5 XL is a 3 billion parameter model, as indicated by its name.
Which API endpoint version does FLAN T5 XL use?
FLAN T5 XL is available on endpoint v1.

