Flan-T5 XL
Released
2022-10-03
Last refreshed
2026-05-19
Status
Researched 106d ago
Commercial use: unknown
Flan-T5 XL is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 512 context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Specifications
- Family
- FLAN-T5
- Released
- 2022-10-03
- Context
- 512
- Parameters
- 3B
- Architecture
- Decoder Only
- Specialization
- general
- License
- Unknown / UnverifiedCommercial use: unknown
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Created by
Pricing
Output / 1M
$0.600
Input / 1M
$0.600
Cheapest of 2 routes · IBM watsonx
About
Flan-T5 XL is Google DeepMind's FLAN-T5 model. It was released 2022-10-03.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare all 2Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| IBM watsonx | $0.600 | $0.600 | Serverless |
| Replicate API | - | - | ServerlessPartial |
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Created by
Pricing
Output / 1M
$0.600
Input / 1M
$0.600
Cheapest of 2 routes · IBM watsonx