Flan-T5 XXL
Flan-T5 XXL 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 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- FLAN-T5
- Released
- 2022-10-03
- Context
- 512
- Parameters
- 11B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Cheapest of 1 route · IBM watsonx
About
Flan-T5 XXL is Google DeepMind's FLAN-T5 model. It was released 2022-10-03.
Flan-T5 XXL is a model in the FLAN-T5 family. The structured metadata tracks a 512-token context window. This page tracks provider routes through IBM watsonx, with the cheapest tracked route listed at $1.8 input and $1.8 output per 1M tokens. No headline benchmark score is tracked for Flan-T5 XXL yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| IBM watsonx | $1.80 | $1.80 | Serverless |
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.