Flan-UL2
Flan-UL2 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 2k 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-UL2
- Released
- 2022-10-20
- Context
- 2k
- Parameters
- 20B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · IBM watsonx
About
Flan-UL2 is Google DeepMind's FLAN-UL2 model. It was released 2022-10-20.
Flan-UL2 is an open-source model in the FLAN-UL2 family. The structured metadata tracks a 2k-token context window. This page tracks provider routes through IBM watsonx, with the cheapest tracked route listed at $5 input and $5 output per 1M tokens. No headline benchmark score is tracked for Flan-UL2 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 | $5.00 | $5.00 | 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.
Frequently asked questions
What is the context window of Flan-UL2?
Flan-UL2 has a context window of 2k tokens.
How much does Flan-UL2 cost?
Flan-UL2 is available at $5/1M input tokens through IBM watsonx.
When was Flan-UL2 released?
Flan-UL2 was released on 2022-10-20.
Which providers offer Flan-UL2?
Flan-UL2 is available from 1 provider: IBM watsonx.
Cheapest of 1 route · IBM watsonx