Flan-UL2
Released
2022-10-20
Last refreshed
2026-05-19
Status
Researched 106d ago
Open sourceCommercial use: permitted
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
Specifications
- 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
Created by
Pricing
Output / 1M
$5.00
Input / 1M
$5.00
Cheapest of 1 route · IBM watsonx
About
Flan-UL2 is Google DeepMind's FLAN-UL2 model. It was released 2022-10-20.
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.
Created by
Pricing
Output / 1M
$5.00
Input / 1M
$5.00
Cheapest of 1 route · IBM watsonx