Using Flan-UL2 on IBM watsonx

Implementation guide · FLAN-UL2 · Google DeepMind

ServerlessOpen Source

IBM watsonx exposes Flan-UL2 through model ID flan-ul2. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-19. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at IBM watsonx and generate an API key.
  2. 2
    Use the IBM watsonx SDK or REST API to call flan-ul2 — see the documentation for request format.
  3. 3
    You'll be billed $5.00/1M input, $5.00/1M output tokens. See full pricing.
API PortalDocumentationPricing

Code Examples

See IBM watsonx documentation for integration details.

Pricing on IBM watsonx

TypePrice (per 1M)
Input tokens$5.00
Output tokens$5.00

Capabilities

No model capability flags are currently sourced.

About Flan-UL2

Flan-UL2 is Google DeepMind's FLAN-UL2 model. It was released 2022-10-20.

Full model details →

Model Specs

Released2022-10-20
Parameters20B
Context2k
ArchitectureDecoder Only

More Models on IBM watsonx

Flan-UL2 on IBM Watsonx
All models on IBM watsonx →

Provider

IBM watsonx

IBM

Armonk, New York, United States