LLM Reference

MedLM Models by Google DeepMind

Google DeepMindProprietary
2 models2023Up to 32k ctx

Details

ResearcherGoogle DeepMind
LicenseProprietary
Commercial useCommercial use: conditional
Models2
Released2023
Max context32k

Capabilities

Structured OutputsAll models

About

Google's MedLM family of medical large language models, fine-tuned for healthcare and life science tasks. Available in medium and large variants on Vertex AI.

Archived Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view2 retired
MedLM MediumArchived

Keep only for existing workloads; choose a current variant for new builds.

2023-12medical32k contextstructured outputs
MedLM LargeArchived

Keep only for existing workloads; choose a current variant for new builds.

2023-12medical32k contextstructured outputs

Release Timeline

1 release group
2023-12
2 retired
MedLM Large
medical32k contextstructured outputs
Archived
MedLM Medium
medical32k contextstructured outputs
Archived

Specifications(2 models)

MedLM model specifications comparison
ModelReleasedContextStructured Outputs
MedLM Medium2023-1232kYes
MedLM Large2023-1232kYes

Available From(1 provider)

Frequently Asked Questions

What is MedLM used for?
MedLM is used for medical and structured outputs. The family description and listed model capabilities point to those workloads as the best fit.
How does MedLM compare to T5Gemma?
MedLM by Google DeepMind is strongest where you need medical, while T5Gemma by Google DeepMind is the closest related family to check for agent workflows and tool use. MedLM has 2 listed variants and reaches up to 32k context, so compare the specs and pricing tables before choosing a production model.
Which MedLM model should I use?
If price is the main constraint, use the pricing table first because MedLM does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate MedLM Medium with 32k context and structured outputs.