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MedLM

Google Cloud · #4 most active of 16 in Healthcare

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Tuned models for clinical summarisation, Q&A and healthcare workflows.

75

Trust score · Mostly verified

2 data points checked · 2026-11-02

Model stack: UnverifiableEntry price: DisputedVersion: VerifiedHow this works →

Current version

MedLM

Entry cost

Pricing is available on request via Google Cloud / Vertex AI, typically billed per token or resource unit.

Changes / 30d

6

The short answers · verified November 6, 2026

What is the latest version of MedLM?
The current shipped version of MedLM is MedLM, as of November 6, 2026.
How much does MedLM cost?
MedLM has no published flat entry price. Pricing is available on request via Google Cloud / Vertex AI, typically billed per token or resource unit.
What AI model does MedLM use?
MedLM runs primarily on Gemini.

Source: Google Cloud — cloud.google.com · Reusable under CC BY 4.0 — cite Tomorrow

Capabilities

  • Clinical summarisation
  • Medical Q&A
  • HIPAA eligible
  • Grounding
  • Fine-tuning
  • Model Garden
  • Agent Studio
  • Model Evaluation
  • Model Registry
  • Custom training
  • Feature Store
  • Pipelines
  • healthcare
  • medical-ai
  • agentic-capabilities
  • Medical AI models
  • Clinical LLMs
  • Vertex AI integration
  • API
  • Model Servicing
  • Model Training
  • Tuning
  • Model serving
  • Agentic capabilities
  • MLOps
  • Healthcare AI
  • Medical LLM
  • Healthcare LLM
  • Medical AI
  • Model Tuning
  • Enterprise-grade security
  • Vertex AI Integration
  • Generative AI
  • Model Serving
  • Clinical language understanding
  • Healthcare generative AI
  • Healthcare LLMs
  • Agent Platform integration
  • Medical AI tuning
  • Healthcare-specific AI
  • Medical GenAI
  • agents
  • model tuning
  • custom training
  • model evaluation
  • model registry
  • batch prediction
  • online prediction
  • Batch predictions
  • Online predictions
  • Vertex AI
  • Custom Training
  • Batch prediction
  • Online prediction
  • Supervised Fine-Tuning
  • Batch Prediction
  • Online Prediction
  • Agents
  • MLOps Pipeline
  • Medical LLMs
  • tuning
  • prediction API
  • ML Training
  • ML Deployment
  • ML Inference
  • Clinical QA
  • AI agents
  • AI Agents
  • AutoML
  • Predictive MLOps
  • model-tuning
  • custom-training
  • model-evaluation
  • api
  • Tuning options
  • healthcare models
  • medical ai
  • clinical language understanding
  • Agent building
  • APIs
  • AI models
  • Predictive AI
  • mlops
  • healthcare LLM
  • medical AI

Pricing

  • Vertex AI usage

    per 1K characters

    Free

  • Enterprise

    custom

    Free

Entry price over time

7/27/2026 · $011/6/2026 · $0

Geek mode

Models under the hood

  • Gemini

    Google DeepMind

    disclosed
  • Gemini 3

    Google

    disclosed
  • Gemini 3.5

    Google

    disclosed
  • Med-PaLM 2

    Google

    inferred
  • MedLM

    Google

    disclosed
  • MedLM-large

    Google

    inferred
  • MedLM-medium

    Google

    inferred

Context window

Varies by model

Public API

yes

Multi-model routing

yes

Stack signals

  • Vertex AI
  • Healthcare API

Shared model stack

Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.

green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.

Reported scale

Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.

No public usage figure on record for this product.

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Elsewhere on the same models

Products in other segments that name one of MedLM's models in their stack.

Content-layer AI over enterprise document repositories.

Version
2025
Cost
Bundled from Enterprise Plus
Model
Gemini

Gemini across Docs, Sheets, Gmail and Meet.

Version
2025
Cost
Bundled in Workspace plans
Model
Gemini 3

Conversational analytics over the Looker semantic model.

Version
2025
Cost
Bundled with Looker
Model
Gemini

Inference-first TPU pods

Version
7th-generation (Ironwood)
Cost
from $5.4/unit
Model
Gemini
LearnLM

GoogleUnited States

13

Pedagogy-tuned model family

Version
Gemini 2.5 integration
Cost
Free tier available via Gemini API / Google AI Studio.
Model
Gemini

Grounded research notebook with audio and video overviews.

Version
2025
Cost
Free, Pro via Google AI Plus
Model
Gemini 3

Change history

  • capability

    New capabilities: healthcare LLM, medical AI

    83 tracked85 tracked · +healthcare LLM, medical AI

    source
  • capability

    New capabilities: mlops

    82 tracked83 tracked · +mlops

    source
  • capability

    New capabilities: AI models, Predictive AI

    80 tracked82 tracked · +AI models, Predictive AI

    source
  • capability

    New capabilities: Agent building, APIs

    78 tracked80 tracked · +Agent building, APIs

    source
  • capability

    New capabilities: healthcare models, medical ai, clinical language understanding

    75 tracked78 tracked · +healthcare models, medical ai, clinical language understanding

    source
  • capability

    New capabilities: Tuning options

    74 tracked75 tracked · +Tuning options

    source
  • capability

    New capabilities: api

    73 tracked74 tracked · +api

    source
  • capability

    New capabilities: model-tuning, custom-training, model-evaluation

    70 tracked73 tracked · +model-tuning, custom-training, model-evaluation

    source
  • capability

    New capabilities: Predictive MLOps

    69 tracked70 tracked · +Predictive MLOps

    source
  • capability

    New capabilities: AutoML

    68 tracked69 tracked · +AutoML

    source
  • capability

    New capabilities: AI Agents

    67 tracked68 tracked · +AI Agents

    source
  • capability

    New capabilities: AI agents

    66 tracked67 tracked · +AI agents

    source
  • capability

    New capabilities: Clinical QA

    65 tracked66 tracked · +Clinical QA

    source
  • capability

    New capabilities: ML Training, ML Deployment, ML Inference

    62 tracked65 tracked · +ML Training, ML Deployment, ML Inference

    source
  • capability

    New capabilities: tuning, prediction API

    60 tracked62 tracked · +tuning, prediction API

    source
  • capability

    New capabilities: Medical LLMs

    59 tracked60 tracked · +Medical LLMs

    source
  • capability

    New capabilities: Agents, MLOps Pipeline

    57 tracked59 tracked · +Agents, MLOps Pipeline

    source
  • capability

    New capabilities: Supervised Fine-Tuning, Batch Prediction, Online Prediction

    54 tracked57 tracked · +Supervised Fine-Tuning, Batch Prediction, Online Prediction

    source
  • capability

    New capabilities: Batch prediction, Online prediction

    52 tracked54 tracked · +Batch prediction, Online prediction

    source
  • capability

    New capabilities: Vertex AI, Custom Training

    50 tracked52 tracked · +Vertex AI, Custom Training

    source
  • capability

    New capabilities: Online predictions

    49 tracked50 tracked · +Online predictions

    source
  • capability

    New capabilities: Batch predictions

    48 tracked49 tracked · +Batch predictions

    source
  • capability

    New capabilities: agents, model tuning, custom training

    41 tracked48 tracked · +agents, model tuning, custom training, model evaluation, model registry, batch prediction, online prediction

    source
  • capability

    New capabilities: Healthcare-specific AI, Medical GenAI

    39 tracked41 tracked · +Healthcare-specific AI, Medical GenAI

    source
  • capability

    New capabilities: Healthcare LLMs, Agent Platform integration, Medical AI tuning

    36 tracked39 tracked · +Healthcare LLMs, Agent Platform integration, Medical AI tuning

    source
  • version

    MedLM moved to MedLM

    MedLM 2MedLM

    source
  • model

    MedLM added Med-PaLM 2 to its model stack

    Gemini, Gemini 3, Gemini 3.5, MedLM, MedLM-large, MedLM-mediumGemini, Gemini 3, Gemini 3.5, Med-PaLM 2, MedLM, MedLM-large, MedLM-medium

    source
  • capability

    New capabilities: Clinical language understanding, Healthcare generative AI

    34 tracked36 tracked · +Clinical language understanding, Healthcare generative AI

    source
  • capability

    New capabilities: Model Serving

    33 tracked34 tracked · +Model Serving

    source
  • capability

    New capabilities: Generative AI

    32 tracked33 tracked · +Generative AI

    source
  • model

    MedLM added Gemini 3, Gemini 3.5 to its model stack

    Gemini, MedLM, MedLM-large, MedLM-mediumGemini, Gemini 3, Gemini 3.5, MedLM, MedLM-large, MedLM-medium

    source
  • capability

    New capabilities: Enterprise-grade security, Vertex AI Integration

    30 tracked32 tracked · +Enterprise-grade security, Vertex AI Integration

    source
  • capability

    New capabilities: Model Tuning

    29 tracked30 tracked · +Model Tuning

    source
  • capability

    New capabilities: Healthcare LLM, Medical AI

    27 tracked29 tracked · +Healthcare LLM, Medical AI

    source
  • capability

    New capabilities: Healthcare AI, Medical LLM

    25 tracked27 tracked · +Healthcare AI, Medical LLM

    source
  • capability

    New capabilities: MLOps

    24 tracked25 tracked · +MLOps

    source
  • capability

    New capabilities: Model serving, Agentic capabilities

    22 tracked24 tracked · +Model serving, Agentic capabilities

    source
  • capability

    New capabilities: API, Model Servicing, Model Training

    18 tracked22 tracked · +API, Model Servicing, Model Training, Tuning

    source
  • model

    MedLM added MedLM-large, MedLM-medium to its model stack

    Gemini, MedLMGemini, MedLM, MedLM-large, MedLM-medium

    source
  • capability

    New capabilities: Medical AI models, Clinical LLMs, Vertex AI integration

    15 tracked18 tracked · +Medical AI models, Clinical LLMs, Vertex AI integration

    source
Subscribe to MedLM changes

MedLM compared

Straight head-to-head pages against the busiest products in Healthcare.

How to cite this page

Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/med-gemini

APA
Tomorrow. (2026). MedLM — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-11-08, from https://tomorrow.aliensquad.ai/tools/med-gemini
BibTeX
@misc{tomorrow-tools-med-gemini,
  author       = {{Tomorrow}},
  title        = {MedLM — version, pricing and model stack},
  year         = {2026},
  publisher    = {AlienSquad},
  howpublished = {\url{https://tomorrow.aliensquad.ai/tools/med-gemini}},
  note         = {Accessed: 2026-11-08}
}