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Mosaic AI

Databricks · #5 most active of 12 in Data & Analytics

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Fine-tuning, vector search, agent evaluation and serving inside Databricks.

67

Trust score · Mixed

3 data points checked · 2026-11-07

Model stack: VerifiedEntry price: DisputedVersion: DisputedHow this works →

Current version

2026 platform

Entry cost

14-day free trial available, pricing is based on Databricks units (DBUs) with no flat monthly price listed

Changes / 30d

3

The short answers · verified November 8, 2026

What is the latest version of Mosaic AI?
The current shipped version of Mosaic AI is 2026 platform, as of November 8, 2026.
How much does Mosaic AI cost?
Mosaic AI has no published flat entry price. 14-day free trial available, pricing is based on Databricks units (DBUs) with no flat monthly price listed
What AI model does Mosaic AI use?
Mosaic AI runs primarily on Claude 3.

Source: Databricks — www.databricks.com · Reusable under CC BY 4.0 — cite Tomorrow

Capabilities

  • Agent Framework
  • Vector Search
  • Model Serving
  • Fine-tuning
  • Agent Bricks
  • Unity AI Gateway
  • AI Search
  • Model Training
  • Databricks Notebooks
  • Managed MLflow
  • Data Quality Monitoring
  • Unity Catalog
  • Agent Framework and Evaluation
  • Agent Evaluation
  • AI Agents
  • Custom Evaluation
  • AI Gateway
  • MLflow MLOps
  • Unity Catalog Governance
  • Collaborative Notebooks
  • AI agents
  • Agent evaluation
  • Model serving
  • Model training
  • Vector database
  • Data governance
  • Document Intelligence
  • Notebooks
  • Custom evaluation
  • Governance
  • MLflow
  • Unity Gateway
  • AI agent systems
  • Agentic AI
  • Evaluation (AI judges)
  • AI Search (Vector DB)
  • Governance (Unity Catalog)
  • MLOps (MLflow)
  • AI Agent Systems
  • AI Evaluation

Pricing

  • Free Trial

    14-day trial

    Free

Entry price over time

8/7/2026 · $011/8/2026 · $0

Geek mode

Models under the hood

  • Claude 3

    Anthropic

    disclosed
  • GPT-4

    OpenAI

    disclosed
  • Llama 3

    Meta

    disclosed
  • Multiple

    Provider undisclosed

    disclosed

Context window

—

Public API

yes

Multi-model routing

yes

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

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Change history

  • capability

    New capabilities: AI Evaluation

    39 tracked40 tracked · +AI Evaluation

    source
  • capability

    New capabilities: AI Agent Systems

    38 tracked39 tracked · +AI Agent Systems

    source
  • capability

    New capabilities: Agentic AI, Evaluation (AI judges), AI Search (Vector DB)

    33 tracked38 tracked · +Agentic AI, Evaluation (AI judges), AI Search (Vector DB), Governance (Unity Catalog), MLOps (MLflow)

    source
  • capability

    New capabilities: AI agent systems

    32 tracked33 tracked · +AI agent systems

    source
  • capability

    New capabilities: Unity Gateway

    31 tracked32 tracked · +Unity Gateway

    source
  • capability

    New capabilities: MLflow

    30 tracked31 tracked · +MLflow

    source
  • capability

    New capabilities: Custom evaluation, Governance

    28 tracked30 tracked · +Custom evaluation, Governance

    source
  • capability

    New capabilities: Document Intelligence, Notebooks

    26 tracked28 tracked · +Document Intelligence, Notebooks

    source
  • capability

    New capabilities: AI agents, Agent evaluation, Model serving

    20 tracked26 tracked · +AI agents, Agent evaluation, Model serving, Model training, Vector database, Data governance

    source
  • capability

    New capabilities: MLflow MLOps, Unity Catalog Governance, Collaborative Notebooks

    17 tracked20 tracked · +MLflow MLOps, Unity Catalog Governance, Collaborative Notebooks

    source
  • capability

    New capabilities: AI Agents, Custom Evaluation, AI Gateway

    14 tracked17 tracked · +AI Agents, Custom Evaluation, AI Gateway

    source
  • capability

    New capabilities: Agent Evaluation

    13 tracked14 tracked · +Agent Evaluation

    source
  • capability

    New capabilities: Agent Framework and Evaluation

    12 tracked13 tracked · +Agent Framework and Evaluation

    source
  • model

    Mosaic AI added Claude 3, GPT-4, Llama 3 to its model stack

    MultipleClaude 3, GPT-4, Llama 3, Multiple

    source
  • capability

    New capabilities: Agent Bricks, Unity AI Gateway, AI Search

    4 tracked12 tracked · +Agent Bricks, Unity AI Gateway, AI Search, Model Training, Databricks Notebooks, Managed MLflow, Data Quality Monitoring, Unity Catalog

    source
  • model

    Mosaic AI added BGE, Llama 2, Mistral, MPT to its model stack

    —BGE, Llama 2, MPT, Mistral

    source
  • capability

    New capabilities: Mosaic AI Training, Lakehouse Monitoring, Unity Catalog

    9 tracked14 tracked · +Mosaic AI Training, Lakehouse Monitoring, Unity Catalog, MLflow, Vector Search

    source
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How to cite this page

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

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