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Mistral AI vs Databricks

Mistral AI logo

Mistral AI

Software

European AI lab with open models, API platform and Le Chat assistant

From
On request
Rated
-
Full reviewWebsite
Databricks logo

Databricks

Software

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Databricks has a free tier, so it costs nothing to try first.
  • Each has a real cost: Mistral AI smaller model selection compared to OpenAI; Mistral Medium 3.5 significantly more expensive than competing mid-tier models; Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges

Where they differ

Only the attributes on which Mistral AI and Databricks actually diverge.

Attributes where Mistral AI and Databricks differ
AttributeMistral AIDatabricks
Starting priceOn requestFree
Free tierNoYes
PlatformsWeb, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale)Web, Aws, Azure, Gcp
FoundedUnknown2013

Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Mistral AI

Nothing recorded that Databricks does not also cover.

Only in Databricks

  • Delta Lake
  • Apache Spark
  • MLflow
  • Unity Catalog
  • Photon Engine
  • Collaborative Notebooks
  • Auto-scaling
  • AWS

What people use each for

The jobs each tool is most often brought in to do.

Mistral AI

  • EU-regulated workloads requiring data residency outside USnot Databricks
  • Custom model training and domain-specific fine-tuningnot Databricks
  • Multi-modal document processing with OCRnot Databricks
  • Autonomous development with Vibe for Codenot Databricks

Databricks

  • Running Spark data engineering pipelines on managed clustersnot Mistral AI
  • Building a lakehouse over data in cloud object storagenot Mistral AI
  • Training and serving machine learning models alongside the datanot Mistral AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Mistral AI

  • Smaller model selection compared to OpenAI; Mistral Medium 3.5 significantly more expensive than competing mid-tier models
  • Batch processing only available at 50% discount, not free tier
  • No free tier; all API access requires payment

Databricks

  • Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
  • The free trial lasts 14 days
  • Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
  • Azure Databricks pricing is set by Microsoft rather than by Databricks
  • Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate

Pricing, plan by plan

Mistral AI

On request
  • Mistral Small 4$0.15/per million input tokens
    • Multimodal
    • Multilingual
    • Apache 2.0 license
  • Mistral Small 4 output$0.6/per million output tokens
    • Same model
  • Mistral Large 3$0.5/per million input tokens
    • General-purpose flagship
  • Mistral Large 3 output$1.5/per million output tokens
    • Same model

Databricks

Free
  • Community EditionFree
    • Limited cluster
    • Notebook environment
    • Community support
  • Standard$0.07/DBU
    • Jobs compute
    • SQL compute
    • Standard support

Which should you pick?

Choose Mistral AI if

  • You work on Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale).
Mistral AI review

Choose Databricks if

  • You need delta lake.
  • You want to start without paying.
  • You work on Web, Aws, Azure, Gcp.
  • You also want apache spark.
Databricks review

Questions people ask

Is Mistral AI or Databricks better?
Neither clearly leads. Mistral AI starts at On request and Databricks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Mistral AI or Databricks?
Databricks has a free tier; the other does not. Paid plans start at On request for Mistral AI and Free for Databricks.
Does Mistral AI or Databricks run on more platforms?
Mistral AI runs on Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale). Databricks runs on Web, Aws, Azure, Gcp.
Can I use Databricks for free?
Yes. Databricks has a free tier, so you can try it without paying. Mistral AI starts at On request.
What is Mistral AI best used for?
Mistral AI is most often used for eu-regulated workloads requiring data residency outside us, custom model training and domain-specific fine-tuning, multi-modal document processing with ocr, autonomous development with vibe for code. Of those, eu-regulated workloads requiring data residency outside us and custom model training and domain-specific fine-tuning are not what Databricks is typically brought in for.
What can Mistral AI do that Databricks cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog.
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