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Machine Learning · head to head

ClearML vs Mistral AI

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Mistral AI logo

Mistral AI

Machine Learning

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

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only ClearML has a free tier, so it costs nothing to try first.
  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Mistral AI smaller model selection compared to OpenAI; Mistral Medium 3.5 significantly more expensive than competing mid-tier models
  • Prices and features above were last checked on 29 August 2026.

Where they differ

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

Attributes where ClearML and Mistral AI differ
AttributeClearMLMistral AI
Starting priceFreeOn request
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersusage-based
Free tierYesNo
PlatformsLinux, macOS, Windows, Docker, KubernetesWeb, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale)

Identical on both: user rating (Not yet rated), category (Machine Learning).

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 ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

Only in Mistral AI

Nothing recorded that ClearML does not also cover.

What people use each for

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

ClearML

  • Tracking experiments across a team so results are reproduciblenot Mistral AI
  • Moving training from laptops to shared GPU hardware without repackagingnot Mistral AI
  • Versioning datasets alongside the experiments that consumed themnot Mistral AI

Mistral AI

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

Where each one falls short

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

ClearML

  • Broad scope means more to learn and more to run than a focused tracking tool
  • Self-hosting the server is real infrastructure — database, file storage and web server
  • Documentation quality is uneven across the newer parts of the platform
  • Smaller community than the most popular tracking tools, so fewer worked examples exist

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

Pricing, plan by plan

ClearML

Free
  • Open sourceFree
    • Experiment tracking
    • Pipelines
    • Self-hosted server

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

Which should you pick?

Choose ClearML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want remote execution.
ClearML review

Choose Mistral AI if

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

Questions people ask

Is ClearML or Mistral AI better?
Neither clearly leads. ClearML starts at Free and Mistral AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Mistral AI?
ClearML has a free tier; the other does not. Paid plans start at Free for ClearML and On request for Mistral AI.
Does ClearML or Mistral AI run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Mistral AI runs on Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale).
Can I use ClearML for free?
Yes. ClearML has a free tier, so you can try it without paying. Mistral AI starts at On request.
What is ClearML best used for?
ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Mistral AI is typically brought in for.
What can ClearML do that Mistral AI cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines.

Answered from the vendors’ own pages

ClearML: Is ClearML free?

The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.

Mistral AI: How much does Mistral AI cost?

Mistral AI offers a free plan with 10 USD/month in API credits, Pro at 14.99 USD/month with 30 USD/month in credits, and Team at 24.99 USD per user/month with a 50 USD minimum.

Source
ClearML: How much code does tracking require?

Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.

Mistral AI: Is there a free plan?

Yes, Mistral AI includes a free plan with 10 USD/month in API credits, Studio access, and 100+ connectors for limited use.

Source
ClearML: Does ClearML replace MLflow?

It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.

Mistral AI: What are the API costs?

API pricing is per million tokens for most models with input and output charged separately; OCR costs per 1,000 pages; speech models charged per minute.

Source
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