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Machine Learning · head to head

Mistral AI vs Veritone

Mistral AI logo

Mistral AI

Machine Learning

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

From
On request
Free plan
No
Full reviewWebsite
Veritone logo

Veritone

AI

AI orchestration platform and applications for media archives, public safety evidence and advertising

From
On request
Free plan
No
Full reviewWebsite

The short version

  • 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; Veritone nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Mistral AI and Veritone differ
AttributeMistral AIVeritone
Pricing modelusage-basedquote
PlatformsWeb, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale)Web, API, Self-hosted
CategoryMachine LearningAI

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated).

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 Veritone does not also cover.

Only in Veritone

  • aiWARE orchestration
  • iDEMS
  • Automated redaction
  • Media archive indexing
  • FedRAMP authorisation
  • Advertising and content intelligence
  • Voice and synthetic media
  • Self-hosted deployment

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 Veritone
  • Custom model training and domain-specific fine-tuningnot Veritone
  • Multi-modal document processing with OCRnot Veritone
  • Autonomous development with Vibe for Codenot Veritone

Veritone

  • A police department buried in body camera footage that must be redacted before disclosure, where automated face and audio redaction converts weeks of manual work into review timenot Mistral AI
  • A broadcaster or sports rights holder that cannot find footage in its own archive and loses licensing revenue because searching it costs more than the clip earnsnot Mistral AI
  • A federal agency that needs AI processing inside an authorised boundary, where FedRAMP status decides the shortlist before capability doesnot Mistral AI
  • A media buyer wanting attribution on broadcast and podcast advertising that digital analytics tools cannot seenot 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

Veritone

  • Nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
  • The company is mid-restructure after divesting its media agency, with revenue guidance well below earlier expectations, so a buyer signing a multi-year evidence contract is taking corporate risk they can read in the public filings but cannot control.
  • The orchestration proposition means Veritone sits between you and the model vendors, so when a specific engine underperforms on your content the remedy is a support case rather than switching provider yourself.
  • The product portfolio spans law enforcement, broadcast, advertising and synthetic voice, which is a wide surface for one engineering organisation and means attention to any single application depends on where the revenue growth currently is.
  • Automated redaction is a review aid, not a guarantee: an agency remains legally responsible for what is disclosed, so the staff time saved is smaller than the demonstration implies once verification is included.

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

Veritone

On request
  • aiWARE platform$undefined/year
    • Consumption-based use of the AI engine catalogue
    • Enterprise licence, quoted
    • Self-hosted and FedRAMP deployment options
  • iDEMS$undefined/year
    • Digital evidence management for law enforcement
    • Automated redaction and disclosure workflow
    • Quoted per agency, commonly on government contract vehicles
  • Media and entertainment applications$undefined/year
    • Archive indexing, monetisation and advertising intelligence
    • Quoted

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 Veritone if

  • You need aiware orchestration.
  • You work on Web, API, Self-hosted.
  • You also want idems.
Veritone review

Questions people ask

Is Mistral AI or Veritone better?
Neither clearly leads. Mistral AI starts at On request and Veritone at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Mistral AI or Veritone?
Mistral AI starts at On request and Veritone at On request.
Does Mistral AI or Veritone run on more platforms?
Mistral AI runs on Web, API, Self-hosted, Cloud (AWS, Google Cloud, Azure, SAP, IBM, Snowflake, NVIDIA, Outscale). Veritone runs on Web, API, Self-hosted.
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 Veritone is typically brought in for.
What can Mistral AI do that Veritone cannot?
Veritone covers aiWARE orchestration, iDEMS, Automated redaction, Media archive indexing.

Answered from the vendors’ own pages

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
Veritone: What do you actually buy from Veritone?

An application, most often iDEMS for digital evidence or a media archive product. aiWARE is the platform underneath, and it is rarely purchased on its own outside enterprise and government deals.

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
Veritone: Is pricing published?

No. Everything is quoted, and platform use is metered by consumption of the underlying AI engines, which makes forecasting a large ingest difficult.

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
Veritone: Is it approved for US government use?

aiWARE holds FedRAMP authorisation and can be deployed into self-hosted government tenants, which is frequently the reason it reaches a public sector shortlist.

Veritone: Did Veritone sell its advertising agency?

Yes. Veritone One was divested in 2024 for up to $104 million, and the remaining company is focused on enterprise AI software and licensing.

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