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Machine Learning · head to head

Cohere vs Immuta

Cohere logo

Cohere

Machine Learning

Enterprise AI platform for NLP

From
Free
Free plan
Yes
Immuta logo

Immuta

Databases

Attribute-based access control and masking applied inside Snowflake, Databricks and BigQuery

From
On request
Free plan
No

The short version

  • Cohere starts at $0.4/mo; Immuta prices on request.
  • Only Cohere lists REST API; only Immuta lists attribute-based policy.
  • Where Cohere falls short: API-only service with no self-hosted options for most users.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cohere and Immuta actually diverge.

Attributes where Cohere and Immuta differ
AttributeCohereImmuta
Starting priceFreeOn request
Pricing modelUsage-basedQuote
Free tierYesNo
PlatformsAPI, WebWeb, API
CategoryMachine LearningDatabases

Not yet recorded: founded for Immuta.

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 Cohere

  • Generate
  • Embed
  • Rerank
  • Classify
  • REST API
  • SDKs
  • Cloud deployment
  • Api support

Only in Immuta

  • Attribute-based policy
  • Native enforcement
  • Dynamic masking
  • Row-level filtering
  • Purpose-based access
  • Sensitive data tagging
  • Audit logging
  • Multi-platform

What people use each for

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

Cohere

  • ai tools managementnot Immuta
  • Workflow automationnot Immuta
  • Reportingnot Immuta

Immuta

  • A bank whose Snowflake estate has grown to tens of thousands of roles that no one can review before an auditnot Cohere
  • A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot Cohere
  • A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot Cohere
  • An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot Cohere

Where each one falls short

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

Cohere

  • API-only service with no self-hosted options for most users
  • Trial tier severely limited at 1,000 calls per month
  • Smaller context window compared to some competing APIs
  • Less emphasis on safety and alignment compared to competing APIs

Immuta

  • Contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate
  • Policy is only as good as the data classification underneath it, so an organisation with poorly tagged columns will spend months on classification before Immuta enforces anything useful
  • Native enforcement means capability varies by platform, and a feature available on Snowflake may be absent or behave differently on BigQuery, which undermines the promise of one policy set everywhere
  • Adding an access governance layer creates a new dependency in the path to data: a misconfigured policy silently returns fewer rows rather than erroring, and analysts can act on incomplete results without noticing
  • It governs cloud data platforms, so personal data in operational databases, files and SaaS applications sits outside its scope and needs separate controls, meaning Immuta is rarely the whole answer

Pricing, plan by plan

Cohere

Free
  • Free TrialFree
    • Rate limited
    • Evaluation
  • Production$0.4
    • Full access
    • SLA

Immuta

On request
  • Immuta PlatformOn request
    • Attribute-based policy authoring
    • Native enforcement in supported data platforms
    • Dynamic masking and row-level security

Which should you pick?

Choose Cohere if

  • You need generate.
  • You want to start without paying.
  • You work on API, Web.
  • You also want embed.

Choose Immuta if

  • You need attribute-based policy.
  • You work on Web, API.
  • You also want native enforcement.

Questions people ask

Is Cohere or Immuta better?
Neither clearly leads. Cohere starts at Free and Immuta at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cohere or Immuta?
Cohere has a free tier; the other does not. Paid plans start at Free for Cohere and On request for Immuta.
Does Cohere or Immuta run on more platforms?
Cohere runs on API, Web. Immuta runs on Web, API.
Can I use Cohere for free?
Yes. Cohere has a free tier, so you can try it without paying. Immuta starts at On request.
What is Cohere best used for?
Cohere is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Immuta is typically brought in for.
What can Cohere do that Immuta cannot?
Cohere covers Generate, Embed, Rerank, Classify. Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering.

Answered from the vendors’ own pages

Cohere: Does Cohere offer a free tier?

Yes. Cohere provides Trial API keys that allow 1,000 free API calls per month across all models and endpoints. Trial keys are rate-limited to 20 requests per minute for Chat endpoints and 5-10 requests per minute for other endpoints, and cannot be used for production or commercial purposes.

Source
Immuta: Does Immuta sit in the query path?

No. It compiles policies into the data platform's own native controls, so queries run at normal speed through your existing tools.

Cohere: What is the cost structure for production use?

Cohere uses pay-as-you-go pricing based on tokens consumed. Costs vary by model: Command costs from 0.15 to 2.50 USD per 1M input tokens, with output tokens priced higher. Embed models cost 0.10 USD per 1M input tokens. Production keys have monthly billing with invoices at month-end or when charges reach 250 USD.

Source
Immuta: What does it cost?

Not published. Market data suggests roughly 100,000 to 200,000 US dollars a year for mid-market deployments and considerably more at enterprise scale.

Cohere: Can I self-host Cohere models?

No. Cohere operates as an API-only platform. However, enterprise customers can arrange dedicated or managed deployments through the Model Vault platform starting at 4.00 USD per hour with custom pricing for dedicated instances.

Source
Immuta: Is Immuta still independent?

Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.

Cohere: What are the main differences between Cohere and Claude API?

Cohere excels in cost-effective NLP applications and retrieval-augmented generation (RAG) capabilities. Claude API emphasizes reasoning and safety with Constitutional AI training. Cohere's Command R+ offers similar performance to GPT-4 at 40-50 percent lower cost, while Claude focuses on factual accuracy and transparency.

Source
Immuta: Does it work across more than one warehouse?

Yes, one policy set can target Snowflake, Databricks, BigQuery and Starburst, though enforcement capability varies by platform.

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