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Machine Learning · head to head

Cohere vs Quadratic

Cohere logo

Cohere

Machine Learning

Enterprise AI platform for NLP

From
Free
Rated
-
Quadratic logo

Quadratic

Spreadsheets

Infinite-canvas spreadsheet that runs Python, SQL and formulas in the same grid

From
Free
Rated
-

The short version

  • Each has a real cost: Cohere aPI-only service with no self-hosted options for most users; Quadratic aI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
  • They diverge on capability: Cohere covers Generate, Quadratic covers Multi-language cells.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Cohere and Quadratic actually diverge.

Attributes where Cohere and Quadratic differ
AttributeCohereQuadratic
Pricing modelusage-basedPer user per month
PlatformsApi, CloudWeb, macOS, Windows, Linux
CategoryMachine LearningSpreadsheets
Founded2019Unknown

Identical on both: starting price (Free), free tier (Yes), 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 Cohere

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

Only in Quadratic

  • Multi-language cells
  • Infinite canvas
  • Direct database connections
  • AI agent in the sheet
  • WebAssembly engine
  • Python package support

What people use each for

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

Cohere

  • ai tools managementnot Quadratic
  • Workflow automationnot Quadratic
  • Reportingnot Quadratic

Quadratic

  • An analyst who wants a SQL result, a Python transformation and a set of manual assumptions visible in one file instead of three toolsnot Cohere
  • Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot Cohere
  • Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot Cohere
  • Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot 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

Quadratic

  • AI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
  • Self-hosting is available only on the Enterprise plan, so an organisation that cannot send data to the vendor cloud has to enter a sales negotiation rather than run a container.
  • Excel and Google Sheets compatibility is partial, so files with heavy conditional formatting, pivot tables or macros do not survive a round trip and have to be rebuilt.
  • The product is young and the connector list is short, covering the main relational databases and two warehouses, so anything else has to be reached through Python code you write and maintain yourself.
  • There is no real mobile editing experience, which matters more than it sounds for a spreadsheet because approvals and quick checks routinely happen on a phone.

Pricing, plan by plan

Cohere

Free
  • Free TrialFree
    • Rate limited
    • Evaluation
  • Production$0.4/per-million-tokens
    • Full access
    • SLA

Quadratic

Free
  • PersonalFree
    • Limited AI usage
    • Limited files and connections
    • Limited sharing
  • Pro$18/month
    • Billed annually
    • 20 USD of AI credits per month
    • Unlimited files
  • Business$36/month
    • Billed annually
    • 40 USD of AI credits per month
    • Advanced permissions
  • Enterprise$undefined/year
    • Quoted
    • Self-hosting option
    • Custom AI usage

Which should you pick?

Choose Cohere if

  • You need generate.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want embed.

Choose Quadratic if

  • You need multi-language cells.
  • You want to start without paying.
  • You work on Web, macOS, Windows, Linux.
  • You also want infinite canvas.

Questions people ask

Is Cohere or Quadratic better?
Neither clearly leads. Cohere starts at Free and Quadratic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cohere or Quadratic?
Cohere starts at Free and Quadratic at Free.
Does Cohere or Quadratic run on more platforms?
Cohere runs on Api, Cloud. Quadratic runs on Web, macOS, Windows, Linux.
Can I use Cohere for free?
Both have a free tier, so you can try either at no cost before committing.
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 Quadratic is typically brought in for.
What can Cohere do that Quadratic cannot?
Cohere covers Generate, Embed, Rerank, Classify. Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet.

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
Quadratic: Do I need to know Python to use it?

No, formulas work on their own, but the reason to choose Quadratic over Google Sheets is the code cells, so a team with no Python will not get the value.

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
Quadratic: What happens when the AI credits run out?

Prompting stops until the next monthly reset or until you move up a plan; the spreadsheet itself keeps working normally.

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
Quadratic: Can it replace a BI tool?

Not for scheduled distribution or governed metrics. It is for exploratory work by one person or a small team, not for dashboards a hundred people read.

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
Quadratic: Is my database query sent to the vendor?

Connections run through the vendor service on all plans except Enterprise self-hosting, which is the option to take if that is unacceptable.

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