Softwr

CRM · head to head

Gong vs Level AI

Gong logo

Gong

CRM

Revenue intelligence platform

From
$1600/user-per-year
Rated
-
Level AI logo

Level AI

Customer Support

AI quality assurance and agent assist for mid-market and enterprise contact centres

From
On request
Rated
-

The short version

  • Each has a real cost: Gong pricing not published; custom quotes and high platform fees make budget forecasting difficult; Level AI pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.
  • They diverge on capability: Gong covers Call recording, Level AI covers Automated QA scoring.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Gong and Level AI actually diverge.

Attributes where Gong and Level AI differ
AttributeGongLevel AI
Starting price$1600/user-per-yearOn request
Pricing modelUnknownquote
PlatformsWeb, Cloud-based SaaSWeb
CategoryCRMCustomer Support
Founded2016Unknown

Identical on both: 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 Gong

  • Call recording
  • AI transcription
  • Deal intelligence
  • Market intelligence
  • Team coaching
  • Salesforce
  • HubSpot
  • Zoom

Only in Level AI

  • Automated QA scoring
  • Semantic intent search
  • Agent assist
  • Coaching workflows
  • Custom scorecards
  • Voice of customer analytics
  • Dispute and calibration
  • CCaaS integrations

What people use each for

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

Gong

  • Call analysisnot Level AI
  • Deal forecastingnot Level AI
  • Sales coachingnot Level AI
  • Win/loss analysisnot Level AI

Level AI

  • A 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding QA headcountnot Gong
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Gong
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Gong
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Gong

Where each one falls short

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

Gong

  • Pricing not published; custom quotes and high platform fees make budget forecasting difficult
  • Built for sales calls only; limited contact center and multi-channel conversation coverage
  • Forecasting and Engage modules use keyword-based analysis with 20-30 minute processing delay, not generative AI
  • Conversation analysis cannot capture internal buyer meetings or decision-making discussions

Level AI

  • Pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.
  • Integration to each contact centre or CRM system is charged as a separate implementation fee, which means a team running voice on one platform and chat on another pays twice before a single interaction is scored.
  • The unit economics do not work below roughly a hundred agents; smaller teams get quoted enterprise minimums that cost more than the QA analyst they were trying to avoid hiring.
  • Automated scores are only as good as the scorecard behind them, and the calibration work to get semantic questions scoring consistently falls on your QA team over several weeks before anyone trusts the output.
  • Transcription and semantic accuracy degrade on heavily accented speech, poor telephony audio and languages outside the main supported set, so multilingual operations often end up running manual QA in parallel for some queues anyway.

Pricing, plan by plan

Gong

$1600/user-per-year

No published plan breakdown. See the Gong review.

Level AI

On request
  • Level AI$undefined/year
    • Automated QA on all interactions
    • Custom scorecards
    • Semantic search

Which should you pick?

Choose Gong if

  • You need call recording.
  • You work on Web, Cloud-based SaaS.
  • You also want ai transcription.

Choose Level AI if

  • You need automated qa scoring.
  • You also want semantic intent search.

Questions people ask

Is Gong or Level AI better?
Neither clearly leads. Gong starts at $1600/user-per-year and Level AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Gong or Level AI?
Gong starts at $1600/user-per-year and Level AI at On request.
Does Gong or Level AI run on more platforms?
Gong runs on Web, Cloud-based SaaS. Level AI runs on Web.
What is Gong best used for?
Gong is most often used for call analysis, deal forecasting, sales coaching, win/loss analysis. Of those, call analysis and deal forecasting are not what Level AI is typically brought in for.
What can Gong do that Level AI cannot?
Gong covers Call recording, AI transcription, Deal intelligence, Market intelligence. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.

Answered from the vendors’ own pages

Gong: How much does Gong cost?

Gong pricing starts around $1,600 per user per year, with a mandatory platform fee of $5,000-$50,000 annually. Exact pricing is custom and requires a sales consultation.

Source
Level AI: Does Level AI publish pricing?

No. Quotes are built per deployment from agent count, channel mix and product modules, and integration fees are added on top.

Gong: Does Gong integrate with Salesforce?

Yes. Gong integrates with Salesforce via REST API to import account data and export conversation summaries, enabling searchable calls by CRM fields.

Source
Level AI: Can it replace our QA analysts?

It replaces the sampling and scoring work, not the judgement. Teams typically keep analysts for calibration, disputes and coaching design.

Gong: What conversations can Gong capture?

Gong was built primarily for sales call analysis and captures calls through integrations with major dialer systems. Coverage for contact center and multi-channel conversations is limited.

Source
Level AI: Does it work without a cloud contact centre platform?

It needs recordings and metadata from somewhere. If your telephony does not expose those through an integration or API, this is not a fit.

Gong: Does Gong have an on-premise option?

Gong is a cloud-based SaaS platform without an on-premise deployment option. All conversation analysis and storage occurs in Gong's cloud infrastructure.

Source
Level AI: How long does implementation take?

Expect weeks, not days. Connecting systems is quick; getting scorecards calibrated to the point where team leaders act on the scores takes longer.

Share

Related pages

Other head to heads