Read AI vs Otter.ai vs Fireflies: Real Meeting Intelligence Cost for Teams (2026)
Short answer: Read AI is priced meaningfully higher per seat than Otter or Fireflies specifically because it's positioned around the analytics layer - speaker talk-time, engagement scoring, sentiment - rather than just transcription and summaries. Read AI Pro runs $19.75/user/month ($15 annual), well above Otter Pro ($16.99/$8.49) and roughly double Fireflies Pro ($18/$10). Whether that premium is worth it depends entirely on whether your team will act on engagement/sentiment metrics - these are subjective productivity signals, not proven output measures, and no vendor's pricing page can tell you whether your team will actually change behavior based on a "meeting score."
For plain transcription or alternate note-taking workflows, see Otter vs Fireflies vs Fathom and Granola vs Fathom vs Fireflies.
Pricing at a glance
| Read AI | Otter.ai | Fireflies | |
|---|---|---|---|
| Free tier | 5 meeting transcripts/mo, unlimited enterprise search, basic summaries | 300 min/mo, 30 min/conversation cap | Unlimited transcription/summaries, 20 AI credits/mo |
| Entry paid | Pro: $19.75/mo ($15/mo annual); unlimited transcripts, 100 upload-min/mo, premium integrations | Pro: $16.99/mo ($8.49/mo annual); 1,200 min/mo cap | Pro: $18/mo ($10/mo annual); unlimited transcription |
| Analytics/coaching layer | Speaker talk-time, engagement scoring, sentiment analysis included from Pro | Not a core feature | Conversation intelligence gated to Business tier |
| Video playback / highlights | Enterprise tier ($29.75/$22.50) | Not a distinguishing feature | Business tier and up |
| Mid/upper tier | Enterprise: $29.75/mo ($22.50 annual); 200 upload-min/mo, video playback, SSO | Business: $30/mo ($19.99 annual); unlimited transcription for teams | Business: $29/mo ($19 annual); unlimited storage, 30 AI credits, conversation intelligence |
| Top tier | Enterprise+: $39.75/mo ($29.75 annual), 10-license minimum; HIPAA/BAA, 300 upload-min/mo | Enterprise: custom | Enterprise: $39/mo, annual only; HIPAA, SSO |
| Search across meetings | Included on every tier, including Free | Business tier | Included on all tiers |
What the analytics layer actually costs on top of plain transcription
Comparing entry paid tiers directly: Read AI Pro ($15/mo annual) costs $5/month more than Fireflies Pro ($10/mo annual) and $6.51/month more than Otter Pro ($8.49/mo annual). That premium buys speaker analytics, engagement scoring, and sentiment metrics from the entry tier — Fireflies gates its equivalent "conversation intelligence" feature to its Business tier ($19/mo annual, a $9/month premium over its own Pro), and Otter doesn't offer a comparable analytics layer at any tier as a core differentiator. So the honest incremental cost of "team intelligence" (talk-time, engagement, sentiment) versus plain transcription is:
- Read AI: $0 incremental — it's included from Pro, the entry paid tier.
- Fireflies: $9/month incremental (Pro → Business) to unlock conversation intelligence.
- Otter: not a comparable feature at any tier; Otter doesn't compete on this axis.
Hidden costs to model before you buy
- Read AI's upload credits (for importing pre-recorded audio/video, as opposed to live bot captures) are tightly metered: 100 minutes/month on Pro, 200 on Enterprise, 300 on Enterprise+, resetting monthly with no rollover — a team that regularly uploads recorded calls rather than using the live bot can burn through Pro's allowance and get pushed to Enterprise for reasons unrelated to team size.
- Read AI's Enterprise+ (its HIPAA/BAA tier) has a mandatory 10-license minimum, making the effective entry cost for HIPAA compliance $297.50/month ($29.75 × 10 annual), not the per-seat rate alone.
- Fireflies' AI credits (20/month on Pro) meter its AskFred conversational search separately from the conversation-intelligence analytics — a team paying for Business specifically for analytics may still hit credit limits on the separate AskFred feature.
- None of the three's "meeting score" or engagement metrics are independently validated productivity measures — they are proprietary scoring models specific to each vendor, and a high or low score shouldn't be treated as objectively meaningful without your own validation.
Worked scenarios
5-user team
- Read AI Pro (5 seats, $15/mo annual): $75/month, full analytics layer included.
- Otter Pro (5 seats, $8.49/mo annual): $42.45/month, no analytics layer, 1,200 min/mo cap per user.
- Fireflies Business (5 seats, $19/mo annual, needed for conversation intelligence): $95/month.
- If analytics genuinely matter to this team, Read AI Pro ($75) is cheaper than Fireflies Business ($95) for a comparable feature set; if analytics don't matter, Otter Pro ($42.45) or Fireflies Pro ($50) are both cheaper plain-transcription options.
25-user team
- Read AI Enterprise (25 seats, $22.50/mo annual, for video playback + higher upload limits): $562.50/month.
- Otter Business (25 seats, $19.99/mo annual): $499.75/month, unlimited transcription, no analytics layer.
- Fireflies Business (25 seats, $19/mo annual): $475/month, includes conversation intelligence.
- At this size, Fireflies Business is the cheapest option that includes an analytics layer; Read AI Enterprise costs more but adds video playback and higher per-user upload allowances that Fireflies' equivalent tier doesn't match at the same price.
100-user team
- Read AI Enterprise+ (100 seats, $29.75/mo annual, 10-license minimum easily satisfied): $2,975/month — required if HIPAA/BAA compliance is needed; otherwise Enterprise ($2,250/month) suffices.
- Otter Enterprise: custom-quoted, not modeled here.
- Fireflies Enterprise (100 seats, $39/mo, annual-only): $3,900/month, HIPAA and SSO included.
- At this scale, Read AI's Enterprise+ ($2,975) is cheaper than Fireflies Enterprise ($3,900) for a comparable HIPAA-eligible tier, per hour of active use — though Otter's custom Enterprise pricing was not available for direct comparison and could undercut either at negotiated volume.
Break-even: is the analytics premium worth it?
There is no dollar break-even to calculate here, because engagement scores and sentiment metrics don't have a defined dollar value — they're inputs to a management decision (coaching, process changes), not a cost saved. The honest framing: paying Read AI's premium (or Fireflies' Business-tier premium) for analytics is a bet that your team will act on the data it surfaces. If nobody reviews the engagement dashboard after the first month, the premium is pure sunk cost regardless of how cheap or expensive the underlying number was.
Who pays more — and when the answer flips
For teams that want plain, reliable transcription and search without an analytics layer, Otter and Fireflies' entry tiers are both cheaper than Read AI, with Fireflies edging out Otter on unlimited-transcription value. For teams that specifically want speaker/engagement/sentiment analytics from day one, Read AI's entry tier bakes it in at a lower total cost than forcing Fireflies up to its Business tier for the equivalent feature. Neither path is "right" — the decision hinges on whether your team's actual meeting-improvement process will use the analytics, which this article cannot determine for you.
Limitations and uncertainty
- "Conversation intelligence," "engagement scoring," and "meeting score" style features are proprietary and vendor-specific; we did not treat any vendor's scoring methodology as validated or comparable across vendors, and neither should you when budgeting based on expected productivity gains.
- Read AI's upload-credit limits (100/200/300 minutes by tier) are well-corroborated across sources but should be reconfirmed against read.ai/plans-pricing before committing a team that relies heavily on uploaded (not live-bot) recordings.
- Otter's Enterprise pricing is fully custom and was not available for a direct 100-user comparison; the 100-user scenario above compares only Read AI and Fireflies on list price.
- All per-seat totals assume list pricing at the stated tier; volume negotiation at Enterprise level (all three vendors) can change these figures meaningfully.