Fireflies.ai pricing, features and alternatives
Fireflies.ai is worth buying when you want every customer meeting transcribed and searchable across more roles than a conversation intelligence budget stretches to. Fireflies.ai pricing is free to try, then $10, $19 or $39 per seat per month on annual billing. Storage, not features, is what separates the tiers, and that is the number that decides your plan.
Pricing checked against Fireflies.ai's pricing page.
The short answer
Buy Fireflies.ai if you want transcripts for sales, customer success and sales engineers without paying revenue intelligence rates per seat. Ten seats on Business is $2,280 a year on annual billing, which includes unlimited storage, conversation intelligence and team analytics, and it is the first tier where an admin rather than a rep decides what gets recorded.
Skip it if you need manager scorecards and structured coaching, where a coaching-first platform goes further, or if you want forecast and deal-risk analysis from call data, which is Gong territory and a quote rather than a rate. Skip it too if your buyers react badly to recording bots and you cannot control which calls get joined.
Where Fireflies.ai fits
Fireflies.ai fits a team that wants coverage rather than depth. The pitch is transcripts and recaps for everyone who meets customers, not only the quota carriers a conversation intelligence seat is reserved for, and at $10 to $19 per seat per month on annual billing that is a realistic thing to buy for a whole department. Its bot, called Fred, joins from connected calendars across Zoom, Google Meet and Microsoft Teams, so one recorder covers all three.
Storage decides which plan is viable, and most teams get this wrong on the first pass. Free caps at 400 minutes for the entire team, under seven hours, which is an evaluation allowance rather than a plan. Pro allows 8,000 minutes per seat, about 133 hours per person, which a rep in back-to-back customer calls can spend inside a quarter. Once recordings start aging out of a shared archive the coaching and enablement use case collapses, so teams that search old calls are buying Business for unlimited storage rather than for the analytics.
Transcription quality is the thing people stay for, and the number worth quoting carefully. Independent reviewers estimate 90 to 95% accuracy on clear audio, which is a third-party estimate rather than a vendor figure, and one Reddit user who ran it through 33 meetings praised the hands-off auto-join. Clear audio is the qualifier that matters. Noisy calls, strong accents and your own product and competitor vocabulary are where accuracy drops, and they are the conditions your real calls happen in.
Bot etiquette is a rollout decision and it belongs in the plan rather than in an apology. An auto-joining recorder will record internal one-to-ones alongside customer calls unless somebody sets rules, and admin control over what Fred joins starts on Business. That means the two cheapest plans are the ones where an individual rep decides what the company keeps, which is a governance fact rather than a feature gap. Settle the rules and the prospect notice before the first rollout day, and our vendor security review checklist covers the recording, retention and access questions legal will raise.
Where it stops is as useful to know as where it starts. Coaching and deal analysis are thinner here than in a dedicated revenue intelligence platform, and there is no forecast or deal-risk layer at all. If a manager needs scorecards and a pipeline risk view rather than a searchable archive, you are shopping in the conversation intelligence part of the catalogue at several times the price. If the job is a transcript everyone can find, Fireflies.ai is the honest answer and the AI meeting assistants directory holds its closest competitors.
Fireflies.ai pricing
Fireflies.ai publishes all four of its tiers, which makes it one of the easier purchases in this category to model. The figures verified in our September 2026 check are Free at $0, Pro at $10 per seat per month billed annually ($18 monthly), Business at $19 ($29 monthly) and Enterprise at $39 per seat per month on annual billing only. Volume discounts for 50 or more seats are quoted rather than listed. Storage separates the tiers more than features do.
Tiers and the storage that defines them
- Free
- $0. Transcription and limited AI summaries, with 400 minutes of storage for the whole team, which is under seven hours.
- Pro
- $10 per seat per month billed annually, $18 monthly. Unlimited summaries and 8,000 minutes of storage per seat, about 133 hours per person.
- Business
- $19 per seat per month billed annually, $29 monthly. Unlimited storage, conversation intelligence, team analytics, and admin control over what gets recorded.
- Enterprise
- $39 per seat per month, annual billing only. SSO and SCIM, HIPAA support, private storage and custom retention.
- AI credits
- A small monthly allowance on every plan: 20 on Free and Pro, 30 on Business, 50 on Enterprise. We found no published rate for extra credits.
What ten seats cost
For a ten-seat sales team Business is the usual landing spot, because it is the first tier with conversation intelligence and team analytics: 10 x $19 x 12 = $2,280 a year on annual billing, against $3,480 month to month. Pro at the same seat count is $1,200 a year annually or $2,160 monthly, and Enterprise is $4,680. So the step from Pro to Business costs $1,080 a year for ten seats, and the step from Business to Enterprise costs $2,400.
The billing-cadence saving is larger than it first looks. The pricing page advertises up to 44% off, which is the same arithmetic read the other way: monthly billing costs 80% more on Pro, $18 against $10, and 53% more on Business, $29 against $19. On a ten-seat Business plan that is $1,200 a year for the privilege of paying monthly, more than half the annual price of the plan itself. If cash flow is the reason you were going to pay monthly, price the annual commitment first.
At 50 seats Business lists at 50 x $19 x 12 = $11,400 a year before any quoted volume discount, and that is the point to stop accepting the list price and ask for one. Fireflies.ai says discounts exist above 50 seats without saying what they are, so the number you pay at that size is a negotiation. Get the per-seat rate, the retention period and the export path in writing, because a transcript archive you cannot export is a switching cost rather than an asset.
The two costs that are not published
Every plan includes a small monthly allowance of AI credits, 20 on Free and Pro, 30 on Business and 50 on Enterprise, and we could not find a published rate for extra credits. Ask how heavy AI use is billed before rolling it out to a whole team, because that is the one line on this page we cannot price for you. The second unpublished cost is the volume discount above 50 seats, which exists by Fireflies.ai's own description and is quoted rather than listed. Everything else here is on the pricing page, which is more than most of this category manages.
Fireflies.ai pricing is published, cheap and governed by storage. Ten seats on Business is $2,280 a year on annual billing with unlimited storage, Pro at $1,200 works until a rep exhausts 8,000 minutes, and paying monthly costs 53% more on Business. Ask for the AI credit overage rate and the export path, and read how we check vendor pricing for what we verify and what we do not.
What Fireflies.ai gives up
You give up unlimited storage below $19 per seat per month. Pro's 8,000 minutes per seat sounds generous until you divide it: 133 hours is a quarter of customer calls for a busy rep, and when the oldest recordings start aging out, the archive stops being searchable in the way that justified buying it. If the point is to search calls from two quarters ago, Business is the plan and Pro is a false economy.
You give up admin control on the cheap tiers. Restrictions on what Fred joins and who can view a recording start on Business, which means that on Free and Pro the individual user largely decides what the company records and keeps. That is the single most important thing to understand before a department-wide rollout, because the governance question arrives from legal rather than from sales.
You give up coaching structure. There are transcripts, recaps, search and team analytics; there are no manager scorecards and no structured coaching program. Teams that want the review to follow a rubric should bring their own, and our sales call scorecard is the version that works alongside a transcript tool rather than inside one. If the coaching workflow has to be in the product, Avoma at $19 to $39 per seat per month on annual billing is the closer fit.
You give up forecast and deal-risk analysis entirely. Nothing here reads your pipeline or tells you which deals have gone quiet. That is the difference between a meeting assistant and a revenue intelligence platform, and it is roughly the difference between $2,280 a year for ten seats and a quoted contract. Decide which product you are buying before you compare them, because the feature lists overlap and the jobs do not.
You give up predictability on heavy AI use. The credit allowances are small, the overage rate is not published, and we could not establish it from vendor material. For a team planning to run AI summaries and asks across every meeting, that is a real gap in the model rather than a rounding error. Get the rate in writing before you roll it out, and keep the answer next to the licence line in our sales tool business case template.
How Fireflies.ai compares
This category divides cleanly on whether you are buying coverage or coaching. Fireflies.ai, Otter.ai and Fathom compete on cheap, accurate transcripts for as many people as possible, and all three publish per-seat rates you can model in a spreadsheet. Avoma sits one step up, adding coaching workflow for roughly double the price, with add-ons that are themselves per seat. Gong is the other category entirely: quote-only, enterprise, and worth it when managers already run a review cadence rather than when you want notes. Note that Grain, which buyers often shortlist alongside Fireflies.ai, publishes no rate for its paid tiers at all, so we have left it out rather than estimate one. Every figure traces to our September 2026 pricing check.
| Tool | Best for | Price | Where it breaks |
|---|---|---|---|
| Fireflies.ai | Team-wide transcription and search across a shared archive | Free, then $10, $19 or $39/seat/mo (annual) | Pro's 8,000 minutes per seat ages out, admin recording controls start on Business, and AI credit overage is unpublished |
| Fathom | Fast, clean summaries on individual calls | Free, then $16 to $25/user/mo (annual); Enterprise quoted | Individual-first, so team-wide search and analytics are thinner |
| Otter.ai | General meeting notes across a whole company | Free, then $8.33 or $19.99/user/mo (annual) | Leans general rather than sales, so conversation analytics are shallower |
| Avoma | Transcripts plus a coaching workflow in one tool | $19 to $39/seat/mo (annual), add-ons $29/seat/mo each | Per-seat add-ons stack quickly, and it is still not a revenue intelligence platform |
| Gong | Enterprise coaching, deal inspection and forecast support | Custom quote; per-user licenses plus a platform fee | Nothing published, the platform fee does not scale down, and value needs existing manager habits |
What to test in a Fireflies.ai trial
The free tier gives you 400 minutes of storage for the whole team, so under seven hours of recordings. That is enough for every test below if you spend it on your own worst audio rather than on a clean internal call. Decide the bot rules before you start, because the first awkward moment with a prospect is the expensive one.
- Transcribe your three worst calls: the noisy one, the one with a strong accent, and the one full of product and competitor names. The 90 to 95% accuracy estimate applies to clear audio, so this is the test that tells you your real number.
- Add custom vocabulary for your product and competitor names and transcribe the same calls again. The improvement, or its absence, is what you are buying.
- Divide 8,000 minutes by your busiest rep's real monthly call hours and see how many months Pro lasts them. If the answer is under a year, price Business.
- Set rules for which meetings Fred joins and then try to break them by booking an internal one-to-one. On Free and Pro you will find the rep decides, which is the governance question in miniature.
- Search a month of real meetings for a competitor mention and for a specific objection. Team-wide search is the reason to pick this over a single-user assistant, so test it rather than assume it.
- Check which CRM objects a recap updates on your intended tier, and whether a rep can review the notes before they sync. An unreviewed AI summary writing to an opportunity record is a data quality decision, not a convenience.
- Ask for the AI credit overage rate and the export path in writing before you buy, since neither is published. Then ask what your retention period is and who can delete a recording.
Fireflies.ai questions buyers ask
- How much does Fireflies.ai cost per month?
- Pro is $18 a seat per month billed monthly, or $10 on annual billing, and Business is $29 monthly or $19 annually. Enterprise is $39 a seat per month on annual billing only, and there is a free tier at $0. A 10-seat Business team pays $2,280 a year annually (checked September 25, 2026).
- What does Fireflies.ai cost for a 10-seat team?
- On annual billing, $1,200 a year on Pro, $2,280 on Business and $4,680 on Enterprise. Paying monthly instead costs $2,160 and $3,480 on Pro and Business. Business is the usual pick because it is the first tier with conversation intelligence, team analytics and unlimited storage.
- Is Fireflies.ai completely free?
- There is a free tier, but it is capped at 400 minutes of storage for the whole team, which is under seven hours of recorded calls, and its AI summaries are limited. It works for evaluating the product on a handful of meetings. Any team using it daily lands on Pro at $10 a seat per month billed annually.
- Who can see a recording of my call in Fireflies.ai?
- That depends on your plan. Admin control over what gets recorded sits on Business and Enterprise, so on Free and Pro the individual user largely decides. Enterprise adds private storage, custom retention, SSO and SCIM. Ask your admin which plan you are on before assuming a call is private, and confirm recording consent rules for your jurisdiction.
- Does Fireflies.ai record phone calls?
- Fireflies.ai is sold as a meeting note taker, and its pricing page lists transcription, summaries and storage rather than telephony. Treat phone and dialer capture as something to confirm in a demo against your actual phone system, and test the audio path end to end before you commit a team to it.
- Is Fireflies.ai trustworthy?
- The controls that matter are tiered rather than universal. HIPAA support, private storage and custom retention are Enterprise features at $39 a seat per month on annual billing, and admin recording controls start on Business. Review those terms against your own data policy rather than treating the free tier as representative.
- Is Fireflies.ai better than Fathom?
- Fathom is usually preferred for fast, clean summaries on individual calls. Fireflies.ai is chosen for team-wide transcription, search across a shared archive and the analytics on Business. Our Fireflies.ai and Fathom comparison runs the two against the same use cases.
- Is Otter or Fireflies better?
- Otter.ai leans toward general meeting notes across a company, while Fireflies.ai leans toward sales conversations, with conversation intelligence on its $19 Business tier. Test both on the same week of real calls, because transcription accuracy on your audio decides this more than the feature lists do.
- Is Read AI better than Fireflies?
- Read AI is the usual alternative when meeting engagement metrics matter more than a searchable transcript archive. Fireflies.ai is stronger where a manager needs to search calls nobody on the team flagged. If coaching from recordings is the goal, Grain and Fireflies.ai is a closer comparison.
- How accurate is Fireflies.ai?
- Reviewers estimate 90 to 95 percent accuracy on clear audio, which is a third-party estimate rather than a vendor figure. Expect worse on noisy calls, heavy accents and product-specific terms. Run a free-tier test on your own recordings before buying, keeping in mind the 400-minute storage cap.