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GTM AI Index
Index › Sales › Conversation intel › Fireflies.ai vs Clari Copilot
Conversational intelligence and call recording · October 2026 Edition

Fireflies.ai vs Clari Copilot

Zero of fourteen models named Fireflies.ai first on the direct prompt; zero named Clari Copilot. Fireflies.ai was named by fourteen of the fourteen models and Clari Copilot by eleven and Fireflies.ai carries 36 labels and Clari Copilot 18, so the shares are not directly comparable.

Fireflies.ai

accepted challenger

Named in five categories this edition.

Clari Copilot

accepted challenger

Named in eight categories this edition.

First-choice share16%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%22%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 10; printed, not drawn.
Labels3618A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Fireflies.ai reading right to left. Rank and label count are printed, not drawn.Avoma was named alongside these two in twelve of the fourteen direct answers. Avoma vs Fireflies.ai · Avoma vs Clari Copilot · Fireflies.ai vs Gong

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the conversational intelligence and call recording page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Fireflies.aiFirst choices, of fourteen modelsClari Copilot
Direct00
Paraphrase001 against Fireflies.ai
Comparative01
Budget-constrained802 against Clari Copilot
Scale-constrained011 against Fireflies.ai
Negative002 against Fireflies.ai · 2 against Clari Copilot
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Fireflies.ai and Clari Copilot stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Fireflies.ai Clari Copilot first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fireflies.ai on the left and Clari Copilot on the right.

The direct prompt

The plain question, one answer per model, grouped by where Fireflies.ai and Clari Copilot stood in it.

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastAvoma alternatives: Chorus by ZoomInfo, Clari Copilot, Jiminny
Mistral SmallAvoma, Insight7 alternatives: Fireflies.ai, Gong, RingEX
GPT-6 LunaGong alternatives: Avoma, Clari Copilot, HubSpot's built-in CI
Muse Glimmer 30BAvoma alternatives: Cirrus Insight, CloudTalk, Fireflies.ai, Jiminny

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Avoma alternatives: Jiminny
GPT-5.4 miniGong alternatives: Chorus by ZoomInfo, Revenue.io, Salesloft Conversations
Gemini 3.5 FlashJiminny alternatives: Avoma, Chorus by ZoomInfo, Gong, Outreach Kaia, Salesloft Conversations
Perplexity SonarAvoma alternatives: Fathom, HubSpot Sales Hub, Jiminny, Outreach Kaia
DeepSeek V4 FlashAvoma alternatives: Jiminny
Llama 4 MaverickAvoma, Grain
Qwen 3.7 FlashAvoma alternatives: Chorus by ZoomInfo, Gong, ZIG, tl;dv
Kimi K2Avoma alternatives: Fathom, Jiminny, tl;dv
GLM 4.7 FlashXAvoma alternatives: Chorus by ZoomInfo, Gong, Jiminny
MiniMax M2.5Gong alternatives: Chorus by ZoomInfo, HubSpot Sales Hub, Insight7, Salesloft Conversations

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Fireflies.ai leads by thirty-one points.
Fireflies.ai32%#1 of 11
Clari Copilot2%#– of 11
The full small business standing →
Mid-marketThe figures above
Fireflies.ai leads by fourteen points.
Fireflies.ai16%#2 of 10
Clari Copilot2%#6 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Fireflies.ai0%#9 of 9
Clari Copilot0%#6 of 9
The full enterprise standing →

What the models said about Fireflies.ai

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Documented legal risk: Fireflies.ai and automatic voice capture ... alleges biometric privacy violations under the Illinois Biometric Information Privacy Act” Muse Glimmer 30B · negative prompt · hard negative
“Great starter for small teams, but lacks B2B sales depth (e.g., weak on coaching patterns).” Grok 4.1 Fast · paraphrase prompt · soft negative
“Reviewers frequently cite a failure rate where the bot simply does not join the meeting” Qwen 3.7 Flash · negative prompt · soft negative
“Best overall budget choice: Fireflies.ai — it has the lowest paid pricing in the results at $10/user/month annually” Perplexity Sonar · budget prompt · first choice
“Go with Fireflies.ai — it's the cheapest way to get real conversation intelligence with a solid free tier to test.” DeepSeek V4 Flash · budget prompt · first choice
“For most limited-budget companies, Fireflies.ai gives the widest feature set for the lowest published price” Muse Glimmer 30B · budget prompt · first choice

What the models said about Clari Copilot

No label in this category carried a quote.

Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.