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AI voice agents · November 2026 Edition

CloudTalk vs Synthflow

Eight of fourteen models named CloudTalk first on the direct prompt; one named Synthflow. CloudTalk was named by twelve of the fourteen models and Synthflow by twelve and CloudTalk carries 23 labels and Synthflow 36, so the shares are not directly comparable.

CloudTalk

accepted challenger

Named in nine categories this edition.

Synthflow

accepted challenger

Named in one category this edition.

First-choice share25%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 8; printed, not drawn.
Labels2336A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, CloudTalk reading right to left. Rank and label count are printed, not drawn.Retell AI was named alongside these two in eleven of the fourteen direct answers. CloudTalk vs Retell AI · CloudTalk vs Vapi · CloudTalk vs PolyAI

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 AI voice agents page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CloudTalkFirst choices, of fourteen modelsSynthflow
Direct811 against Synthflow
Paraphrase501 against Synthflow
Comparative00
Budget-constrained01
Scale-constrained00
Negative004 against Synthflow
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 CloudTalk and Synthflow stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
CloudTalk Synthflow first choice named as an alternative argued againstblank: not namedEach cell is one answer, CloudTalk on the left and Synthflow on the right.

The direct prompt

The plain question, one answer per model, grouped by where CloudTalk and Synthflow stood in it.

CloudTalk first, Synthflow an alternative

8 of 14 modelsSynthflow was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Aloware, CloudTalk alternatives: ElevenLabs Agents, Retell AI, Synthflow, Vapi
Perplexity SonarCloudTalk alternatives: Retell AI
Grok 4.20CloudTalk alternatives: Retell AI, Vapi
DeepSeek V4 FlashCloudTalk alternatives: ElevenLabs Conversational AI, JustCall, Retell AI, Synthflow, Vapi
Llama 4 MaverickCloudTalk
Qwen 3.7 FlashCloudTalk alternatives: Cresta, Microsoft Copilot Studio, Retell AI, Synthflow AI, Vapi
MiniMax M2.5CloudTalk, Five9 alternatives: Retell AI, Synthflow
Muse Glimmer 30BCloudTalk alternatives: Nextiva XBert, Retell AI, Vapi

Synthflow first, CloudTalk not the choice

1 of 14 modelsCloudTalk was named in the answer but not as the choice, or not at all.
Mistral SmallKore.ai, Synthflow alternatives: Girikon AI

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Kimi K2Retell AI alternatives: CloudTalk, Synthflow
GLM 4.7 FlashXRetell AI alternatives: Aircall, CloudTalk, Synthflow, Vapi
GPT-6 LunaRetell AI alternatives: PolyAI, Synthflow, Vapi

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniTalkdesk alternatives: ElevenLabs, Genesys Cloud CX, OpenAI Presence, Vapi
Gemini 3.5 FlashRetell AI alternatives: Regal.io, Sierra, Synthflow AI, Vapi

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
CloudTalk leads by six points.
CloudTalk12%#2 of 11
Synthflow6%#5 of 11
The full small business standing →
Mid-marketThe figures above
CloudTalk leads by twenty-one points.
CloudTalk25%#1 of 8
Synthflow4%#4 of 8
The full mid-market standing →
Enterprise
The order flips: Synthflow leads at enterprise.
Synthflow19%#1 of 12
CloudTalk2%#– of 12
The full enterprise standing →

What the models said about CloudTalk

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

“Start with CloudTalk if your mid-market B2B focus is on integrated sales/support without deep coding—it's the most "plug-and-play"” Grok 4.20 · direct prompt · first choice

What the models said about Synthflow

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

“Mistral Small warns that Synthflow may not scale well for call volumes exceeding 5,000 calls per month.” Llama 4 Maverick · negative prompt · hard negative
“Avoid if you're running high call volumes on a tight budget.” Mistral Small · negative prompt · hard negative
“Synthflow, Cognigy, Kore.ai etc. are better for larger enterprise governance needs and longer implementations.” Muse Glimmer 30B · direct prompt · soft negative
“For a company with a limited budget, Synthflow is likely the best overall choice” Perplexity Sonar · budget prompt · first choice
“Kore.ai and Synthflow are the best options” Mistral Small · direct prompt · first choice
“Synthflow is ideal for mid-size and enterprise contact centers that want a managed, no-code rollout.” Claude Haiku 4.5 · direct prompt · alternative
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.