Atera vs Syncro
One of fourteen models named Atera first on the direct prompt; zero named Syncro. Both were named by all fourteen models and Atera carries 64 labels and Syncro 40, so the shares are not directly comparable.
Named in twelve categories this edition.
Named in four categories this edition.
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 remote monitoring and management page.
By framing
AteraFirst choices, of fourteen modelsSyncro
Across every category in the November 2026 Edition, Atera and Syncro were named in the same answer 128 times, of the 361 answers naming Atera and the 147 naming Syncro. In those answers Syncro took the first choice two times and Atera twenty-nine.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | | |
Atera Syncro first choice named as an alternative argued againstblank: not namedEach cell is one answer, Atera on the left and Syncro on the right.The direct prompt
Atera first, Syncro not the choice
1 of 14 modelsSyncro was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.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
Atera34%#2 of 11Syncro6%#4 of 11What the models said about Atera
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Per-technician pricing models make Atera and Syncro incredibly attractive for small MSPs... these platforms often lag in advanced feature sets” Gemini 3.5 Flash · negative prompt · soft negative
“Atera or Syncro offer the best value because their per-technician pricing means costs don't scale” Kimi K2 · budget prompt · first choice
“Start with trials of NinjaOne and Atera—they're frequently praised for mid-market balance.” Grok 4.20 · scale prompt · first choice
“For beginners/small MSPs: Start with Atera or NinjaOne for quick ROI.” Grok 4.20 · comparative prompt · first choice
What the models said about Syncro
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“expensive when many technicians manage relatively few devices. Model both scenarios before signing.” Perplexity Sonar · negative prompt · soft negative
“as your endpoint count grows into the thousands, these platforms often lag in advanced feature sets” Gemini 3.5 Flash · negative prompt · soft negative
“may not scale well with rapid business growth and could require a platform change in the future” Mistral Small · negative prompt · soft negative
“Atera or Syncro offer the best value” Kimi K2 · budget prompt · first choice
“Similar flat-rate model to Atera with strong built-in ticketing, automated scripting, billing, and no per-endpoint penalties for growth.” Gemini 3.5 Flash · budget prompt · alternative
“A cloud-native RMM that gained massive popularity recently due to its modern interface and aggressive scripting engine.” Qwen 3.7 Flash · comparative prompt · alternative
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.