Prefect vs Make
Four of fourteen models named Prefect first on the direct prompt; two named Make. Prefect was named by fourteen of the fourteen models and Make by twelve and Prefect carries 58 labels and Make 29, so the shares are not directly comparable.
Named in three categories this edition.
Named in three 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 workflow orchestration page.
By framing
PrefectFirst choices, of fourteen modelsMake
Across every category in the November 2026 Edition, Prefect and Make were named in the same answer fifty-six times, of the 175 answers naming Prefect and the 155 naming Make. In those answers Make took the first choice eleven times and Prefect twelve.
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 | | | | |
Prefect Make first choice named as an alternative argued againstblank: not namedEach cell is one answer, Prefect on the left and Make on the right.The direct prompt
Prefect first, Make an alternative
4 of 14 modelsMake was named in the answer but not as the choice, or not at all.Make first, Prefect not the choice
2 of 14 modelsPrefect was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
Prefect25%#1 of 16Make9%#5 of 16What the models said about Prefect
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Prefect's concurrency controls are less granular than Airflow's pool system” Claude Haiku 4.5 · negative prompt · soft negative
“Prefect if you want the easiest learning curve and don't have dedicated platform engineers - the free tier is genuinely usable for small teams” MiniMax M2.5 · budget prompt · first choice
“The recommended data pipeline orchestrator for a mid-sized B2B company is Prefect, as it is the most popular choice among the top results.” Llama 4 Maverick · paraphrase prompt · first choice
“Prefect if you want a simpler developer experience and can keep costs low with a small deployment” GPT-5.4 mini · budget prompt · first choice
What the models said about Make
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“It's best avoided for complex or high-volume workflows.” Mistral Small · negative prompt · hard negative
“Zapier, Make, or similar automation tools for high-volume, mission-critical processes” Perplexity Sonar · negative prompt · soft negative
“be cautious for complex, high-scale, or mission-critical orchestration” Grok 4.20 · negative prompt · soft negative
“The Best Overall (Visual & Complex Logic): Make (formerly Integromat) ... Make is currently the strongest contender.” Qwen 3.7 Flash · direct prompt · first choice
“the top recommendation for most mid‑market B2B organizations is: Make (formerly Integromat)” GLM 4.7 FlashX · direct prompt · first choice
“Make is generally considered the best balance between power and cost for most businesses.” Qwen 3.7 Flash · budget prompt · first choice
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.