Zero of fourteen models named Datadog Synthetic Monitoring first on the direct prompt; zero named New Relic Synthetics. Datadog Synthetic Monitoring was named by fourteen of the fourteen models and New Relic Synthetics by thirteen and Datadog Synthetic Monitoring carries 50 labels and New Relic Synthetics 31, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 website and synthetic monitoring page.
Across every category in the November 2026 Edition, Datadog Synthetic Monitoring and New Relic Synthetics were named in the same answer eighty-six times, of the 145 answers naming Datadog Synthetic Monitoring and the 91 naming New Relic Synthetics. In those answers New Relic Synthetics took the first choice two times and Datadog Synthetic Monitoring nineteen.
| Model | DirectDS | ParaphraseDS | ComparativeDS | Budget-constrainedDS | Scale-constrainedDS | NegativeDS |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | DS | DS | ||||
| GPT-5.4 mini | DS | DS | DS | |||
| Gemini 3.5 Flash | DS | DS | DS | DS | ||
| Perplexity Sonar | DS | DS | DS | |||
| Grok 4.20 | DS | DS | DS | DS | DS | DS |
| Mistral Small | DS | DS | ||||
| DeepSeek V4 Flash | DS | DS | DS | DS | DS | |
| Llama 4 Maverick | DS | DS | ||||
| Qwen 3.7 Flash | DS | DS | DS | DS | DS | |
| Kimi K2 | DS | DS | DS | |||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | DS | DS | DS | |||
| GPT-6 Luna | DS | DS | DS | |||
| Muse Glimmer 30B | DS | DS | DS |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Some users recommend avoiding it if your primary need is uptime monitoring, as costs can spiral” Mistral Small · negative prompt · hard negative
“Datadog stands out for cloud-native and AI features but has a steeper learning curve and higher cost.” Grok 4.20 · comparative prompt · soft negative
“For a pure uptime tool, Datadog is often too expensive and heavy for a standard mid-market setup” Qwen 3.7 Flash · direct prompt · soft negative
“If I had to recommend one, I'd lean toward Datadog Synthetic Monitoring for its depth of integration, scalability” MiniMax M2.5 · paraphrase prompt · first choice
“Balanced growth stack: Checkly for synthetic browser/API journeys + Datadog RUM/Synthetics for DEM.” Muse Glimmer 30B · paraphrase prompt · first choice
“Best Overall: Datadog Synthetic Monitoring + RUM” DeepSeek V4 Flash · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Often considered overkill for small to midsize businesses and can be expensive.” Mistral Small · negative prompt · soft negative
“These add significant depth but higher cost and complexity.” Grok 4.20 · scale prompt · soft negative
“Overkill (and expensive) for uptime monitoring alone.” DeepSeek V4 Flash · direct prompt · soft negative
“I'd recommend New Relic as the best balance of cost, capability, and ease of adoption” DeepSeek V4 Flash · paraphrase prompt · first choice
“My default recommendation: New Relic” GPT-6 Luna · paraphrase prompt · first choice
“Site24x7 or New Relic (both offer strong synthetic + RUM/DEM bundles with good mid-market pricing” Grok 4.20 · paraphrase 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.