Zero of fourteen models named Better Stack first on the direct prompt; two named Coralogix. Better Stack was named by ten of the fourteen models and Coralogix by eleven and Better Stack carries 19 labels and Coralogix 24, so the shares are not directly comparable.
Named in eight categories this edition.
Named in six 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 log management page.
| 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 |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“or Coralogix if cost predictability and cloud-native architecture are more important. Both offer strong value propositions at the mid-market level” MiniMax M2.5 · paraphrase prompt · first choice
“Datadog gives the fastest time to value and ecosystem, while ManageEngine EventLog Analyzer or Coralogix are the common cost-conscious alternatives” Muse Glimmer 30B · direct prompt · first choice
“Coralogix | Best Overall for Mid-Market” Gemini 3.5 Flash · direct 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.