Two of fourteen models named Grafana Cloud first on the direct prompt; zero named Fluent Bit. Grafana Cloud was named by eight of the fourteen models and Fluent Bit by eleven and Grafana Cloud carries 17 labels and Fluent Bit 22, so the shares are not directly comparable.
Named in seven categories 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 telemetry pipelines 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 4.1 Fast | ||||||
| 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. Four of five in this category shown.
“these are signal-specific, not full pipelines like modern ones” Grok 4.1 Fast · comparative prompt · soft negative
“Use a dedicated pipeline (e.g., OpenTelemetry Collector, Fluent Bit) for filtering, sampling, redaction, enrichment upstream before backends.” Grok 4.1 Fast · negative prompt · first choice
“I'd recommend starting with Vector or Fluent Bit.” MiniMax M2.5 · paraphrase prompt · first choice
“Running Kubernetes and want lightweight log collection | Fluent Bit (agent) + Vector (aggregator)” DeepSeek V4 Flash · 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.