Zero of fourteen models named Fluent Bit first on the direct prompt; zero named Grafana Loki. Fluent Bit was named by eleven of the fourteen models and Grafana Loki by twelve and Fluent Bit carries 22 labels and Grafana Loki 15, so the shares are not directly comparable.
Named in one category this edition.
Named in eight 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 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.
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
No label in this category carried a quote.
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.