One of fourteen models named Redpanda first on the direct prompt; zero named Amazon MSK. Both were named by all fourteen models and Redpanda carries 54 labels and Amazon MSK 37, 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 streaming platforms page.
Across every category in the November 2026 Edition, Redpanda and Amazon MSK were named in the same answer eighty-four times, of the 153 answers naming Redpanda and the 114 naming Amazon MSK. In those answers Amazon MSK took the first choice three times and Redpanda fourteen.
| 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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Review the license carefully if you plan to build a service on top of it or depend on enterprise features.” GPT-6 Luna · negative prompt · soft negative
“Apache Kafka (including Confluent Cloud, MSK, Redpanda, etc.) ... Can become complex to operate at scale” GLM 4.7 FlashX · negative prompt · soft negative
“check its documented compatibility limits against your specific Kafka features and clients” GPT-6 Luna · comparative prompt · soft negative
“Redpanda Cloud: Kafka-compatible, C++ architecture (no Java JVM tuning), ultra-fast performance, simple operations, cost-effective for high throughput.” Gemini 3.5 Flash · scale prompt · first choice
“Needs Kafka API + Lowest Infra Cost | Redpanda (Community) | Saves up to 60–80% on compute vs Kafka; no JVM.” Gemini 3.5 Flash · budget prompt · first choice
“Aiven or Redpanda – These are often cited as the best choices for small to mid-market companies” Mistral Small · direct 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.
“Apache Kafka (including Confluent Cloud, MSK, Redpanda, etc.) ... Can become complex to operate at scale” GLM 4.7 FlashX · negative prompt · soft negative
“Amazon MSK has seen a decline in preference among some mid-market companies due to cost and complexity” Mistral Small · negative prompt · soft negative
“AWS MSK Serverless has a free tier for testing, but avoid full managed for cost” Grok 4.20 · budget prompt · soft negative
“Choose AWS MSK if 100% of your stack is on AWS and you want simple IAM security and consolidated cloud billing.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Start with managed Kafka (Confluent Cloud or MSK) for 6-12 months to validate use cases” GLM 4.7 FlashX · scale prompt · first choice
“Great if you are heavily locked into AWS infra and want to keep vendor procurement simple, though developer tooling & UI are basic.” Gemini 3.5 Flash · scale 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.