Two of fourteen models named Cloudflare Load Balancing first on the direct prompt; one named Azure Load Balancer. Cloudflare Load Balancing was named by twelve of the fourteen models and Azure Load Balancer by thirteen and Cloudflare Load Balancing carries 25 labels and Azure Load Balancer 29, 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 load balancers page.
Across every category in the October 2026 Edition, Cloudflare Load Balancing and Azure Load Balancer were named in the same answer twenty-one times, of the 71 answers naming Cloudflare Load Balancing and the 83 naming Azure Load Balancer. In those answers Azure Load Balancer took the first choice zero times and Cloudflare Load Balancing one.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | AL | |||||
| GPT-5.4 mini | AL | |||||
| Gemini 3.5 Flash | AL | |||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | AL | |||||
| Mistral Small | AL | AL | ||||
| DeepSeek V4 Flash | AL | AL | AL | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | AL | |||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | AL | AL | ||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | AL |
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. Three of four in this category shown.
“Ideal for companies needing global traffic steering, failover, and strong DDoS protection... making it a good fit for B2B companies with a global customer base” Mistral Small · direct prompt · first choice
“Best For: B2B SaaS companies, multi-cloud setups, and security-first organizations... Combines global routing with top-tier security at the edge” Gemini 3.5 Flash · direct prompt · first choice
“Best if you want managed service simplicity: Cloudflare Load Balancing ... though managed services can become expensive as usage grows” Perplexity Sonar · budget prompt · alternative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Cloud-native load balancers (AWS ELB, Azure LB, GCP LB) ... may lack deep packet inspection, advanced routing rules, or cross-cloud consistency” MiniMax M2.5 · negative prompt · soft negative
“Traefik is rated higher for value, with reviewers expressing greater satisfaction with its pricing compared to Azure Load Balancer.” Muse Glimmer 30B · budget prompt · soft negative
“excellent within their ecosystems but can lead to vendor lock-in” Mistral Small · negative prompt · soft negative
“Cloud-native load balancers (AWS ALB, Azure LB) are often the best fit” Claude Haiku 4.5 · direct prompt · first choice
“Azure Load Balancer for network-layer distribution, especially in Azure-native environments.” GPT-5.4 mini · direct prompt · alternative
“AWS Elastic Load Balancing, Azure Load Balancer, or Google Cloud Load Balancing” MiniMax M2.5 · budget 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.