Zero of fourteen models named Azure API Management first on the direct prompt; one named Apigee. Azure API Management was named by twelve of the fourteen models and Apigee by fourteen and Azure API Management carries 36 labels and Apigee 43, so the shares are not directly comparable.
Named in three categories this edition.
Named in five 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 API gateways page.
Across every category in the October 2026 Edition, Azure API Management and Apigee were named in the same answer 202 times, of the 253 answers naming Azure API Management and the 349 naming Apigee. In those answers Apigee took the first choice thirty-eight times and Azure API Management eight.
| 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. One of one in this category shown.
“What to Avoid for Mid-Size Budgets - Apigee (Google) — powerful but expensive; pay-as-you-go can reach $400K+/year” DeepSeek V4 Flash · paraphrase prompt · hard negative
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.