Eleven of fourteen models named Apollo.io first on the direct prompt; one named UpLead. Apollo.io was named by fourteen of the fourteen models and UpLead by eight and Apollo.io carries 72 labels and UpLead 14, so the shares are not directly comparable.
San Francisco, United States, founded 2015. Named in twenty-six categories this edition.
Los Angeles, United States, founded 2017. Named in six 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 data enrichment 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. One of one in this category shown.
“data accuracy and billing are the top pain points at scale” Muse Glimmer 30B · negative prompt · hard negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Limited coverage/filters; varying accuracy across industries; poor support.” Grok 4.1 Fast · negative prompt · soft negative
“Top Recommendation: UpLead” Qwen 3.7 Flash · direct prompt · first choice
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.