Prophix vs Vena
One of fourteen models named Prophix first on the direct prompt; one named Vena. Prophix was named by twelve of the fourteen models and Vena by fourteen and Prophix carries 34 labels and Vena 49, so the shares are not directly comparable.
Named in eight categories this edition.
Named in ten 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 FP&A platforms page.
By framing
ProphixFirst choices, of fourteen modelsVena
Across every category in the November 2026 Edition, Prophix and Vena were named in the same answer 150 times, of the 262 answers naming Prophix and the 468 naming Vena. In those answers Vena took the first choice seven times and Prophix sixteen.
Every model, every framing
| 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 | | | |
Prophix Vena first choice named as an alternative argued againstblank: not namedEach cell is one answer, Prophix on the left and Vena on the right.The direct prompt
Prophix first, Vena not the choice
1 of 14 modelsVena was named in the answer but not as the choice, or not at all.Vena first, Prophix not the choice
1 of 14 modelsProphix was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
12 of 14 modelsThe answer put something else first and named one of the two as an alternative.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.
By buyer segment
Prophix0%#– of 17Vena0%#15 of 17Vena2%#10 of 14Prophix0%#13 of 14What the models said about Prophix
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Prophix often receives significantly fewer positive mentions and lower "positive-to-negative" ratios” Qwen 3.7 Flash · negative prompt · soft negative
What the models said about Vena
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Extremely slow performance (e.g., single-cell updates taking 20+ minutes)... many call it "the worst decision"” Grok 4.20 · negative prompt · hard negative
“Vena is criticized mainly for scalability and being Excel-in-the-cloud” DeepSeek V4 Flash · negative 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.