e-bate vs SolveXia
Zero of fourteen models named e-bate first on the direct prompt; one named SolveXia. e-bate was named by twelve of the fourteen models and SolveXia by nine and e-bate carries 23 labels and SolveXia 15, so the shares are not directly comparable.
Named in one category this edition.
Named in three 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 rebate management page.
By framing
e-bateFirst choices, of fourteen modelsSolveXia
Across every category in the November 2026 Edition, e-bate and SolveXia were named in the same answer sixteen times, of the 61 answers naming e-bate and the 54 naming SolveXia. In those answers SolveXia took the first choice zero times and e-bate four.
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 | | |
e-bate SolveXia first choice named as an alternative argued againstblank: not namedEach cell is one answer, e-bate on the left and SolveXia on the right.The direct prompt
SolveXia first, e-bate not the choice
1 of 14 modelse-bate was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.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
e-bate17%#3 of 11SolveXia0%#7 of 11e-bate0%#– of 9SolveXia0%#– of 9What the models said about e-bate
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“I'd put e-bate on your shortlist. It focuses on rebate workflows and supports both buy-side and sell-side rebates” GPT-6 Luna · budget prompt · first choice
“e-bate if you need a dedicated rebate-first system and want to avoid per-user costs and want rapid time-to-value.” Muse Glimmer 30B · budget prompt · first choice
“e-Bate stands out as the best choice for budget-conscious companies.” Claude Haiku 4.5 · budget prompt · first choice
What the models said about SolveXia
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Solvexia has more depth but may carry more functionality than smaller businesses need.” MiniMax M2.5 · comparative prompt · soft negative
“sometimes criticized for being overly complex for smaller mid-market firms” Qwen 3.7 Flash · direct prompt · soft negative
“Reviewers describe adopting it because they'd outgrown spreadsheets, then automating reporting, reconciliation and rebate calculations without leaning on IT” Claude Haiku 4.5 · direct prompt · first choice
“Solvexia automates complex calculation workflows and data matching without requiring expensive full-scale ERP customizations.” Gemini 3.5 Flash · budget prompt · alternative
“Focuses on automation, accuracy, centralized rules, and real-time insights; often praised for reducing errors.” Grok 4.20 · 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.