e-bate vs Voucherify
Zero of fourteen models named e-bate first on the direct prompt; zero named Voucherify. e-bate was named by twelve of the fourteen models and Voucherify by seven and e-bate carries 23 labels and Voucherify 11, 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 rebate management page.
By framing
e-bateFirst choices, of fourteen modelsVoucherify
Across every category in the November 2026 Edition, e-bate and Voucherify were named in the same answer twenty-four times, of the 61 answers naming e-bate and the 33 naming Voucherify. In those answers Voucherify took the first choice two times and e-bate five.
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 Voucherify first choice named as an alternative argued againstblank: not namedEach cell is one answer, e-bate on the left and Voucherify on the right.The direct prompt
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 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 11Voucherify4%#4 of 11e-bate0%#– of 9Voucherify0%#– 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 Voucherify
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“highlighted as a cost-effective solution for smaller teams... ideal for SMBs with tight budgets” Mistral Small · budget prompt · first choice
“Voucherify Free if you need a low-volume, promotion style rebate with 1,000 API calls/month.” Muse Glimmer 30B · budget prompt · first choice
“For a company with a limited budget, Voucherify is the best recommendation.” DeepSeek V4 Flash · budget 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.