Tipalti vs Deel
Seven of fourteen models named Tipalti first on the direct prompt; four named Deel. Both were named by all fourteen models and Tipalti carries 29 labels and Deel 52, so the shares are not directly comparable.
Named in eighteen categories 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 contractor payments page.
By framing
TipaltiFirst choices, of fourteen modelsDeel
Across every category in the October 2026 Edition, Tipalti and Deel were named in the same answer seventy-four times, of the 551 answers naming Tipalti and the 177 naming Deel. In those answers Deel took the first choice twenty-one times and Tipalti nineteen.
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 4.1 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 | | | |
Tipalti Deel first choice named as an alternative argued againstblank: not namedEach cell is one answer, Tipalti on the left and Deel on the right.The direct prompt
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Tipalti first, Deel an alternative
6 of 14 modelsDeel was named in the answer but not as the choice, or not at all.Deel first, Tipalti an alternative
3 of 14 modelsTipalti was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 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
Tipalti22%#1 of 13Deel20%#2 of 13What the models said about Tipalti
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“### 1. Tipalti — Best for Global/Multi-Vendor Operations ... Why it wins: Purpose-built for scaling B2B payables with robust compliance” Kimi K2 · direct prompt · first choice
“Tipalti and Deel Payroll are the top choices due to their scalability, global capabilities, and robust 1099 compliance features” Mistral Small · direct prompt · first choice
What the models said about Deel
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Opaque or very high fees (Deel Payroll, certain freelancing-site payout tools)” GLM 4.7 FlashX · negative prompt · hard negative
“High fees for transactions/withdrawals and payment delays/notifications are common criticisms, despite strong compliance features.” Grok 4.1 Fast · negative prompt · soft negative
“Deel enforces strict late-payment fees ... has been known to put a hard lock on freelancer payouts” Gemini 3.5 Flash · negative prompt · soft negative
“I'd suggest Deel or Papaya Global as the top choices. Deel offers the most comprehensive platform with strong compliance features” MiniMax M2.5 · direct prompt · first choice
“the strongest single-platform choice is usually Deel if you want contractor payments plus 1099/tax compliance in one system” Perplexity Sonar · direct prompt · first choice
“I'd recommend starting with Deel if you have international contractors, or Tipalti if you want maximum automation” GLM 4.7 FlashX · paraphrase 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.