# Tipalti vs Stampli: which do AI models recommend for procure-to-pay, September 2026

Finance AI Recommendation Index, September 2026 Edition, Procure-to-pay. Zero of twelve models named Tipalti first on the direct prompt; one named Stampli. Page: https://finance-ai-index.com/spend/procure-to-pay/tipalti-vs-stampli/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Tipalti | 2% | #6 of 12 | 8% | 12 | 7 of 12 |
| Stampli | 2% | #7 of 12 | 10% | 10 | 8 of 12 |

## The direct prompt, model by model

- Kimi K2: stampli first (first choices: Procurify, Stampli) (alternatives: Precoro)
- GPT-5.4 mini: neither first, one named (first choices: Procurify) (alternatives: Order.co, ProcureDesk, Tipalti)
- Gemini 3.5 Flash: neither first, one named (first choices: Procurify) (alternatives: Precoro, Ramp, Tipalti, Zip)
- Claude Haiku 4.5: neither named (first choices: ProcureDesk) (alternatives: Procurify, Rillion)
- Perplexity Sonar: neither named (first choices: ProcureDesk) (alternatives: Precoro, Procurify, Ramp, Rillion)
- Grok 4.1 Fast: neither named (first choices: Procurify) (alternatives: Fraxion, Precoro, Ramp)
- Mistral Small: neither named (first choices: Precoro, Procurify) (alternatives: APSentra, Coupa, Ramp)
- DeepSeek V4 Flash: neither named (first choices: Procurify) (alternatives: GEP SMART, Precoro)
- Llama 4 Maverick: neither named (first choices: APSentra, Procurify, Ramp)
- Qwen 3.7 Flash: neither named (first choices: Procurify) (alternatives: APSentra, Fraxion, Oracle NetSuite)
- GLM 4.7 FlashX: neither named (first choices: Procurify) (alternatives: APSentra, Precoro, ProcureDesk)
- MiniMax M2.5: neither named (first choices: APSentra) (alternatives: Precoro, Procurify)

## What the models said about Tipalti

- "Tipalti: The gold standard for global AP automation, multi-currency payouts, and vendor tax compliance." (Gemini 3.5 Flash, scale prompt, first choice)

## What the models said about Stampli

- "Best as a focused AP add\u2011on, not a full P2P replacement." (GLM 4.7 FlashX, direct prompt, soft negative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.