# Planful vs Drivetrain: which do AI models recommend for FP&A platforms, October 2026

Finance AI Recommendation Index, October 2026 Edition, FP&A platforms. Two of fourteen models named Planful first on the direct prompt; two named Drivetrain. Page: https://finance-ai-index.com/planning/fpa-platforms/planful-vs-drivetrain/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Planful | 20% | #1 of 18 | 18% | 60 | 14 of 14 |
| Drivetrain | 6% | #6 of 18 | 0% | 15 | 9 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: planful first (first choices: Planful) (alternatives: Pigment, Vena)
- Perplexity Sonar: planful first (first choices: Abacum, Planful) (alternatives: Vena, Workday Adaptive Planning)
- DeepSeek V4 Flash: drivetrain first (first choices: Datarails, Drivetrain) (alternatives: Cube, Jirav, Planful, Prophix, Workday Adaptive Planning)
- GLM 4.7 FlashX: drivetrain first (first choices: Abacum, Drivetrain) (alternatives: Cube, Vena)
- Gemini 3.5 Flash: neither first, one named (first choices: Vena) (alternatives: Aleph, Bob Finance, Cube, Pigment, Planful)
- Grok 4.1 Fast: neither first, one named (first choices: Vena) (alternatives: Centage, Cube, Datarails, Planful)
- Mistral Small: neither first, one named (first choices: Centage) (alternatives: Abacum, Drivetrain, Planful, Prophix, Vena)
- Qwen 3.7 Flash: neither first, one named (first choices: Vena) (alternatives: Aleph, Cube, Planful)
- Kimi K2: neither first, one named (first choices: Cube) (alternatives: Aleph, Datarails, Drivetrain, Jirav, Vena)
- MiniMax M2.5: neither first, one named (first choices: Vena) (alternatives: Drivetrain, Parse)
- GPT-6 Luna: neither first, one named (first choices: Abacum) (alternatives: Planful, Vena)
- Muse Glimmer 30B: neither first, one named (first choices: Pigment) (alternatives: Abacum, Aleph, Centage, Cube, Datarails, Planful, Vena)
- Claude Haiku 4.5: neither named (first choices: Aleph, Cube) (alternatives: Pigment, Prophix, Workday Adaptive Planning)
- Llama 4 Maverick: neither named

## What the models said about Planful

- "Another enterprise-grade solution that may be unnecessarily complex and expensive for smaller teams." (Mistral Small, negative prompt, hard negative)
- "Planful, Pigment, and Oracle Essbase generated the most negative feedback overall" (Claude Haiku 4.5, negative prompt, hard negative)
- "should be avoided or approached with caution... 3. Planful" (Llama 4 Maverick, negative prompt, hard negative)

## What the models said about Drivetrain

- "Drivetrain and Abacum stand out for their advanced features, scalability, and ease of implementation" (Mistral Small, paraphrase prompt, first choice)

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. 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.