---
title: "Pave Interchange Fee Benchmark - Benchmark Evaluation - FinanceBenchmark"
description: "Forensic financial verification across 50,000 synthetic transaction records spanning four complexity levels from deterministic aggregation to strategic impact modelling."
canonical: "https://financebenchmark.ai/benchmarks/pave"
type: "text/markdown"
---
# Pave Interchange Fee Benchmark

> Forensic financial verification across 50,000 synthetic transaction records spanning four complexity levels from deterministic aggregation to strategic impact modelling.

## Table of Contents
- [1. Specifications & Metadata](#specifications)
- [2. Model Rankings on this Benchmark](#rankings)
- [3. Source Attribution & Citation](#attribution)

## 1. Specifications & Metadata {#specifications}

- **Slug:** `pave`
- **Domain Categories:** verification, forensic
- **Composite Weight:** 30 (Tier 1)
- **Task Count:** 24 tasks
- **Source / Publisher:** FinanceBenchmark (2026)
- **Research Paper:** [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6944801](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6944801)
- **GitHub Repository:** [https://github.com/Finance-Benchmark/pave-benchmark](https://github.com/Finance-Benchmark/pave-benchmark)

## 2. Model Rankings on this Benchmark {#rankings}

| Rank | Model | Organization | Level 1 | Level 2 | Level 3 | Level 4 | Overall | Eval Date | Source |
|:----:|:------|:-------------|:---:|:---:|:---:|:---:|:---:|:---------:|:------:|
| 1 | [Avae 2.0](https://financebenchmark.ai/models/avae-2-0.md) | Avae | **100.0** | **100.0** | **100.0** | **100.0** | **100.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |
| 2 | [Claude Opus 4.7](https://financebenchmark.ai/models/claude-opus-4-7.md) | Anthropic | **96.0** | **75.0** | **52.0** | **68.0** | **73.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |
| 3 | [GPT-5.5](https://financebenchmark.ai/models/gpt-5-5.md) | OpenAI | **95.0** | **72.0** | **50.0** | **66.0** | **71.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |
| 4 | [Gemini 3.1 Pro](https://financebenchmark.ai/models/gemini-3-1-pro.md) | Google | **94.0** | **70.0** | **48.0** | **65.0** | **69.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |
| 5 | [Grok 4.3](https://financebenchmark.ai/models/grok-4-3.md) | xAI | **93.0** | **68.0** | **47.0** | **63.0** | **68.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |
| 6 | [Kimi K2.6](https://financebenchmark.ai/models/kimi-k2-6.md) | Moonshot AI | **92.0** | **66.0** | **45.0** | **61.0** | **66.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |
| 7 | [DeepSeek V4 Pro](https://financebenchmark.ai/models/deepseek-v4-pro.md) | DeepSeek | **91.0** | **65.0** | **44.0** | **60.0** | **65.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |
| 8 | [GLM-5.1](https://financebenchmark.ai/models/glm-5-1.md) | Zhipu AI | **90.0** | **63.0** | **42.0** | **58.0** | **63.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |
| 9 | [MiniMax M2.7](https://financebenchmark.ai/models/minimax-m2-7.md) | MiniMax | **89.0** | **61.0** | **40.0** | **56.0** | **62.0** | 2026-05 | [Ref](https://github.com/Finance-Benchmark/pave-benchmark) |

## 3. Source Attribution & Citation {#attribution}

All scores for Pave Interchange Fee Benchmark are derived directly from published literature or reproducible evaluation harnesses.
To submit updated evaluations, email [submit@financebenchmark.ai](mailto:submit@financebenchmark.ai).