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BizFinBench

HiThink-Research/BizFinBench

A Business-Driven Real-World Financial Benchmark for Evaluating LLMs

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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169 stars12 forksLast push May 1, 2026 Python

Decision brief

BizFinBench is a finance-specific benchmark for evaluating large language models in real-world business settings.

Good fit when

  • For teams专注于金融行业,需要评估其模型在实际业务场景中的表现时。
  • 如果需要使用具体的财务基准来衡量大型语言模型的性能,并且希望该基准能反映真实世界的商业情景,则适合采用BizFinBench。

Avoid when

  • 不要在不需要针对财务管理特定挑战进行测试的情况下使用BizFinBench,例如,在评估通用自然语言处理任务时。
  • 如果项目主要关注的是非金融行业的应用,并且所使用的场景与实际的商业交易无直接关联,则不宜采用BizFinBench进行测评。
Requirements:
需要安装所需的Python库以运行评估:pip install -r requirements.txt; 环境变量设置包括模型路径、远程模型URL、模型名称以及其他相关参数,如使用API进行测试时的API key等。; 必须确保遵守相关的使用和许可政策,这可能涉及研究使用的限制及其他第三方协议条款。

Observed Jul 15, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Slowing (142d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
90 low (90 low)
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install BizFinBench
PyPI

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

BizFinBench is designed as a finance-oriented benchmark to evaluate the performance of large language models in real-world business scenarios.

Capability facts

Languages
python

Source: github.language · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install -r requirements.txt
Source link
Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Sep 20, 2026)

### Quick Start – Evaluate external apis (e.g., chatgpt)
Source link

Tags

README

Install requirements Quick Start – Evaluate a Local Model sh export MODEL PATH=model/Qwen2.5 0.5B Path to the model to be evaluated export REMOTE MODEL PORT=16668 export REMOTE MODEL URL=http://127.0.0.1:${REMOTE MODEL PORT}/model export MODEL NAME=Qwen2.5 0.5B export PROMPT TYPE...

For agents

This page has a .md twin and JSON over the API.

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