BIG-bench vs ChatGPT Plugins

Dive into the comparison of BIG-bench vs ChatGPT Plugins and discover which AI Large Language Model (LLM) tool stands out. We examine alternatives, upvotes, features, reviews, pricing, and beyond.

When comparing BIG-bench and ChatGPT Plugins, which one rises above the other?

When we compare BIG-bench and ChatGPT Plugins, two exceptional large language model (llm) tools powered by artificial intelligence, and place them side by side, several key similarities and differences come to light. The community has spoken, ChatGPT Plugins leads with more upvotes. The number of upvotes for ChatGPT Plugins stands at 13, and for BIG-bench it's 6.

Does the result make you go "hmm"? Cast your vote and turn that frown upside down!

BIG-bench

BIG-bench

What is BIG-bench?

BIG-bench measures how well large language models handle reasoning, math, bias, and multilingual tasks across more than 200 community-written evaluation challenges. Google hosts the open source repository on GitHub, where researchers contributed tasks through pull requests and published comparative model scores on the leaderboard. Each task scores models through text generation or log-probability queries, using metrics like BLEU, BLEURT, and exact string match.

Unlike fixed benchmarks such as GLUE or SuperGLUE, BIG-bench grew through community pull requests, so task authors could submit challenges designed to exceed what existing models could solve. The suite also ships BIG-bench Lite, a 24-task subset that gives a cheaper canonical score across the full collection of 200+ tasks. Programmatic tasks support multi-turn model interaction, while JSON tasks work through a simpler task.json format with built-in scoring rules.

ML researchers use BIG-bench to compare model scaling trends and publish leaderboard results. Model developers run evaluations locally with HuggingFace models or through Docker scripts, then submit score files via pull request. The benchmark is archived and read-only as of April 2026, but the tasks, code, and published TMLR 2023 analysis paper remain available for reproducible research.

ChatGPT Plugins

ChatGPT Plugins

What is ChatGPT Plugins?

ChatGPT Plugins was OpenAI's 2023 extension system that let ChatGPT call third-party APIs for live data, calculations, and external services. Plugins appeared as tools the model could invoke during a conversation after users enabled them in ChatGPT. OpenAI's March 2023 announcement listed launch partners including Expedia, Instacart, KAYAK, Klarna, OpenTable, Shopify, Slack, Wolfram, and Zapier.

The beta also shipped OpenAI-built plugins for web browsing via Bing, a sandboxed Python code interpreter, and an open-source retrieval plugin for private document search. Developers published plugins through a manifest file and OpenAPI spec, and ChatGPT Plus subscribers were the first users to enable them in chat.

OpenAI deprecated the plugin beta in favor of custom GPTs. The official blog page now states plugins have been deprecated, and OpenAI ended new plugin conversations on March 19, 2024, with full shutdown on April 9, 2024. GPTs with custom actions replaced the integration model for developers and ChatGPT users.

BIG-bench Upvotes

6

ChatGPT Plugins Upvotes

13🏆

BIG-bench Top Features

  • More than 200 benchmark tasks across JSON and programmatic formats, contributed via open pull requests

  • BIG-bench Lite packs 24 diverse tasks for a cheaper canonical model comparison score

  • Built-in metrics include BLEU, BLEURT, ROUGE, exact string match, and multiple-choice grading

  • SeqIO integration loads JSON tasks with 0-shot through 3-shot evaluation presets

  • Python 3.5 through 3.8 required; install with pip install -e . from the GitHub repository

ChatGPT Plugins Top Features

  • Third-party plugins from 12 launch partners including Shopify, Slack, and Wolfram

  • OpenAI web browsing plugin using the Bing search API with source citations

  • Sandboxed Python code interpreter for math, data analysis, and file conversion

  • Open-source retrieval plugin supporting vector databases like Pinecone and Milvus

  • Plugin manifest plus OpenAPI spec defined each integration for the language model

  • Users chose which enabled plugins appeared in each ChatGPT conversation

BIG-bench Category

    Large Language Model (LLM)

ChatGPT Plugins Category

    Large Language Model (LLM)

BIG-bench Pricing Type

    Free

ChatGPT Plugins Pricing Type

    Paid

BIG-bench Technologies Used

Chakra UI
Ant Design
Amazon Web Services
GraphQL
Python
Ruby
GitHub
Emotion
Tailwind CSS

ChatGPT Plugins Technologies Used

Next.js
Ant Design
Vercel
Cloudflare
HubSpot
Font Awesome
Python
Ruby
Discord
Vimeo
Zapier
GitHub
Styled Components
Tailwind CSS

BIG-bench Tags

LLM Benchmarking
Model Evaluation
NLP Research
Open Source
Machine Learning

ChatGPT Plugins Tags

OpenAI
API Integrations
Code Interpreter
Web Browsing
Retrieval Plugin
Third Party Tools
Developer Platform
AI Chat Bot
By Rishit