Based on real benchmark data from our own software products, we re-evaluate each month the performance of different LLM models in addressing specific challenges. We examine specific categories such as document processing, CRM integration, external integration, marketing support, and code generation.
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Discover the best large language models for digital products
The monthly TIMETOACT GROUP Language Model (LLM) Benchmarks help you choose the best AI models for digital product development.
LLM Benchmarks | January 2025
In the first issue of TIMETOACT GROUP LLM Benchmarks V2 we present our new benchmarks and talk about DeepSeek r1.
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Highlights:
- Second Generation Benchmark - Early Preview
- DeepSeek r1
- Cost and price development of DeepSeek r1
How well can the model work with large documents and knowledge bases?
How well does the model support work with product catalogs and marketplaces?
Can the model easily interact with external APIs, services and plugins?
How well can the model support marketing activities, e.g. brainstorming, idea generation and text generation?
How well can the model reason and draw conclusions in a given context?
Can the model generate code and help with programming?
The estimated cost of running the workload. For cloud-based models, we calculate the cost according to the pricing. For on-premises models, we estimate the cost based on GPU requirements for each model, GPU rental cost, model speed, and operational overhead.
The "Speed" column indicates the estimated speed of the model in requests per second (without batching). The higher the speed, the better.
Archive
Curious about how the scores have evolved? Here you can find all links to previously published leaderboards
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Discover our AI workshops for businesses
Whether it's AI fundamentals, Prompt Engineering training, or potential analysis – we offer tailored solutions for every need.
Transform your digital projects with the best AI language models!
Discover the transformative power of the best Large Language Models and revolutionize your business with AI! Stay future-oriented, increase efficiency and secure a clear competitive advantage. We support you in taking your business value to the next level.
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Martin Warnung
martin.warnung@timetoact.at
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ChatGPT & Co: LLM Benchmarks for January
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ChatGPT & Co: LLM Benchmarks for December
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ChatGPT & Co: LLM Benchmarks for November
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ChatGPT & Co: LLM Benchmarks for September
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ChatGPT & Co: LLM Benchmarks for October
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Common Mistakes in the Development of AI Assistants
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8 tips for developing AI assistants
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AI Contest - Enterprise RAG Challenge
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AI & Data Science
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Google Workspace: AI-supported work for every company
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Crisis management & building a sustainable future with AI
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Expanding Opportunities with Generative AI
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AI for social good
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Let's build an Enterprise AI Assistant
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GenAI Consulting
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Strategic Impact of Large Language Models
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Open-sourcing 4 solutions from the Enterprise RAG Challenge
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AI & Digitization for the Transportation and Logistics Indus
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Graph Technology
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AI - A technology is revolutionizing our everyday lives
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IBM Cloud Pak for Data – Test-Drive
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License Management – Everything you need to know
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Standardized data management creates basis for reporting
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IBM Cloud Pak for Data Accelerator
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Artificial Intelligence in Treasury Management
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Digital transformation in public administration
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IBM Watson Knowledge Studio
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Gemini
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IBM Watson Discovery
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IBM Watson Assistant
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Responsible AI: A Guide to Ethical AI Development
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AI Workshops for Companies
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So You are Building an AI Assistant?
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Data Insights
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Decision Automation
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Mastering digital transformation in insurance
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On-site digitization partner for insurance companies
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Internal and external security
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Interactive online portal identifies suitable employees
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Managed service support for optimal license management
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Google Threat Intelligence
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Data Integration, ETL and Data Virtualization
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The ROI of Gen AI
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Data Governance
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Gen AI Discovery Workshop
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The Intersection of AI and Voice Manipulation
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Database Analysis Report
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Part 4: Save Time and Analyze the Database File
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Part 3: How to Analyze a Database File with GPT-3.5
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Part 1: Data Analysis with ChatGPT
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5 Inconvenient Questions when hiring an AI company
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LLM Performance Series: Batching
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License Plate Detection for Precise Car Distance Estimation
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Creating a Social Media Posts Generator Website with ChatGPT
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SAM Wins First Prize at AIM Hackathon
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Second Place - AIM Hackathon 2024: Trustpilot for ESG
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Third Place - AIM Hackathon 2024: The Venturers
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AIM Hackathon 2024: Sustainability Meets LLMs
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From the idea to the product: The genesis of Skwill
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Business Intelligence
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Dashboards & Reports
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The digital customer file with IBM Content Manager
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IBM InfoSphere Information Server
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Operationalization of Data Science (MLOps)
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Automated Planning of Transport Routes
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Flexibility in the data evaluation of a theme park
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AI Factory for Insurance
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Automation lays the foundation for smooth archive changeover
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Artificial Intelligence & Data Strategy
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Demand Planning, Forecasting and Optimization
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Data Science, Artificial Intelligence and Machine Learning
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Analytics, BI & Planning
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Microsoft Azure
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Digital Maturity
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Insurance
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IBM Db2
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IBM Cloud Pak for Data
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Artificial Intelligence & Data Science
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Decision Optimization
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Microsoft Azure Synapse Analytics
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