Context Arena provides a leaderboard for evaluating language models on long-context tasks.
Indico LLM Leaderboard
Indico benchmarks language models on extractive, classification, and predictive tasks.
About Indico LLM Leaderboard
The Indico LLM Leaderboard is a web-based benchmarking resource from Indico Data that compares the performance of leading large language models on enterprise-focused deterministic tasks, including information extraction, clause classification, and predictive tasks. Unlike most public LLM benchmarks that focus on chatbot use cases, this leaderboard is built to support practical business AI deployments. It is updated monthly with new test results across a range of models, datasets, and task configurations.
The leaderboard ranks models by F1 score accuracy for each capability, averaged over tested datasets and prompt styles. It also provides analysis of cost of ownership and response time tradeoffs, so users can weigh performance against budget and latency needs. Granular breakdowns of results are available for users conducting detailed analysis to select the best model for a specific business use case.
Key features
- Monthly benchmarking of LLMs for extractive, classification, and predictive tasks
- Ranks models by F1 score accuracy averaged over datasets and prompt styles
- Compares accuracy, cost, and response time tradeoffs for model selection
- Provides granular, filterable results by dataset, model, and task type
- Tests models from leading providers including OpenAI, Google, Azure, and AWS
Best for: Teams selecting large language models for enterprise extractive, classification, and predictive business tasks benefit most.
Good for
- Focuses on practical enterprise deterministic tasks rather than generic chatbot benchmarks
- Includes cost and latency metrics alongside accuracy data for holistic evaluation
- Offers granular, filterable result breakdowns for detailed performance analysis
Watch out for
- Summarization benchmarks were removed due to evaluation challenges
- Limited to a fixed set of tested models and datasets per month
Indico LLM Leaderboard at a glance
- Website
- indicodata.ai/llm
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 7, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Indico LLM Leaderboard FAQ
What types of tasks does the Indico LLM Leaderboard benchmark?
It benchmarks large language models on extractive, classification, and predictive enterprise tasks, rather than common chatbot-focused use cases.
How frequently is the leaderboard updated with new results?
The leaderboard is updated monthly with new benchmarking runs across models, datasets, and prompt styles.
Does the leaderboard include cost and speed data for tested models?
Yes, it provides tradeoff analysis between accuracy, cost, and response time for all included models.
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