Benchmarks for real-world use cases
Welcome to ProLLM.
We build and run language model benchmarks on real business use cases across industries and languages, giving you the practical insight to choose models for testing and production. Test sets come from industry partners and data providers such as StackOverflow. Read more in our blog and paper.
Main leaderboard
| # | Name | Provider | Overall |
|---|---|---|---|
1 | LCM-3 Picanha | Prosus | 70.9 |
2 | Qwen3.8-2.4T-A95B | Alibaba | 69.7 |
3 | GPT-5.6 Terra | OpenAI | 69.4 |
4 | GPT-5.6 Sol | OpenAI | 68.9 |
5 | GPT-5.6 Luna | OpenAI | 68.6 |
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Models ranked
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Benchmarks
02/10/2026
Last updated
Why ProLLM?
- 01Useful
Benchmarks built from real use-case data, scored with metrics that translate into actionable insight.
- 02Relevant
Explore results interactively on complex tasks, such as JavaScript debugging questions, filtered to what matters to you.
- 03Reliable
Evaluation sets stay private to protect benchmark integrity, with mirror sets shared for transparency.
- 04Comprehensive
Benchmarks span languages and sectors, from food delivery to EdTech, and grow with new use cases and data sources. Subscribe to be notified of new benchmark releases.