How We Rank LLMs
We evaluate and rank large language models based on transparent, testable criteria and real-world use cases. Our comparisons are based on both standardized benchmarks and independent tests.
Evaluation Criteria
- Benchmark Scores:
- Chatbot Arena Elo Rating
- LiveBench by LMSYS
- MT-Bench (from OpenCompass)
- Scale AI SEAL Benchmark
- Hugging Face Open LLM Leaderboard
- Use Case Performance:
- 🧠 Reasoning & Math
- 💻 Coding & Debugging
- 📝 Creative Writing
- 💬 General Chat
- 🌐 Multilingual Abilities
Testing Process
We use real prompts and tasks to evaluate model responses. Prompts are tested across models using the same conditions for fairness.
Update Frequency
We update rankings:
- When major models are released or upgraded
- When benchmark data significantly changes
- On a biweekly basis for LiveBench & Chatbot Arena updates
Disclaimer
No ranking is perfect. We encourage readers to consider multiple benchmarks and their own needs when choosing a model.
Have questions? Email us at: contact@rankllms.com
