internlm2-20B — benchmark results
Shanghai AI Lab's 20B InternLM2 base model, pretrained on over 2.3T tokens of English, Chinese, and code with a 200k context window (January 2024). Provider: Shanghai AI Lab. Released 2024-01-12. Access: Open.
Unified ELO 1456 ± 16, rank #969 of 1776 rated models, from 13 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - WinoGrande | 72.69 | Accuracy (%) | 99.4 |
| Open Chinese LLM - HellaSwag | 68.28 | Accuracy (%) | 86.6 |
| Open Chinese LLM - ARC Challenge | 58.87 | Accuracy (%) | 81.9 |
| Open Chinese LLM - GSM8K | 57.62 | Accuracy (%) | 80 |
| Open Chinese LLM Leaderboard | 63.91 | Average Score (%) | 77.4 |
| Science Leaderboard | 43.3 | Average Accuracy (%) | 71.2 |
| Open Chinese LLM - C-Eval Semantic | 80.77 | Accuracy (%) | 69.7 |
| Open Chinese LLM - CMMLU | 60.11 | Accuracy (%) | 69.1 |
| Open PL LLM - Multiple Choice | 43.01 | Average Multiple-Choice Score (%) | 57.3 |
| Open PL LLM Leaderboard | 47.15 | Average Score (%) | 55.2 |
| Open PL LLM - Generative | 50.33 | Average Generative Score (%) | 53.8 |
| Open PL LLM - RAG | 57.29 | Average RAG Score (%) | 52.1 |
Interactive version: theaggregate.ai/model?slug=internlm2-20b · How the rankings work · Data refreshed daily, snapshot 2026-07-22.