InternVL3-8B — benchmark results
OpenGVLab/Shanghai AI Lab's open 8B vision-language model (April 2025), natively multimodal-pretrained with tool-use and GUI-agent capabilities. Provider: Shanghai AI Lab. Released 2025-04-11. Access: Open.
Unified ELO 1530 ± 5, rank #685 of 1776 rated models, from 1048 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MEGA-Bench Task - Deciphering Oracle Bone | 21.4 | Task Score (%) | 100 |
| MEGA-Bench Task - GUI Act Web Single | 13.1 | Task Score (%) | 100 |
| MEGA-Bench Task - Logical Reasoning 2D Folding | 50 | Task Score (%) | 100 |
| OpenVLM MMT-Bench - HLN | 80 | Score (%) | 99.8 |
| OpenVLM MMT-Bench - GUI General | 75 | Score (%) | 99.5 |
| OpenVLM MMT-Bench - Vehicle Retrieval | 95 | Score (%) | 99.5 |
| OpenVLM AI2D - Solar System | 100 | Accuracy (%) | 99.3 |
| OpenVLM MMT-Bench - GN | 62.5 | Score (%) | 99.3 |
| OpenVLM MMT-Bench - Temporal Localization | 73.7 | Score (%) | 99.3 |
| OpenVLM MME - OCR | 200 | Score | 99.1 |
| OpenVLM POPE | 90.4 | Overall (%) | 99.1 |
| OpenVLM MMT-Bench - Body Emotion Recognition | 70 | Score (%) | 99 |
Interactive version: theaggregate.ai/model?slug=internvl3-8b · How the rankings work · Data refreshed daily, snapshot 2026-07-22.