InternVL2.5-78B — benchmark results
Shanghai AI Lab's open InternVL2.5 78B vision-language model. Provider: Shanghai AI Lab. Released 2024-12-05. Access: Open.
Unified ELO 1593 ± 7, rank #490 of 1776 rated models, from 826 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MEGA-Bench Task - CLEVRER Physics | 50 | Task Score (%) | 100 |
| MEGA-Bench Task - CLEVRER Video Moving Object Count | 76.2 | Task Score (%) | 100 |
| MEGA-Bench Task - CVBench Adapted CVBench Count | 78.6 | Task Score (%) | 100 |
| MEGA-Bench Task - Shape Composition Colours | 54.9 | Task Score (%) | 100 |
| MEGA-Bench Task - Super CLEVR | 92.9 | Task Score (%) | 100 |
| MEGA-Bench Task - TI Fused VQA Math | 57.1 | Task Score (%) | 100 |
| MEGA-Bench Task - Video Grounding Temporal | 46.7 | Task Score (%) | 100 |
| OpenVLM MMBench V1.1 CN - RR | 87.2 | Accuracy (%) | 100 |
| OpenVLM MMBench V1.1 EN - Function Reasoning | 98.9 | Accuracy (%) | 100 |
| OpenVLM MMMU - Psychology | 86.7 | Accuracy (%) | 100 |
| OpenVLM MMBench V1.1 CN - Attribute Recognition | 98.9 | Accuracy (%) | 99.8 |
| OpenVLM MMMU - Basic Medical Science | 86.7 | Accuracy (%) | 99.8 |
Interactive version: theaggregate.ai/model?slug=internvl2-5-78b · How the rankings work · Data refreshed daily, snapshot 2026-07-22.