InternVL3-78B: benchmark results

Shanghai AI Lab's open InternVL3 78B vision-language model. Provider: Shanghai AI Lab. Released 2025-04-11. Access: Open.

Aggregate Rating 1631 ± 5, rank #352 of 1656 rated models, from 1419 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
CausalPhys59.24Answer accuracy (0-1 scaled to %) over all four domains (Per100
CausalPhys - Description Correctness47.2Description Correctness (0-1 scaled to %), the share of attr100
CausalPhys - Entity Faithfulness69.68Entity Faithfulness (0-1 scaled to %), the share of causal-g100
CausalPhys - Perception62.57Answer accuracy (0-1 scaled to %) on the Perception domain (100
CausalPhys - Relation Awareness30.52Relation Awareness (0-1 scaled to %), the share of directed 100
FREAK (Multiple Choice) - Consistency Accuracy35.9Consistency accuracy (%): share of FREAK's 1,000 multiple-ch100
Flat-Pack Bench - Temporal Ordering43.87TOrd: order the connection events of the highlighted parts, 100
MEGA-Bench Task - COCO Person Detection79.9Task Score (%)100
MEGA-Bench Task - Insect Order Classification46.7Task Score (%)100
MEGA-Bench Task - Perception Test Video Action Count75Task Score (%)100
MEGA-Bench Task - Stack Overflow Debug QA71.4Task Score (%)100
MEGA-Bench Task - VLN Identify Location57.6Task Score (%)100

Interactive version: theaggregate.ai/model?slug=internvl3-78b · How It Works · Data refreshed daily, snapshot 2026-10-20.