InternVL3.5-241B-A28B: benchmark results

Provider: Shanghai AI Lab. Released 2025-08-26. Access: Open.

Aggregate Rating 1631 ± 11, rank #740 of 10916 rated models, from 197 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
LithoBench - Practical Application (Open-Ended)3.96OPEN_J score (0-10) = 0.4 x ROUGE-L x 10 + 0.2 x BLEU-4 x 10100
MIBench (Multimodal Interaction) - Text-Centric74.78Accuracy (%) on the text-centric samples (the answer must co100
UNICBench (Image)21.9Exact-count hit rate (%): share of parsed numeric answers eq100
OVO-S-Bench - Egocentric Perception55.55Level 1 (instantaneous egocentric perception) multiple-choic96.7
CourtSI-Bench - Player-Zone56.1Exact-match accuracy (%) on the 82 player-to-court-zone rela95.8
MIBench (Multimodal Interaction)65.82Overall accuracy (%) on the full MIBench (multiple-choice im95.2
MIBench (Multimodal Interaction) - Synergy58.01Accuracy (%) on the synergy samples (both modalities are nee95.2
OVO-S-Bench - Context Tracking55.72Level 2 (spatiotemporal context tracking of evidence no long93.3
EPIC-Bench - Affordance Region16.85Manipulation score (0-100) on affordance region localization93.2
EPIC-Bench - Spatial-Related Attributes50.59Target localization score (0-100) on the spatial-attribute t92
LiveClin34.4Case accuracy (%): share of the 1,407 first-half-2025 clinic92
CourtSI-Bench - Camera-Player80.2Exact-match accuracy (%) on the 248 camera-to-player relatio91.3

Interactive version: theaggregate.ai/model?slug=internvl3-5-241b-a28b · How It Works · Data refreshed daily, snapshot 2026-11-08.