InternVL3.5-241B-A28B-Instruct: benchmark results

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

Aggregate Rating 1640 ± 23, rank #687 of 10916 rated models, from 26 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Omni-I2C (SMILES) - Tanimoto Similarity68.9Tanimoto similarity (0-100) between Morgan fingerprints of t91.7
Video-IFBench - Nested10.4Task-gated instruction satisfaction rate (%; TISR on nested 75.7
Video-MME-v2 - Level 3 Complex Reasoning (w/o subs)14.05Level 3 Score w/o sub (%)70.8
Video-MME-v232.9Avg Accuracy w/o sub (%)68.8
Video-MME-v2 - Level 2 Temporal Understanding (w/o subs)16.31Level 2 Score w/o sub (%)68.8
Video-MME-v2 - Non-Lin Score (w/o subs)15.8Non-Lin Score w/o sub (%)68.8
Omni-I2C (LaTeX) - Visual Fidelity54.5Visual fidelity S_img (0-100): GPT-4.1 ratings of compositio66.7
Omni-I2C (Python) - Visual Fidelity73.8Visual fidelity S_img (0-100): GPT-4.1 ratings of compositio66.7
Video-MME-v2 - Level 1 Retrieval & Aggregation (w/o subs)18.12Level 1 Score w/o sub (%)66.7
Omni-I2C (HTML) - Visual Fidelity76.6Visual fidelity S_img (0-100): GPT-4.1 ratings of compositio58.3
Omni-I2C (Python) - Functional Coverage55.9Functional coverage S_func (0-100): share of the reference's58.3
Omni-I2C - Visual Fidelity66.5Visual fidelity S_img (0-100): GPT-4.1 ratings of compositio58.3

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