llava-v1.6-34B-hf: benchmark results

Provider: LLaVA Team. Access: Open.

Aggregate Rating 1443 ± 41, rank #4096 of 10916 rated models, from 34 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
DrawingVQA - Domain-Expert Reasoning44.4Accuracy (%; reasoning depth R3, 27 domain-expert reasoning 75
MERA Multi - ruTiE-Image48.7Score (%)72.4
MERA Multi - LabTabVQA11.4Score (%)66.1
MERA Multi - ruHHH-Image14.4Score (%)62.7
MERA Multi - ruNaturalScienceVQA20.7Score (%)61.9
MERA Multi - WEIRD31.4Score (%)61
MERA Multi - Image19Score (%)58.5
VRIQ (Abstract) - Sequence Completion25Accuracy (%) on the 200 abstract-domain VRIQ sequence comple58.3
MERA Multi - SchoolScienceVQA25.8Score (%)55.9
MERA Multi - ruCommonVQA30.1Score (%)50.8
VRIQ (Abstract) - Matrix Prediction26Accuracy (%) on the 200 abstract-domain VRIQ matrix predicti50
VRIQ (Natural) - Matrix Prediction43Accuracy (%) on the 100 natural-domain VRIQ matrix predictio45.8

Interactive version: theaggregate.ai/model?slug=llava-v1-6-34b-hf · How It Works · Data refreshed daily, snapshot 2026-11-08.