aya-vision-8B: benchmark results

Cohere Aya Vision 8B multimodal model for multilingual vision-language tasks. Provider: Cohere. Released 2025-03-04. Access: Open.

Aggregate Rating 1428 ± 12, rank #1107 of 1656 rated models, from 98 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Cedar - Text-Only - Japanese37.8Accuracy (%)86.7
LatamBoard - Spanish TeleIA71.43Score (%)86.4
LatamBoard - Spanish MGSM12Score (%)72.7
LatamBoard - FaQuAD NLI74.19Score (%)69.7
MUNIChus - French14.71CIDEr of the zero-shot French news image caption generated f66.7
EVALITA - word-in-context63.86CPS61.7
JMMMU-Pro - Japanese Heritage30.67Accuracy (%)61.5
LatamBoard - ASSIN2 RTE91.06Score (%)60.6
LatamBoard - Portuguese Score85.93Score (%)60.6
KOFFVQA - Recognition75Score (%)58
NormViz-Bench15.4Group Accuracy (%)55
LatamBoard63.2LatamBoard Category Average (percentage)53.8

Interactive version: theaggregate.ai/model?slug=aya-vision-8b · How It Works · Data refreshed daily, snapshot 2026-10-20.