DeepSeek-V4-Flash-Vision-Exp: benchmark results

DeepSeek's open-weight DeepSeek-V4-Flash-Vision-Exp (August 2026), the DeepSeek-V4 family's first experimental multimodal model, built on the V4 Flash architecture with added vision capabilities. Provider: DeepSeek. Released 2026-08-21. Access: Open.

Aggregate Rating 1782 ± 16, rank #79 of 1635 rated models, from 146 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Nejumi 4 - jaster (2-shot) - JCoLA (out-of-domain)89Exact match (%)94.7
Nejumi 4 - jaster (0-shot) - CommonsenseMoralJA97Exact match (%)93.6
Nejumi 4 - ARC-AGI-198Accuracy (%)93.3
Korean CSAT 2026 (Easy Mode) - Korean100Points (out of 100)92.6
Korean CSAT 2026 (Easy Mode) - English100Points (out of 100)90.5
Nejumi 4 - BFCL - Relevance Detection88.89Accuracy (%)89.4
LLM Stats Score44.71LLM Stats Score (conservative rating)89.2
Nejumi 4 - HLE (Japanese) - Calibration Error53Calibration error (%)87.9
Nejumi 4 - jaster (0-shot) - NIILC57.72Character F1 (x100)87.9
Nejumi 4 - HLE (Japanese) - Accuracy38.14Accuracy (%)87.2
Nejumi 4 - GLP - Specialized Knowledge72.55Score (%)86.5
Nejumi 4 - jaster (0-shot) - KUCI87Exact match (%)86.5

Interactive version: theaggregate.ai/model?slug=deepseek-v4-flash-vision-exp · How It Works · Data refreshed daily, snapshot 2026-10-15.