New Model Available: Qwen3.8-Omni-Flash

Alibaba's Qwen released Qwen3.8-Omni-Flash, a model built for audio and video understanding and content analysis that accepts text, image, audio, and video inputs and returns text output. The model is listed on AI Gateway with provider routing, uptime, throughput, latency, and token-volume metrics, plus benchmark scores sourced from Artificial Analysis.

Designed for audio and video understanding and content analysis, it supports text, image, audio, and video inputs with text output. Back to Models https://zenmux.ai/models Providers Route requests across multiple providers. Copy a provider slug to set your preference. Uptime 24hours Direct request success rate on AI Gateway and per-provider. Throughput 24hours P50 throughput on live AI Gateway traffic, in tokens per second TPS . Latency 24hours P50 time to first token TTFT on live AI Gateway traffic, in milliseconds. Activity Token volume and request traffic to this model over time. Benchmarks Scores on standardized evaluations. Higher percentages are better — and rank percentile shows Metrics sourced from Artificial Analysis https://artificialanalysis.ai/ Apps Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All https://zenmux.ai/analytics/apps Related Models More models from Qwen https://zenmux.ai/qwen