Qwen3.5 Native Visual Language Series Plus model, based on a hybrid architecture design, integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher reasoning efficiency. In multiple task evaluations, the 3.5 series has demonstrated outstanding performance comparable to current top-tier cutting-edge models, with model performance showing leaps and bounds of progress compared to the 3 series in both pure text and multimodal aspects.
Providers
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Uptime
24hoursDirect request success rate on AI Gateway and per-provider.
Throughput
24hoursP50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Latency
24hoursP50 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 fromArtificial Analysis
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
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