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Qwen: Qwen3.5-FlashActive

qwen/qwen3.5-flash
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Qwen3.5 native vision-language Flash model series, based on a hybrid architecture design, integrates linear attention mechanisms with sparse Mixture-of-Experts (MoE) models, achieving higher inference efficiency. The model's performance has made a leap forward compared to the 3 series in both pure text and multimodal capabilities; it offers fast response times, balancing inference speed and performance.

By:QwenInput Type:Output Type:Publish time:2026-02-25

Providers

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ProviderCache Hit RateContext
Alibaba Cloud
alibaba
-$0.1/ M tokens$0.4/ M tokensRead:0.01-0.02/ M tokensWrite:0.125/ M tokens1.02M2.89s44.4tps

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.

Token Consumption

Benchmarks

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Apps

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Token Ranking
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