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Model details

Qwen3.6 Flash

Qwen3.6 Flash is Alibaba's speed-optimized member of the Qwen3.6 model family, engineered for high-throughput, low-latency inference pipelines. It sits alongside variants like Max Preview, Plus, and 35B-A3B in a lineup that addresses different performance trade-offs. The model builds on a hybrid architecture combining linear attention with sparse mixture-of-experts, which lets it maintain fast response times without sacrificing the multimodal capabilities shared across the family. This design makes it particularly suitable for applications where quick turnarounds matter more than chasing every last point on leaderboard benchmarks.

The Flash tier targets workloads that demand both speed and multimodal flexibility across text, image, and video inputs, supported by a million-token that quick-info value window. While the sources don't detail pre-training data or explicit post-training recipes like GRPO or SFT, the model family spans six distinct variants released in 2026, suggesting an organized effort to cover different deployment scenarios. The family-level architecture choices hint at deliberate engineering to balance inference efficiency with practical capability coverage. Developers working on pipelines that need responsive multimodal processing without the full computational cost of flagship variants will find this tier positioned as a pragmatic middle ground.

AIHubMixqwen3.6-flashqwen3.6

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Provider
AIHubMix
Model key
qwen3.6-flash
Release date
Apr 2, 2026
Last updated
Apr 2, 2026
Knowledge cutoff
2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.17
Output token cost
$1.01

Limits

Output tokens
64,000 tokens
Context window
991,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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