Qwen3.5-Flash

Qwen3.5-Flash by Alibaba excels in the Coding category, where it ranks #45 with a composite score of 62/100. The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Qwen3.5-Flash is priced at $0.10 per million input tokens and $0.40 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Qwen3.5-Flash holds rank #45 out of 6 models tracked. Its quality rank is #45 and adoption rank is #45. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Qwen3.5-Flash has been evaluated across 6 different signals. Its strongest areas include Capabilities (71/100), Context Window (95/100), Output Capacity (80/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 62/100 reflects a weighted combination of all tracked signals.

Qwen3.5-Flash is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Alibaba's website for current free tier availability and promotional offers.