Qwen3.5-27B by Alibaba Cloud / Qwen Team scores 69.4 out of 100 on the Neura Intelligence Index, ranking #69 among tracked AI models. This composite score is computed from 9 individual benchmarks across coding, math, reasoning, and language categories.

Qwen3.5-27B costs $0.3/1M input tokens and $2.4/1M output tokens via API. At a typical 3:1 input-to-output ratio with 1M tokens/day usage, the estimated monthly cost is approximately $25.

Yes, Qwen3.5-27B has open weights available under the apache_2_0 license. You can download and self-host the model.

Qwen3.5-27B supports a context window of 262K tokens, allowing it to process very long documents, codebases, and conversations in a single request.

Qwen3.5-27B achieves its highest score on MMMLU with a score of 85.9%. This benchmark evaluates multilingual massive multitask language understanding across many languages.