Qwen3.6-27B by Alibaba Cloud / Qwen Team scores 59.4 out of 100 on the Neura Intelligence Index, ranking #116 among tracked AI models. This composite score is computed from 7 individual benchmarks across coding, math, reasoning, and language categories.

Qwen3.6-27B costs $0.6/1M input tokens and $3.6/1M output tokens via API. At a typical 3:1 input-to-output ratio with 1M tokens/day usage, the estimated monthly cost is approximately $41.

Yes, Qwen3.6-27B has open weights available under the apache_2_0 license. You can download and self-host the model.

Qwen3.6-27B supports a context window of 262K tokens, allowing it to process very long documents, codebases, and conversations in a single request.

Qwen3.6-27B achieves its highest score on GPQA Diamond with a score of 87.8%. This benchmark evaluates 448 graduate-level science questions (biology, chemistry, physics) designed to be hard for non-experts.