Qwen: Qwen3.5-27B

qwen/qwen3.5-27b

Released Feb 25, 2026262,144 context

$0.30/M input tokens$2.40/M output tokens

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.

Qwen: Qwen3.5-27B

qwen/qwen3.5-27b

Released Feb 25, 2026262,144 context

$0.30/M input tokens$2.40/M output tokens

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.

Recent activity on Qwen3.5-27B

Total usage per day on OpenRouter

Prompt

21.3M

Completion

938K

Reasoning

837K

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.