Qwen · Model identity
Qwen3.6 27B
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
1pricing route
What published route metadata supports
Hugging FaceReasoningStructured outputTool useVideo inputVision
Input modalities
ImageTextVideo
Supported API parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Only source-backed fields are filled
Release dateNot independently verified
Knowledge cutoffNot independently verified
Open weightsNot independently verified
OpenRouter catalog date2026-04-27
LLMPrice does not infer a release date, knowledge cutoff, or open-weight status from a model name, Hugging Face link, or pricing route.
Could this workload cost less?Compare Qwen3.6 27B with cheaper models using the same workload.
Find cheaper alternatives →| Endpoint / route | Model ID | Input | Cached | Output | Context | Source |
|---|---|---|---|---|---|---|
| OpenRouterStandard | qwen/qwen3.6-27b | $0.32 | — | $3.2 | 262K | OpenRouter API ↗ |
Hugging Face references
Presence of a Hugging Face ID is not treated as proof that model weights are open.
9 verified price changes since Aug 26, 2026
1 route availability change recorded. No earlier prices are inferred.
Input / 1M$0.32Aug 26, 2026 → Oct 9, 2026
Output / 1M$3.2Aug 26, 2026 → Oct 9, 2026
- Oct 9, 2026OpenRouter · Standard
Input $0.45 → $0.32 · Output $2.7 → $3.2
- Oct 9, 2026OpenRouter · Standard
Input $0.3 → $0.45 · Cached input $0.03 → — · Output $2 → $2.7
- Oct 7, 2026OpenRouter · Standard
Input $0.32 → $0.3 · Output $3.25 → $2
- Oct 5, 2026OpenRouter · Standard
Cached input — → $0.03 · Output $3.2 → $3.25
- Sep 26, 2026OpenRouter · Standard
Cached input $0.15 → — · Output $2.7 → $3.2
- Sep 23, 2026OpenRouter · Standard
Input $0.3 → $0.32 · Cached input $0.03 → $0.15 · Output $2 → $2.7