Models Model details

Qwen

Qwen: Qwen3.6 35B A3B

qwen/qwen3.6-35b-a3b

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated DeltaNet linear attention with standard gated attention layers, enabling efficient inference at a fraction of the compute cost. The model supports a 262K token native context window (extensible to 1M via YaRN) and accepts text, image, and video inputs. It includes integrated thinking mode with reasoning traces preserved across multi-turn conversations, function calling, and structured output. Released under the Apache 2.0 license.

Input
$0.15

/ 1M tokens

Output
$1

/ 1M tokens

Context window
262.14K

tokens

Limits

Context

262,144

tokens

Max output

235,929

90% of the context window

Parameters

35,951,822,704

Model facts

Author

Qwen

Tokenizer

Qwen

Modality

Text + Image + Video -> Text

License

Apache-2.0

Created

Apr 27, 2026

Hugging Face

Qwen/Qwen3.6-35B-A3B

Default generation parameters

temperature

1

top_k

20

top_p

0.95

Publication status

Hugging Face: verifiedLicense: publishedParameter count: published

Modalities

Input · TextInput · ImageInput · VideoOutput · Text

Generation controls

Frequency penaltyInclude reasoningLogit biasLogprobsMax tokensMin pPresence penaltyReasoningRepetition penaltyResponse formatSeedStopStructured outputsTemperatureTool choiceToolsTop kTop logprobsTop p

Capability scores

13.1
Agentic index

Better than 36% of models compared

41.9
Coding index

Better than 35% of models compared

18.2
Intelligence index

Better than 44% of models compared