Models Model details

Qwen

Qwen: Qwen3.5-122B-A10B

qwen/qwen3.5-122b-a10b

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.

Input
$0.26

/ 1M tokens

Output
$2.08

/ 1M tokens

Context window
262.14K

tokens

Limits

Context

262,144

tokens

Max output

65,536

25% of the context window

Parameters

125,086,497,008

Model facts

Author

Qwen

Tokenizer

Qwen3

Modality

Text + Image + Video -> Text

License

Apache-2.0

Created

Feb 25, 2026

Hugging Face

Qwen/Qwen3.5-122B-A10B

Default generation parameters

temperature

0.6

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

43.3
Coding index

Better than 37% of models compared

17.7
Intelligence index

Better than 44% of models compared