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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. 262,144 token context window, maximum output of 262,144 tokens. Higher uptime with 5 providers. Includes independent benchmarks from Artificial Analysis.
chatstreamingvisiontoolsjson mode
Details
- Accepts
- text
- Context window
- 262K tokens
Pricing
- Input
- 32.5 cr / 1M tokens
- Output
- 260 cr / 1M tokens
Prices in credits (1 credit = $0.01).
Data schema
approximateInput
| Field | Type | Description |
|---|---|---|
| promptrequired | string | The text prompt. |
Output
| Field | Type | Description |
|---|---|---|
| text | string | Generated text (choices[0].message.content). |