All Models
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...
Benchmarks
Available Providers (10)
| Provider | Model ID | Input Cost | Output Cost | Context | Max Output | Docs |
|---|---|---|---|---|---|---|
| | qwen/qwen3.5-122b-a10b | $0/MTok | $0/MTok | 262.1K | 65.5K | |
| | qwen/qwen3.5-122b-a10b | $0.12/MTok | $0.92/MTok | 262.1K | 65.5K | |
| | qwen/qwen3.5-122b-a10b | $0.26/MTok | $2.08/MTok | 262.1K | 65.5K | |
| | qwen/qwen3.5-122b-a10b | $0.26/MTok | $2.08/MTok | 262.1K | 262.1K | |
| | qwen3.5-122b-a10b | $0.36/MTok | $2.88/MTok | 260.1K | 65.5K | |
| | qwen/qwen3.5-122b-a10b | $0.40/MTok | $3.20/MTok | 262.1K | 65.5K | |
| | qwen/qwen3.5-122b-a10b | $0.40/MTok | $3.20/MTok | 262.1K | 262.1K | |
| | Qwen/Qwen3.5-122B-A10B | $0.40/MTok | $3.20/MTok | 131.1K | 32.8K | |
| | qwen3.5-122b-a10b | $0.40/MTok | $3.20/MTok | 262.1K | 65.5K | |
| | qwen3.5-122b-a10b | $0.44/MTok | $3.11/MTok | 262.1K | 262.1K |
Capabilities
Reasoning
Tool Calling
Attachments
Open Weights
Structured Output