Qwen: Qwen3.5-9B (batch)qwen
Bottom Line
Qwen: Qwen3.5-9B (batch): $0.17/1M input, $0.25/1M output, 262K context. Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
API Pricing (per 1M tokens)
| Input | $0.17 |
| Output | $0.25 |
| Cache Read | — |
| Cache Write | — |
| Blended (3:1) | $0.19 |
Specs & Performance
| Context Length | 262K |
| Max Output | 236K |
| Intelligence | — |
| Coding | — |
| Math | — |
| Speed | — |
| TTFT | — |
| CPS Grade | — |
| Input / Output Modalities | text, image, video → text |
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FAQ
How much does the Qwen: Qwen3.5-9B (batch) API cost?
Qwen: Qwen3.5-9B (batch) costs $0.17/1M input tokens and $0.25/1M output tokens. Blended cost at a 3:1 ratio is about $0.19/1M tokens.
What is the context window of Qwen: Qwen3.5-9B (batch)?
Qwen: Qwen3.5-9B (batch) supports a 262K token context window with up to 236K output tokens.
Is Qwen: Qwen3.5-9B (batch) worth it?
Qwen: Qwen3.5-9B (batch) has a CPS grade of — (score —), intelligence index —, coding index —. Use the compare page to benchmark against rivals.