Qwen3.5-9B
Alibaba · Multimodal · Released Mar 2026
A 9-billion-parameter multimodal model from Alibaba's Qwen3.5 generation that handles text and images.
- Strengths
- Offers a compact size suitable for deployment on resource-constrained hardware while maintaining multimodal capabilities for both text and image understanding.
- Best for
- Applications requiring lightweight multimodal inference where model size and latency are constraints, such as on-device or edge deployments.
- Limitations
- The 256K token context window is smaller than Alibaba's larger models and newer Qwen3.6 variants, and as a smaller model it may have reduced reasoning and generation quality compared to larger parameter counts in the same generation.
Input / 1M
$0.17
Output / 1M
$0.25
Cached input / 1M
—
Context window
262K
Price history
Input (solid)Output (dashed)
Price change
- 30d
- in increased 70.0% out increased 66.7%
- 90d
- in increased 70.0% out increased 66.7%
- 1y
- in increased 70.0% out increased 66.7%
- Since launch
- in increased 70.0% out increased 66.7%
Snapshots
| Effective | Input | Output | Cached in | Note | Source |
|---|---|---|---|---|---|
| 23 Oct 2026 | $0.17 | $0.25 | — | Imported from OpenRouter | openrouter.ai |
| 21 Oct 2026 | $0.08 | $0.13 | $0.04 | Imported from OpenRouter | openrouter.ai |
| 11 Jun 2026 | $0.1 | $0.15 | — | Imported from OpenRouter | openrouter.ai |