Qwen3.5-9B
Qwen released 2026-03-10
DeepSeek V4 Flash 0731 scores higher and costs less — but you would give something up.
+30 on the capability index and 7% cheaper ($0.105/M against $0.113/M). What you lose:
- no image, video input
Capability scores do not measure context length, output ceiling or which inputs a model accepts, so a higher score does not mean a drop-in replacement.
Every price dimension
| Input | $0.100/M |
|---|---|
| Output | $0.150/M |
Independent scores
| Intelligence | 21.8 |
|---|---|
| Coding | 28.7 |
| Agentic | 7 |
Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.
Capability
| Context window | 262K |
|---|---|
| Max output | 262K |
| Input modes | text, image, video |
| Tool use | yes |
| Reasoning | optional |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | verified |
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...