← Models
Qwen3.5-9B
Alibaba Cloud / Qwen Team · open weight · qwen3.5-9b
Qwen3.5-9B is a 9 billion parameter vision-language model using Gated DeltaNet hybrid architecture with a 3:1 ratio of linear attention to full softmax attention. It supports 262K native context length and delivers strong performance across knowledge, reasoning, coding, and multilingual tasks.
Benchmark scores
| Benchmark | Score |
|---|---|
| IFEval | 0.92 |
| MMLU-Redux | 0.91 |
| MMLU-Pro | 0.82 |
| GPQA | 0.82 |
| t2-bench | 0.79 |
Pricing
- DeepInfra$0.10 / $0.15
Input / output per 1M tokens
AA metrics
No Artificial Analysis link yet.
Arena Elo
- No Arena snapshot linked.