Alibaba Cloud / Qwen Team model product
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.
Updated Aug 10, 2026. Default version: Qwen3.5-9B
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Qwen3.5-9B.
| BFCL-V4 | 0.7 | 7 | 13 | 50.0% | C | |
| DeepPlanning | 0.2 | 8 | 9 | 12.5% | C | |
| MAXIFE | 0.8 | 8 | 11 | 30.0% | C | |
| NOVA-63 | 0.6 | 8 | 11 | 30.0% | C | |
| AA-LCR | 0.6 | 9 | 15 | 42.9% | C | |
| PolyMATH | 0.6 | 9 | 23 | 63.6% | C | |
| VITA-Bench | 0.3 | 9 | 10 | 11.1% | C | |
| Global PIQA | 0.8 | 10 | 13 | 25.0% | C | |
| C-Eval | 0.9 | 11 | 18 | 41.2% | C | |
| HMMT25 | 0.8 | 12 | 25 | 54.2% | C | |
| IFEval | 0.9 | 12 | 65 | 82.8% | C | |
| WMT24++ | 0.7 | 12 | 23 | 50.0% | C | |
| LongBench v2 | 0.6 | 13 | 17 | 25.0% | C | |
| Multi-Challenge | 0.5 | 13 | 29 | 57.1% | C | |
| t2-bench | 0.8 | 14 | 23 | 40.9% | C | |
| Include | 0.8 | 16 | 31 | 50.0% | C | |
| MMLU-ProX | 0.8 | 17 | 32 | 48.4% | C | |
| SuperGPQA | 0.6 | 20 | 34 | 42.4% | C | |
| MMLU-Redux | 0.9 | 22 | 48 | 55.3% | C | |
| IFBench | 0.6 | 23 | 28 | 18.5% | C | |
| HMMT 2025 | 0.8 | 24 | 33 | 28.1% | C | |
| LiveCodeBench v6 | 0.7 | 36 | 53 | 32.7% | C | |
| MMLU-Pro | 0.8 | 37 | 129 | 71.9% | C | |
| MMMLU | 0.8 | 39 | 49 | 20.8% | C | |
| GPQA | 0.8 | 75 | 233 | 68.1% | C |
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| QVAC | qwen3.5-9b | global | N/A | N/A | 32.8K | |
| CrofAI | qwen3.5-9b | global | $0.04 | $0.15 | 262.1K | |
| LLM Gateway | qwen3.5-9b | global | $0.10 | $0.15 | 262.1K | |
| Cortecs | qwen3.5-9b | global | $0.111 | $0.167 | 262.1K | |
| OVHcloud AI Endpoints | qwen3.5-9b | global | $0.12 | $0.18 | 262.1K | |
| Regolo AI | qwen3.5-9b | global | $0.15 | $0.60 | 262.1K | |
| routing.run | qwen3.5-9b | global | $0.16 | $0.48 | 262.1K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Qwen3.5-9B | 36.1 | 9B | 262.1K | 65.5K | Yes | Apache 2.0 |
A concise description based on the published model registry.
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.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Qwen3.5 9B.
Qwen3.5 9B's default version was released on Mar 2, 2026.
No official standard PAYG price is currently available for Qwen3.5 9B. The lowest tracked third-party offer starts at $0.04 input and $0.15 output via CrofAI.
Qwen3.5 9B is published under Alibaba Cloud / Qwen Team in the model registry.
The default version has a 262.1K token context window.
Yes. The default version is marked as open weight under Apache 2.0.
7 published provider offerings are linked to the default version.
Nearby ranked alternatives include Phi 4, Gemini 1.5 Flash, Nova Micro.