Alibaba Cloud / Qwen Team model product
5 9B is a 9 billion parameter vision-language model from Alibaba Cloud / Qwen Team.
Updated Oct 23, 2026. Default version: Qwen3.5-9B
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Qwen3.5-9B.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkNOVA-63 | Score55.90% | Rank08 | Participants12 | Percentile36.36% | EvidenceC | Evaluated |
| BenchmarkDeepPlanning | Score18.00% | Rank09 | Participants10 | Percentile11.11% | EvidenceC | Evaluated |
| BenchmarkMAXIFE | Score83.40% | Rank09 | Participants12 | Percentile27.27% | EvidenceC | Evaluated |
| BenchmarkPolyMATH | Score57.30% | Rank09 | Participants23 | Percentile63.64% | EvidenceC | Evaluated |
| BenchmarkBFCL-V4 | Score66.10% | Rank10 | Participants22 | Percentile57.14% | EvidenceC | Evaluated |
| BenchmarkVITA-Bench | Score29.80% | Rank10 | Participants11 | Percentile10.00% | EvidenceC | Evaluated |
| BenchmarkC-Eval | Score88.20% | Rank12 | Participants20 | Percentile42.11% | EvidenceC | Evaluated |
| BenchmarkGlobal PIQA | Score83.20% | Rank12 | Participants15 | Percentile21.43% | EvidenceC | Evaluated |
| BenchmarkHMMT25 | Score82.90% | Rank13 | Participants28 | Percentile55.56% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score91.50% | Rank13 | Participants70 | Percentile82.61% | EvidenceC | Evaluated |
| BenchmarkWMT24++ | Score72.60% | Rank13 | Participants24 | Percentile47.83% | EvidenceC | Evaluated |
| Benchmarkt2-bench | Score79.10% | Rank14 | Participants23 | Percentile40.91% | EvidenceC | Evaluated |
| BenchmarkLongBench v2 | Score55.20% | Rank15 | Participants19 | Percentile22.22% | EvidenceC | Evaluated |
| BenchmarkInclude | Score75.60% | Rank16 | Participants31 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-ProX | Score76.30% | Rank18 | Participants33 | Percentile46.88% | EvidenceC | Evaluated |
| BenchmarkMulti-Challenge | Score54.50% | Rank18 | Participants34 | Percentile48.48% | EvidenceC | Evaluated |
| BenchmarkAA-LCR | Score63.00% | Rank19 | Participants27 | Percentile30.77% | EvidenceC | Evaluated |
| BenchmarkMMLU-Redux | Score91.10% | Rank23 | Participants50 | Percentile55.10% | EvidenceC | Evaluated |
| BenchmarkSuperGPQA | Score58.20% | Rank23 | Participants37 | Percentile38.89% | EvidenceC | Evaluated |
| BenchmarkHMMT 2025 | Score83.20% | Rank24 | Participants33 | Percentile28.13% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score64.50% | Rank39 | Participants46 | Percentile15.56% | EvidenceC | Evaluated |
| BenchmarkMMMLU | Score81.20% | Rank41 | Participants51 | Percentile20.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score82.50% | Rank44 | Participants142 | Percentile69.50% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score65.60% | Rank47 | Participants67 | Percentile30.30% | EvidenceC | Evaluated |
| BenchmarkAA IFBench | Score66.73% | Rank63 | Participants168 | Percentile62.87% | EvidenceB | EvaluatedN/A |
| BenchmarkAA LCR v1.1 | Score70.00% | Rank89 | Participants193 | Percentile54.17% | EvidenceB | EvaluatedN/A |
| BenchmarkGPQA | Score81.70% | Rank91 | Participants256 | Percentile64.71% | EvidenceC | Evaluated |
| BenchmarkAA GPQA Diamond | Score80.61% | Rank96 | Participants199 | Percentile52.02% | EvidenceB | EvaluatedN/A |
| BenchmarkAA HLE Text No Tools | Score14.92% | Rank106 | Participants200 | Percentile47.24% | EvidenceB | EvaluatedN/A |
| BenchmarkAA CritPt | Score0.29% | Rank112 | Participants200 | Percentile44.22% | EvidenceB | EvaluatedN/A |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderQVAC | Provider model IDqwen3.5-9b | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context32.8K | Updated |
| ProviderNanoGPT | Provider model IDqwen/qwen3.5-9b | Regionglobal | Input / 1M$0.05 | Output / 1M$0.15 | Context262.1K | Updated |
| ProviderRegolo AI | Provider model IDqwen3.5-9b | Regionglobal | Input / 1M$0.0785 | Output / 1M$0.3925 | Context262.1K | Updated |
| ProviderOpenRouter | Provider model IDqwen/qwen3.5-9b | Regionglobal | Input / 1M$0.08 | Output / 1M$0.13 | Context262.1K | Updated |
| ProviderKilo Gateway | Provider model IDqwen/qwen3.5-9b | Regionglobal | Input / 1M$0.08 | Output / 1M$0.13 | Context262.1K | Updated |
| ProviderMerge Gateway | Provider model IDqwen/qwen3.5-9b | Regionglobal | Input / 1M$0.09 | Output / 1M$0.13 | Context262.1K | Updated |
| ProviderEmpirioLabs AI | Provider model IDqwen3-5-9b | Regionglobal | Input / 1M$0.09 | Output / 1M$0.13 | Context262.1K | Updated |
| ProviderMixlayer | Provider model IDqwen/qwen3.5-9b | Regionglobal | Input / 1M$0.10 | Output / 1M$0.40 | Context262.1K | Updated |
| ProviderDeep Infra | Provider model IDQwen/Qwen3.5-9B | Regionglobal | Input / 1M$0.10 | Output / 1M$0.15 | Context262.1K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDqwen3.5-9b | Regionglobal | Input / 1M$0.10 | Output / 1M$0.15 | Context262.1K | Updated |
| ProviderCortecs | Provider model IDqwen3.5-9b | Regionglobal | Input / 1M$0.111 | Output / 1M$0.167 | Context262K | Updated |
| ProviderOVHcloud AI Endpoints | Provider model IDqwen3.5-9b | Regionglobal | Input / 1M$0.12 | Output / 1M$0.18 | Context262.1K | Updated |
| ProviderTensorX | Provider model IDqwen/qwen3.5-9b | Regionglobal | Input / 1M$0.15 | Output / 1M$0.20 | Context262.1K | Updated |
| Providerrouting.run | Provider model IDqwen3.5-9b | Regionglobal | Input / 1M$0.16 | Output / 1M$0.48 | Context262.1K | Updated |
| ProviderHugging Face | Provider model IDQwen/Qwen3.5-9B | Regionglobal | Input / 1M$0.17 | Output / 1M$0.25 | Context262.1K | Updated |
| ProviderTogether AI | Provider model IDQwen/Qwen3.5-9B | Regionglobal | Input / 1M$0.17 | Output / 1M$0.25 | Context262.1K | Updated |
| ProviderPioneer | Provider model IDQwen/Qwen3.5-9B | Regionglobal | Input / 1M$0.30 | Output / 1M$0.30 | Context32.8K | Updated |
| ProviderThinking Machines | Provider model IDQwen/Qwen3.5-9B | Regionglobal | Input / 1M$0.30 | Output / 1M$0.807 | Context65.5K | Updated |
Provider-specific output speed and catalog latency for Qwen3.5-9B. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionQwen3.5-9B | Released | LLMBoard39.42 | Parameters9B | Context262.1K | Max output262.1K | Open weightsYes | LicenseApache 2.0 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Qwen3.5 9B and its available data.
5 9B is a vision-language model using a Gated DeltaNet hybrid architecture with a 3:1 ratio of linear attention to full softmax attention. It supports a 262K native context length and tasks including knowledge, reasoning, coding, and multilingual work.
Data as of 2026-10-22.
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 $0.05 input and $0.15 output via NanoGPT.
Qwen3.5 9B was created by Alibaba Cloud / Qwen Team.
The default version has a 262.1K token context window.
Yes. The default version is marked as open weight under Apache 2.0.
18 provider offerings are linked to the default version.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.