Alibaba Cloud / Qwen Team model product
5-35B-A3B is a multimodal Mixture-of-Experts model with 35 billion total parameters and 3 billion activated parameters.
Updated Aug 12, 2026. Default version: Qwen3.5-35B-A3B
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Qwen3.5-35B-A3B.
| AndroidWorld_SR | 71.1% | 01 | 8 | 100.0% | C | |
| Hypersim | 0.131 points | 01 | 4 | 100.0% | C | |
| VLMsAreBlind | 97.0% | 01 | 4 | 100.0% | C | |
| CountBench | 0.978 points | 02 | 6 | 80.0% | C | |
| BrowseComp-zh | 69.5% | 03 | 13 | 83.3% | C | |
| FullStackBench en | 58.1% | 03 | 3 | 0.0% | C | |
| FullStackBench zh | 55.0% | 03 | 3 | 0.0% | C | |
| Hallusion Bench | 67.9% | 03 | 16 | 86.7% | C | |
| MMLongBench-Doc | 0.595 points | 03 | 5 | 50.0% | C | |
| MMStar | 81.9% | 03 | 22 | 90.5% | C | |
| MVBench | 74.8% | 03 | 17 | 87.5% | C | |
| Nuscene | 14.6% | 03 | 3 | 0.0% | C | |
| PMC-VQA | 62.0% | 03 | 3 | 0.0% | C | |
| SlakeVQA | 78.7% | 03 | 4 | 33.3% | C | |
| TIR-Bench | 55.5% | 03 | 4 | 33.3% | C | |
| VideoMME w/o sub. | 82.5% | 03 | 10 | 77.8% | C | |
| LingoQA | 79.2% | 04 | 4 | 0.0% | C | |
| MedXpertQA | 61.4% | 04 | 12 | 72.7% | C | |
| MMVU | 72.3% | 04 | 4 | 0.0% | C | |
| OCRBench | 91.0% | 04 | 22 | 85.7% | C | |
| SUNRGBD | 0.334 points | 04 | 4 | 0.0% | C | |
| ZEROBench-Sub | 0.341 points | 04 | 5 | 25.0% | C | |
| CodeForces | 82.2% | 05 | 16 | 73.3% | C | |
| DynaMath | 85.0% | 05 | 7 | 33.3% | C | |
| MMBench-V1.1 | 91.5% | 05 | 18 | 76.5% | C | |
| OJBench | 36.0% | 05 | 9 | 50.0% | C | |
| BFCL-V4 | 67.3% | 06 | 13 | 58.3% | C | |
| DeepPlanning | 22.8% | 06 | 9 | 37.5% | C | |
| MathVista-Mini | 86.2% | 06 | 23 | 77.3% | C | |
| OmniDocBench 1.5 | 89.3% | 06 | 17 | 68.8% | C | |
| RefSpatialBench | 0.635 points | 06 | 6 | 0.0% | C | |
| Seal-0 | 41.4% | 06 | 6 | 0.0% | C | |
| V* | 92.7% | 06 | 7 | 16.7% | C | |
| VideoMME w sub. | 86.6% | 06 | 10 | 44.4% | C | |
| EmbSpatialBench | 0.831 points | 07 | 8 | 14.3% | C | |
| ERQA | 64.8% | 07 | 23 | 72.7% | C | |
| MAXIFE | 86.6% | 07 | 11 | 40.0% | C | |
| MLVU | 85.6% | 07 | 10 | 33.3% | C | |
| NOVA-63 | 57.1% | 07 | 11 | 40.0% | C | |
| PolyMATH | 64.4% | 07 | 23 | 72.7% | C | |
| RefCOCO-avg | 0.892 points | 07 | 7 | 0.0% | C | |
| C-Eval | 90.2% | 08 | 18 | 58.8% | C | |
| HMMT25 | 89.2% | 08 | 25 | 70.8% | C | |
| LVBench | 71.4% | 08 | 24 | 69.6% | C | |
| RealWorldQA | 84.1% | 08 | 26 | 72.0% | C | |
| t2-bench | 81.2% | 08 | 23 | 68.2% | C | |
| VITA-Bench | 31.9% | 08 | 10 | 22.2% | C | |
| ZEROBench | 0.08 points | 08 | 9 | 12.5% | C | |
| AI2D | 92.6% | 09 | 32 | 74.2% | C | |
| BabyVision | 38.4% | 09 | 9 | 0.0% | C | |
| CC-OCR | 80.7% | 09 | 18 | 52.9% | C | |
| Global PIQA | 86.6% | 09 | 13 | 33.3% | C | |
| MMLU-ProX | 81.0% | 09 | 32 | 74.2% | C | |
| WideSearch | 57.1% | 09 | 9 | 0.0% | C | |
| IFEval | 91.9% | 11 | 65 | 84.4% | C | |
| Include | 79.7% | 11 | 31 | 66.7% | C | |
| MathVision | 83.9% | 11 | 32 | 67.7% | C | |
| MMLU-Redux | 93.3% | 11 | 48 | 78.7% | C | |
| Multi-Challenge | 60.0% | 11 | 29 | 64.3% | C | |
| ODinW | 42.6% | 11 | 16 | 33.3% | C | |
| ScreenSpot Pro | 68.6% | 11 | 25 | 58.3% | C | |
| SimpleVQA | 0.583 points | 11 | 13 | 16.7% | C | |
| WMT24++ | 76.3% | 11 | 23 | 54.5% | C | |
| AA-LCR | 58.5% | 12 | 16 | 26.7% | C | |
| LongBench v2 | 59.0% | 12 | 17 | 31.3% | C | |
| MMMU | 81.4% | 13 | 63 | 80.7% | C | |
| MMLU-Pro | 85.3% | 14 | 129 | 89.8% | C | |
| SuperGPQA | 63.4% | 14 | 34 | 60.6% | C | |
| VideoMMMU | 80.4% | 16 | 26 | 40.0% | C | |
| IFBench | 70.2% | 17 | 29 | 42.9% | C | |
| HMMT 2025 | 89.0% | 19 | 33 | 43.8% | C | |
| OSWorld-Verified | 54.5% | 22 | 23 | 4.5% | C | |
| LiveCodeBench v6 | 74.6% | 24 | 53 | 55.8% | C | |
| Humanity's Last Exam | 47.4% | 25 | 93 | 73.9% | C | |
| CharXiv-R | 77.5% | 27 | 48 | 44.7% | C | |
| MMMLU | 85.2% | 32 | 49 | 35.4% | C | |
| MMMU-Pro | 75.1% | 33 | 66 | 50.8% | C | |
| BrowseComp | 61.0% | 35 | 58 | 40.4% | C | |
| Terminal-Bench 2.0 | 40.5% | 45 | 49 | 8.3% | C | |
| GPQA | 84.2% | 61 | 234 | 74.3% | C | |
| SWE-Bench Verified | 69.2% | 64 | 105 | 39.4% | C |
Preference and agent-evaluation results for the default version.
| webdev | overall | 98 | 1249.6 | 1,540 | N/A | |
| text factuality | overall | 124 | 1408.7 | 28,947 | N/A | |
| text | overall | 136 | 1395.6 | 29,144 | N/A | |
| text style control | overall | 143 | 1395.4 | 29,144 | N/A |
Provider-specific output speed and catalog latency for Qwen3.5-35B-A3B. 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.
Official vendor API pricing appears first, followed by individual provider offers.
| EmpirioLabs AI | qwen3-5-35b-a3b | global | $0.057 | $0.459 | 256K | |
| OrcaRouter | qwen/qwen3.5-35b-a3b | global | $0.057 | $0.459 | 262.1K | |
| Merge Gateway | qwen/qwen3.5-35b-a3b | global | $0.057 | $0.459 | 131.1K | |
| OpenRouter | qwen/qwen3.5-35b-a3b | global | $0.14 | $1 | 262.1K | |
| Deep Infra | Qwen/Qwen3.5-35B-A3B | global | $0.14 | $1 | 262.1K | |
| Kilo Gateway | qwen/qwen3.5-35b-a3b | global | $0.1625 | $1.3 | 262.1K | |
| NanoGPT | qwen3.5-35b-a3b | global | $0.225 | $1.8 | 260.1K | |
| SiliconFlow | Qwen/Qwen3.5-35B-A3B | global | $0.24 | $1.8 | 262.1K | |
| Weights & Biases | Qwen/Qwen3.5-35B-A3B | global | $0.25 | $1.25 | 262.1K | |
| Mixlayer | qwen/qwen3.5-35b-a3b | global | $0.25 | $1.3 | 262.1K | |
| Alibaba | qwen3.5-35b-a3b | global | $0.25 | $2 | 262.1K | |
| NovitaAI | qwen/qwen3.5-35b-a3b | global | $0.25 | $2 | 262.1K | |
| Hugging Face | Qwen/Qwen3.5-35B-A3B | global | $0.25 | $2 | 262.1K | |
| Venice AI | qwen3-5-35b-a3b | global | $0.3125 | $1.25 | 256K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Qwen3.5-35B-A3B | 52.0 | 35B | 262.1K | 65.5K | Yes | Apache 2.0 |
Key information about Qwen3.5 35B A3B and its available data.
5-35B-A3B is a multimodal Mixture-of-Experts model with 35 billion total parameters and 3 billion activated parameters. It combines strong reasoning, coding, agentic, and visual understanding performance with production-friendly efficiency and a native 262K context window.
Data as of 2026-08-11.
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 LLMBoard score.
Common questions about Qwen3.5 35B A3B.
Qwen3.5 35B A3B's default version was released on Feb 24, 2026.
Qwen3.5 35B A3B's official API price is $0.25 per million input tokens and $2 per million output tokens via Alibaba. The lowest tracked third-party offer starts at $0.057 input and $0.459 output via EmpirioLabs AI.
Qwen3.5 35B A3B 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.
14 provider offerings are linked to the default version.
Nearby ranked alternatives include o3, Nova 2 Pro, Claude Opus 4.1.