Alibaba Cloud / Qwen Team model product
6 series, supporting both vision-language thinking and non-thinking modes in a single unified checkpoint.
Updated Aug 12, 2026. Default version: Qwen3.6-27B
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 Qwen3.6-27B.
| EmbSpatialBench | 0.846 points | 01 | 8 | 100.0% | C | |
| RefSpatialBench | 0.7 points | 01 | 6 | 100.0% | C | |
| MVBench | 75.5% | 02 | 17 | 93.8% | C | |
| QwenWebBench | 1,487 points | 02 | 2 | 0.0% | C | |
| RefCOCO-avg | 0.925 points | 02 | 7 | 83.3% | C | |
| VideoMME w sub. | 87.7% | 02 | 10 | 88.9% | C | |
| VLMsAreBlind | 97.0% | 02 | 4 | 66.7% | C | |
| CountBench | 0.978 points | 03 | 6 | 60.0% | C | |
| V* | 94.7% | 03 | 7 | 66.7% | C | |
| ZClawBench | 53.4% | 03 | 4 | 33.3% | C | |
| AndroidWorld | 70.3% | 04 | 4 | 0.0% | C | |
| DynaMath | 85.6% | 04 | 7 | 50.0% | C | |
| HMMT25 | 90.7% | 04 | 25 | 87.5% | C | |
| MathVista-Mini | 87.4% | 04 | 23 | 86.4% | C | |
| MLVU | 86.6% | 04 | 10 | 66.7% | C | |
| MMBench-V1.1 | 92.3% | 04 | 18 | 82.3% | C | |
| MMStar | 81.4% | 04 | 22 | 85.7% | C | |
| SkillsBench | 48.2% | 05 | 8 | 42.9% | C | |
| CC-OCR | 81.2% | 06 | 18 | 70.6% | C | |
| C-Eval | 91.4% | 06 | 18 | 70.6% | C | |
| AIME 2026 | 94.1% | 08 | 18 | 58.8% | C | |
| MMMU | 82.9% | 08 | 63 | 88.7% | C | |
| SuperGPQA | 66.0% | 08 | 34 | 78.8% | C | |
| HMMT Feb 26 | 84.3% | 09 | 11 | 20.0% | C | |
| MMLU-Redux | 93.5% | 09 | 48 | 83.0% | C | |
| OCRBench | 89.4% | 09 | 22 | 61.9% | C | |
| RealWorldQA | 84.1% | 09 | 26 | 68.0% | C | |
| VideoMMMU | 84.4% | 09 | 26 | 68.0% | C | |
| Claw-Eval | 60.6% | 10 | 13 | 25.0% | C | |
| ERQA | 62.5% | 10 | 23 | 59.1% | C | |
| HMMT 2025 | 93.8% | 11 | 33 | 68.8% | C | |
| LiveCodeBench v6 | 83.9% | 11 | 53 | 80.8% | C | |
| MMLU-Pro | 86.2% | 12 | 129 | 91.4% | C | |
| SimpleVQA | 0.561 points | 12 | 13 | 8.3% | C | |
| NL2Repo | 36.2% | 13 | 14 | 7.7% | C | |
| IMO-AnswerBench | 80.8% | 15 | 19 | 22.2% | C | |
| SWE-bench Multilingual | 71.3% | 17 | 34 | 51.5% | C | |
| Terminal-Bench 2.0 | 59.3% | 22 | 49 | 56.3% | C | |
| CharXiv-R | 78.4% | 24 | 48 | 51.1% | C | |
| SWE-Bench Verified | 77.2% | 26 | 105 | 76.0% | C | |
| MMMU-Pro | 75.8% | 30 | 66 | 55.4% | C | |
| SWE-Bench Pro | 53.5% | 36 | 45 | 20.4% | C | |
| GPQA | 87.8% | 37 | 234 | 84.5% | C | |
| Humanity's Last Exam | 24.0% | 52 | 93 | 44.6% | C |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Provider-specific output speed and catalog latency for Qwen3.6-27B. Runtime does not affect the capability score.
| Novita | 7.845 tok/s | 7.801 s | 262.1K | 65.5K |
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.
| QVAC | qwen3.6-27b | global | N/A | N/A | 262.1K | |
| ai& | qwen/qwen3.6-27b | global | N/A | N/A | 262.1K | |
| CrofAI | qwen3.6-27b | global | $0.20 | $1.5 | 262.1K | |
| NanoGPT | alibaba/qwen3.6-27b | global | $0.203 | $2.24 | 260.1K | |
| Merge Gateway | qwen/qwen3.6-27b | global | $0.289 | $2.4 | 131.1K | |
| SiliconFlow | Qwen/Qwen3.6-27B | global | $0.30 | $3.2 | 262.1K | |
| Vultr | Qwen/Qwen3.6-27B | global | $0.30 | $2 | 262.1K | |
| Abacus | Qwen/Qwen3.6-27B | global | $0.32 | $3.2 | 262.1K | |
| Deep Infra | Qwen/Qwen3.6-27B | global | $0.32 | $3.2 | 262.1K | |
| Venice AI | qwen3-6-27b | global | $0.325 | $3.25 | 256K | |
| EmpirioLabs AI | qwen3-6-27b | global | $0.4126 | $2.48 | 256K | |
| Cortecs | qwen3.6-27b | global | $0.446 | $3.01 | 262K | |
| Synthetic | hf:Qwen/Qwen3.6-27B | global | $0.45 | $3.6 | 262.1K | |
| Kilo Gateway | qwen/qwen3.6-27b | global | $0.45 | $2.7 | 262.1K | |
| OVHcloud AI Endpoints | qwen3.6-27b | global | $0.47 | $3.19 | 262.1K | |
| Hugging Face | Qwen/Qwen3.6-27B | global | $0.47 | $3.19 | 262.1K | |
| STACKIT | Qwen/Qwen3.6-27B | global | $0.53 | $0.76 | 262.1K | |
| Regolo AI | qwen3.6-27b | global | $0.58 | $2.42 | 120K | |
| Weights & Biases | Qwen/Qwen3.6-27B | global | $0.60 | $3.6 | 262.1K | |
| Pioneer | Qwen/Qwen3.6-27B | global | $0.60 | $0.60 | 32.8K | |
| Ofox | bailian/qwen3.6-27b | global | $0.60 | $3.6 | 256K | |
| Groq | qwen/qwen3.6-27b | global | $0.60 | $3 | 131.1K | |
| Alibaba | qwen3.6-27b | global | $0.60 | $3.6 | 262.1K | |
| Vercel AI Gateway | alibaba/qwen3.6-27b | global | $0.60 | $3.6 | 256K | |
| OpenRouter | qwen/qwen3.6-27b | global | $0.60 | $3.6 | 262.1K |
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.
| Qwen3.6-27B | 60.5 | 27.8B | 262.1K | 65.5K | Yes | Apache 2.0 |
Key information about Qwen3.6 27B and its available data.
6 series, supporting both vision-language thinking and non-thinking modes in a single unified checkpoint.
The 64-layer language model uses a hybrid layout of 16 repeats of (3 × Gated DeltaNet → FFN, 1 × Gated Attention → FFN) with hidden dim 5120 and FFN intermediate 17408 — Gated DeltaNet has 48/16 heads for V/QK (head dim 128) and Gated Attention has 24/4 heads for Q/KV (head dim 256).
It supports a native 262,144-token context extensible to ~1,010,000 via YaRN and is trained with multi-token prediction. 8 on GPQA Diamond. 0; accessible via Qwen Studio with the Alibaba Cloud Model Studio API coming soon.
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 Qwen3.6 27B.
Qwen3.6 27B's default version was released on Apr 21, 2026.
Qwen3.6 27B's official API price is $0.60 per million input tokens and $3.6 per million output tokens via Alibaba. The lowest tracked third-party offer starts at $0.20 input and $1.5 output via CrofAI.
Qwen3.6 27B 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.
26 provider offerings are linked to the default version.
Nearby ranked alternatives include GPT-5.1-Instant, Kimi K2 Thinking, LongCat Flash Thinking.