Qwen3.8-27BOpen Weight
Qwen3.8-27B is an AI model released by Qwen on Friday, Aug 14 2026, 11 days after Qwen3.8-Max. It is an open-weight model — the trained weights are available to download and run. It is a 27B parameter model with a 262k token context window. Benchmark results (shown below) cover NL2Repo-Bench, QwenSWEBench, CoWorkBench, IFBench, Agent's Last Exam, SWE-Bench Pro, and 6 more.
Benchmarks
About Qwen3.8-27B
Qwen3.8-27B, released August 14, 2026, brought Alibaba's Qwen3.8 generation to a size intended for local deployment: a 27B-parameter dense, natively multimodal model with downloadable weights under Apache 2.0. Its 262K-token native context window could be extended to 1M through YaRN, giving builders much of the long-context reach of Qwen3.8-Max without the flagship's 2.4-trillion-parameter footprint or hosted-only multimodal product.
The launch table concentrated on coding and office agents. Qwen3.8-27B scored 61.7% on SWE-Bench Pro, 42.2% on DeepSWE 1.1 and 79.0% on QwenSWEBench at release, all sizable gains over the earlier Qwen3.6-27B. Its 70.7% on CoWorkBench also edged the 68.2% Alibaba reported for Opus 4.6 Max, while 90.3% on LiveCodeBench v6 and 89.2% on GPQA Diamond put the compact model close to the larger proprietary systems in Qwen's comparison.
Qwen3.8-27B — frequently asked questions
- When was Qwen3.8-27B released?
- Qwen3.8-27B was released by Qwen on Friday, Aug 14 2026.
- Who made Qwen3.8-27B?
- Qwen3.8-27B was built by Qwen. Alibaba's AI lab, building the Qwen family. The most prolific publisher of open-weight models of any major lab, alongside a proprietary Max and Plus tier sold through Alibaba Cloud.
- What benchmark scores did Qwen3.8-27B get?
- Qwen3.8-27B reports 13 tracked benchmark scores — SWE-Bench Pro: 61.7%; DeepSWE 1.1: 42.2%; NL2Repo-Bench: 42.3%; QwenSWEBench: 79%; LiveCodeBench: 90.3%; Terminal-Bench 2.1: 73%; JobBench: 33.4%; CoWorkBench: 70.7%; Humanity's Last Exam (no tools): 30.8%; GPQA Diamond: 89.2%; IFBench: 79.5%; Agent's Last Exam (pass@1): 20.4%; Agent's Last Exam (score): 42.9%. Scores are the figures published at release by Qwen. It holds the best score among all models tracked here on NL2Repo-Bench, QwenSWEBench, CoWorkBench, IFBench and Agent's Last Exam (score).
- What is the context window of Qwen3.8-27B?
- Qwen3.8-27B has a context window of 262k. That is the maximum amount of input plus output the model can hold in a single request.
- How many parameters does Qwen3.8-27B have?
- Qwen3.8-27B is reported at 27B parameters.
- Is Qwen3.8-27B open source?
- Partly. Qwen3.8-27B is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.
- What came before and after Qwen3.8-27B?
- Qwen's previous tracked release was Qwen3.8-Max on Aug 3 2026, 11 days earlier. It is the most recent Qwen model tracked on AI Release Tracker.