# Qwen3.8-27B Qwen3.8-27B is an AI model released by Qwen on Aug 14 2026. It has 27B parameters, a 262k context window and open weight. At release it scored 42.3% on NL2Repo-Bench, 79% on QwenSWEBench and 70.7% on CoWorkBench. ## Facts | Field | Value | | --- | --- | | Model | Qwen3.8-27B | | Developer | Qwen | | Release date | Friday, Aug 14 2026 | | Licensing | Open Weight | | Parameters | 27B | | Context window | 262k | ## Benchmark scores published at release | Benchmark | Score | What it measures | | --- | --- | --- | | SWE-Bench Pro | 61.7% | Can the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | | DeepSWE 1.1 | 42.2% | Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better. | | NL2Repo-Bench | 42.3% | Tests whether the AI can turn a natural-language requirement into working code across an entire repository, not just produce a single function or patch. Higher is better. | | QwenSWEBench | 79% | Qwen's in-house coding benchmark for evaluating a model's ability to complete software-engineering work. Higher is better. | | LiveCodeBench | 90.3% | Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | | Terminal-Bench 2.1 | 73% | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | | JobBench | 33.4% | Tests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better. | | CoWorkBench | 70.7% | Tests long-running office tasks across fields including computer science, finance, law, medicine, and other productivity work. Higher is better. | | Humanity's Last Exam (no tools) | 30.8% | Humanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | | GPQA Diamond | 89.2% | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | | IFBench | 79.5% | Tests whether the AI can follow detailed instructions and satisfy multiple constraints at once. Higher is better. | | Agent's Last Exam (pass@1) | 20.4% | A hard set of desktop and operating-system tasks an AI agent has to finish by looking at the screen and working the machine itself. The score is the share it passes outright — partial credit does not count. Higher is better. | | Agent's Last Exam (score) | 42.9% | The graded score on the same desktop and operating-system tasks in Agent's Last Exam, giving partial credit for progress beyond the strict pass-or-fail result. Higher is better. | ## 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. ## Questions and answers ### 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. --- Canonical page: https://aireleasetracker.com/model/qwen/qwen3.8-27b Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.