# Qwen3.6

Qwen3.6 is an AI model released by Qwen on Apr 16 2026. It has 35B parameters, a 256k context window and open weight. At release it scored 86% on GPQA Diamond, 73.4% on SWE-Bench Verified and 49.5% on SWE-Bench Pro.

## Facts

| Field | Value |
| --- | --- |
| Model | Qwen3.6 |
| Developer | Qwen |
| Release date | Thursday, Apr 16 2026 |
| Licensing | Open Weight |
| Parameters | 35B |
| Context window | 256k |

## Benchmark scores published at release

| Benchmark | Score | What it measures |
| --- | --- | --- |
| SWE-Bench Pro | 49.5% | 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. |
| SWE-Bench Verified | 73.4% | Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. |
| SWE-Bench Multilingual | 67.2% | Like SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. |
| Terminal-Bench 2.0 | 51.5% | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. |
| Humanity's Last Exam (no tools) | 21.4% | 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 | 86% | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. |
| CharXiv Reasoning | 78% | Can the AI read and reason about complex charts and figures, not just text? Higher is better. |
| MMMU-Pro | 75.3% | A tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. |
| MMMU | 81.7% | Tests the AI on understanding images and text together across many college subjects. Higher is better. |

## Questions and answers

### When was Qwen3.6 released?

Qwen3.6 was released by Qwen on Thursday, Apr 16 2026.

### Who made Qwen3.6?

Qwen3.6 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 Qwen3.6 get?

Qwen3.6 reports 9 tracked benchmark scores — SWE-Bench Pro: 49.5%; SWE-Bench Verified: 73.4%; SWE-Bench Multilingual: 67.2%; Terminal-Bench 2.0: 51.5%; Humanity's Last Exam (no tools): 21.4%; GPQA Diamond: 86%; CharXiv Reasoning: 78%; MMMU-Pro: 75.3%; MMMU: 81.7%. Scores are the figures published at release by Qwen.

### What is the context window of Qwen3.6?

Qwen3.6 has a context window of 256k. That is the maximum amount of input plus output the model can hold in a single request.

### How many parameters does Qwen3.6 have?

Qwen3.6 is reported at 35B parameters.

### Is Qwen3.6 open source?

Partly. Qwen3.6 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 Qwen3.6?

Qwen's previous tracked release was Qwen3.6-Plus on Apr 2 2026, 14 days earlier. It was followed by Qwen3.7-Max on May 20 2026.


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Canonical page: https://aireleasetracker.com/model/qwen/qwen3.6
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.