Qwen3.6 Plus vs Qwen3.8 Flash
Compare Qwen3.6 Plus and Qwen3.8 Flash side-by-side. See how these vision models stack up in Image Captioning, OCR, and Open Prompt.
Compare Qwen3.6 Plus vs Qwen3.8 Flash live
Run the same image across every model that supports a task and compare their outputs side-by-side.
Extract and compare text from images across multiple models.
Upload an image
Drag and drop an image here, or click to browse
Models in this comparison
Qwen3.6 Plus vs Qwen3.8 Flash Comparison Table
Evals updated August 27, 2026Pricing updated August 27, 2026
| Property | Qwen3.6 Plus | Qwen3.8 Flash |
|---|---|---|
| Organization | Qwen | Qwen |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Apr 2026 | Aug 2026 |
| Context Window | 1.0M | 1.0M |
| Parameters | 125B total, 6B active (+51B N-gram embeddings) | |
| License | Proprietary | Custom |
| Pricing per 1M tokens | ||
| Input $/1M | $0.325 | $0.150 |
| Output $/1M | $1.95 | $0.470 |
| Vision Tasks | ||
| Captioning | Demo | Demo |
| Chart Question Answering | ||
| Classification | Demo | |
| Document Question Answering | ||
| Image Tagging | ||
| Multi-Label Classification | ||
| Object Detection | Demo | |
| OCR | Demo | Demo |
| Vision Language | ||
| Visual Question Answering | Demo | Demo |
| Model Features | ||
| Foundation Vision | ||
| LLMs with Vision Capabilities | ||
| Multimodal Vision | ||
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort | ||
| Overall | Not evaluated | 70.3% |
| Avg cost / sample | – | $0.0004 |
| Avg speed / sample | – | 8.24s |
| By task | ||
| Object Detection | – | 58.5% $0.0007 |
| Counting | – | 59.5% $0.0002 |
| Identification | – | 90.6% $0.0001 |
| OCR | – | 88.9% $0.0003 |
| Data Extraction | – | 86.6% $0.0002 |
| Reasoning (low) | – | 37.8% $0.0002 |
| Reasoning (high) | – | 68.9% $0.0011 |
Qwen3.6 Plus vs Qwen3.8 Flash: Overview
Qwen3.6 Plus is a flagship model in Alibaba’s Qwen Plus series, designed for agentic workflows, coding, and multi-step reasoning. It supports a 1 million token context window and up to 65,536 output tokens, with built-in reasoning capabilities. The model is available as a hosted, proprietary API through Alibaba Cloud.
Compared to Qwen3.5, it improves reliability in multi-step execution and frontend code generation, with stronger performance on agentic coding tasks. It also supports document and image understanding, though its vision capabilities are more limited than dedicated Qwen-VL models. Qwen3.6 Plus is part of a broader Qwen ecosystem that includes both closed-source APIs and open-weight models.
Qwen3.8-Flash is a multimodal mixture-of-experts model from the Qwen team at Alibaba, and the production counterpart of the open-weight Qwen3.8-Flash-Next preview that introduces the architecture intended for the Qwen4 family. The main model carries 125 billion parameters alongside a separate 51 billion parameter N-gram embedding table, while activating roughly 6 billion parameters per token. It accepts interleaved image and text input and returns text, handling 262,144 tokens of context natively with extension to 1,000,000 tokens using YaRN. The production configuration runs with the 1M context window by default and adds built-in tool support.
Four architectural changes separate it from earlier Qwen releases: hybrid attention that pairs Gated DeltaNet for history compression with Qwen Sparse Attention, which uses a lightweight indexer to select micro-blocks of context; a Gated Residual scheme; N-gram embeddings; and training with the Muon optimizer, refined around orthogonalization accuracy and the division of parameters between Muon and AdamW. Qwen reports training cost around one ninth that of Qwen3.7-Plus, with QSA attention kernels measured up to 7.6 times faster in prefill and 4.9 times faster in decode at 1M-token context. Reported scores include 58.7 on DeepSWE 1.1, 62.5 on SWE-bench Pro, 84.5 on AndroidWorld and 95.7 on MathVision.
Frequently Asked Questions
Qwen3.6 Plus has not yet been evaluated on Roboflow's current Vision Evals, so this comparison shows specs, licensing, and pricing rather than benchmark scores.
Qwen3.6 Plus is released under Proprietary, while Qwen3.8 Flash uses Custom. Licensing often matters more than raw accuracy for commercial deployments, so check the terms against how you plan to ship.
Yes. The comparison demo on this page runs both models on the same image side by side for image captioning and OCR in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.