Muse Spark Open vs Qwen3.6 Plus
Muse Spark Open: 69.4% average across five Vision Evals tasks (#25 of 65 models). We have not run Qwen3.6 Plus through Roboflow's Vision Evals, so there is no head-to-head score.
Compare Muse Spark Open vs Qwen3.6 Plus live
Run the same image across every model that supports a task and compare their outputs side-by-side.
These models don't share enough common tasks for a side-by-side demo. See the comparison table below for their capabilities.
Muse Spark Open vs Qwen3.6 Plus Comparison Table
Evals updated October 26, 2026Pricing updated October 27, 2026
| Property | Muse Spark Open | Qwen3.6 Plus |
|---|---|---|
| Organization | Meta | Qwen |
| Category | open | closed |
| Modality | multimodal | multimodal |
| Release Date | Oct 2026 | Apr 2026 |
| Context Window | 1.0M | 1.0M |
| Parameters | 816B total / 42B active | Unknown |
| License | Custom | Proprietary |
| Commercial use | See license terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | $1.25 | $0.325 |
| Output $/1M | $4.25 | $1.95 |
| Vision Tasks | ||
| Captioning | Supported | Demo |
| OCR | Supported | Demo |
| Visual Question Answering | Supported | Demo |
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | 69.4% | Not evaluated |
| Avg cost / sample | $0.0059 | – |
| Avg speed / sample | 7.37s | – |
| By task | ||
| Object Detection (low) | 57.8% ±0.6, Mean of 3 runs, range 57.0 to 58.2 | – |
| Object Detection (high) | 60.9% ±0.8, Mean of 3 runs, range 60.3 to 61.9 | – |
| Counting (low) | 75.7% ±2.7, Mean of 3 runs, range 73.0 to 78.4 | – |
| Counting (high) | 75.2% ±4.1, Mean of 3 runs, range 71.6 to 79.7 | – |
| Identification (low) | 82.3% ±1.6, Mean of 3 runs, range 81.3 to 84.4 | – |
| Identification (high) | 80.2% ±3.1, Mean of 3 runs, range 78.1 to 84.4 | – |
| OCR (low) | 67.6% | – |
| by category |
| |
| OCR (high) | 68.6% | – |
| by category |
| |
| Reasoning (low) | 63.8% ±1.0, Mean of 3 runs, range 62.9 to 64.9 | – |
| Reasoning (high) | 65.1% ±3.0, Mean of 3 runs, range 62.3 to 68.2 | – |
Muse Spark Open vs Qwen3.6 Plus: Overview
Muse Spark Open is an open-weight multimodal model released by Meta on October 15, 2026. Its sparse mixture-of-experts architecture has 816 billion total parameters and activates 42 billion per token. It accepts text, images, audio and video, produces text, and supports a context window of 1,048,576 tokens. Meta provides BF16 and NVFP4 checkpoints for self-hosting, alongside access through hosted inference partners.
The model is designed for coding, tool use and multi-step reasoning over long tasks. Its visual inputs support workflows involving screenshots, documents and other image content. Vision Evals measures its text understanding, counting, identification, reasoning and object detection at Low and High effort. The published weights use the custom Muse Model License, with commercial use subject to its terms and the accompanying usage policy.
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.