Qwen3.7 Plus vs SAM 3
Compare Qwen3.7 Plus and SAM 3 side-by-side. See how these vision models stack up in Object Detection.
Compare Qwen3.7 Plus vs SAM 3 live
Run the same image across every model that supports a task and compare their outputs side-by-side.
Detect and compare bounding boxes across models on the same image.
Upload an image
Drag and drop an image here, or click to browse
Models in this comparison
Qwen3.7 Plus vs SAM 3 Comparison Table
Evals updated October 8, 2026Pricing updated October 8, 2026
| Property | Qwen3.7 Plus | SAM 3 |
|---|---|---|
| Organization | Qwen | Meta |
| Category | closed | open |
| Modality | — | multimodal |
| Release Date | Jun 2026 | Nov 2025 |
| Context Window | — | — |
| Parameters | Unknown | Unknown |
| License | Unknown | Custom |
| Pricing per 1M tokens | ||
| Input $/1M | $0.320 | No published price |
| Output $/1M | $1.28 | No published price |
| Vision Tasks | ||
| Object Detection | Demo | Demo |
| captioning | Demo | Not listed |
| classification | Demo | Not listed |
| Instance Segmentation | Not listed | Supported |
| ocr | Demo | Not listed |
| Open Vocabulary Object Detection | Not listed | Supported |
| Promptable Concept Segmentation | Not listed | Demo |
| Video Object Tracking | Not listed | Supported |
| Visual Question Answering | Demo | Not listed |
| Zero Shot Segmentation | Not listed | Supported |
| Model Features | ||
| Foundation Vision | Not listed | Supported |
| Multimodal Vision | Not listed | Supported |
| Zero-shot Detection | Not listed | Supported |
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | 58.9% | Not evaluated |
| Avg cost / sample | $0.0008 | – |
| Avg speed / sample | 7.77s | – |
| By task | ||
| Object Detection | 60.1% | – |
| Counting | 50.0% | – |
| Identification | 84.4% | – |
| OCR (low) | 60.3% | – |
| by category |
| |
| OCR (high) | 65.5% | – |
| by category |
| |
| Reasoning (low) | 39.7% | – |
| Reasoning (high) | 68.2% | – |
Qwen3.7 Plus vs SAM 3: Overview
Released on November 19th, 2025, Segment Anything 3 (SAM 3) is a zero-shot image segmentation model that “detects, segments, and tracks objects in images and videos based on concept prompts.” This model was developed by Meta as the third model in the Segment Anything series.
Unlike its previous SAM models (Segment Anything and Segment Anything 2), you can provide SAM 3 with the prompt “shipping container” and it will generate precise segmentation masks for all shipping containers in an image. SAM 3 generates segmentation masks that correspond to the location of the objects found with a text prompt.
Frequently Asked Questions
SAM 3 has not yet been evaluated on Roboflow's current Vision Evals, so this comparison shows specs, licensing, and pricing rather than benchmark scores.
Yes. The comparison demo on this page runs both models on the same image side by side for object detection in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.
