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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰floorplan-recognition is 100% cheaper than Qwen: Qwen2.5 VL 32B Instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
| Spec | Qwen: Qwen2.5 VL 32B Instruct | floorplan-recognition |
|---|---|---|
| Provider | qwen | ton731 |
| Input price / 1M tokens | $0.20 | Free |
| Output price / 1M tokens | $0.60 | — |
| Context window | 128k tokens | — |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual...
Segment floorplan images into walls, doors, windows, and kitchen zones using a deep learning model, then extract structured contours and center lines as JSON for downstream applications.
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