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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.
💰Qwen: Qwen2.5 VL 32B Instruct is 50% cheaper than Xiaomi: MiMo-V2-Omni
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 100% cheaper
| Spec | Qwen: Qwen2.5 VL 32B Instruct | Xiaomi: MiMo-V2-Omni |
|---|---|---|
| Provider | qwen | xiaomi |
| Input price / 1M tokens | $0.20 | $0.40 |
| Output price / 1M tokens | $0.60 | $2.00 |
| Context window | 128k tokens | 262k 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...
MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step...
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