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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 26% cheaper than llama-4-scout-17b-16e-instruct
⚡Qwen: Qwen2.5 VL 32B Instruct is 418ms faster than llama-4-scout-17b-16e-instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 35% cheaper
| Spec | llama-4-scout-17b-16e-instruct | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | meta | qwen |
| Input price / 1M tokens | $0.27 | $0.20 |
| Output price / 1M tokens | $0.85 | $0.60 |
| Context window | 131k tokens | 128k tokens |
| Latency (p50) | 418ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
Meta's Llama 4 Scout is a 17 billion parameter model with 16 experts that is natively multimodal. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding.
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...
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