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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.
💰Mistral: Mistral Nemo is 100% cheaper than Qwen: Qwen2.5 VL 32B Instruct
⚡Qwen: Qwen2.5 VL 32B Instruct is 28ms faster than Mistral: Mistral Nemo
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
| Spec | Mistral: Mistral Nemo | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | mistralai | qwen |
| Input price / 1M tokens | Free | $0.20 |
| Output price / 1M tokens | — | $0.60 |
| Context window | 131k tokens | 128k tokens |
| Latency (p50) | 28ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
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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