Loading...
Loading...
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 43% cheaper than mistral-small-3.1-24b-instruct
⚡Qwen: Qwen2.5 VL 32B Instruct is 685ms faster than mistral-small-3.1-24b-instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 75% cheaper
| Spec | mistral-small-3.1-24b-instruct | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | mistralai | qwen |
| Input price / 1M tokens | $0.35 | $0.20 |
| Output price / 1M tokens | $0.56 | $0.60 |
| Context window | 128k tokens | 128k tokens |
| Latency (p50) | 685ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.
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...
Want to swap in a different model or estimate monthly costs?