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 interpretation within images, and precise event localization in extended videos. Qwen2.5-VL-32B demonstrates state-of-the-art performance across multimodal benchmarks such as MMMU, MathVista, and VideoMME, while maintaining strong reasoning and clarity in text-based tasks like MMLU, mathematical problem-solving, and code generation.
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Capabilitiesjust now | 50 | 30% | +15.0 |
| Context Windowjust now | 81 | 15% | +12.2 |
| Recencyjust now | 66 | 15% | +9.9 |
| Output Capacityjust now | 20 | 15% | +3.0 |
| Pricingjust now | 1 | 25% | +0.2 |
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成本估算器
每月比类别平均节省$39.34