qwen2.5-vl-32b-instruct
Provider: SiliconFlow (China), Context: 131000, Output Limit: 131000
| Provider | Source | Input Price ($/1M) | Output Price ($/1M) | Description | Free |
|---|---|---|---|---|---|
| siliconflowcn | models-dev | Input: $0.27 | Output: $0.27 | Provider: SiliconFlow (China), Context: 131000, Output Limit: 131000 | |
| chutes | models-dev | Input: $0.05 | Output: $0.22 | Provider: Chutes, Context: 16384, Output Limit: 16384 | |
| siliconflow | models-dev | Input: $0.27 | Output: $0.27 | Provider: SiliconFlow, Context: 131000, Output Limit: 131000 | |
| ionet | models-dev | Input: $0.05 | Output: $0.22 | Provider: IO.NET, Context: 32000, Output Limit: 4096 | |
| deepinfra | litellm | Input: $0.20 | Output: $0.60 | Source: deepinfra, Context: 128000 | |
| openrouter | openrouter | Input: $0.05 | Output: $0.22 | 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. Context: 16384 |