Alibaba
Qwen2.5 VL 72B
Qwen vision-language model for visual reasoning, documents, and agent tasks
Model facts
- Context window
- 128K tokens
- Maximum output
- 8K tokens
- Cheapest paid input
- $0.25 per 1M tokens
- Cheapest paid output
- $0.747 per 1M tokens
- Open weights
- yes
- Providers
- 8
Capabilities and modalities
reasoning, tool calling, structured output, attachments, temperature control, open weights, text, image, audio, video.
Local hardware estimate
At 4K context: Q4_K_M 45.9 GiB, Q8_0 80.1 GiB, F16 144.2 GiB working memory.
- Parameters
- 73.4 billion
- Architecture
- qwen2_5_vl
- Model license
- other
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Observed price history
- 2026-08-24: $0.25 input / $0.747 output per 1M tokens
API providers
- Cortecs — model id qwen2.5-vl-72b-instruct; $0.25 input / $0.747 output per 1M tokens; provider documentation
- NanoGPT — model id qwen25-vl-72b-instruct; $0.7 input / $0.7 output per 1M tokens; provider documentation
- NovitaAI — model id qwen/qwen2.5-vl-72b-instruct; $0.8 input / $0.8 output per 1M tokens; provider documentation
- OpenRouter — model id qwen/qwen2.5-vl-72b-instruct; $0.8 input / $1 output per 1M tokens; provider documentation
- OVHcloud AI Endpoints — model id qwen2.5-vl-72b-instruct; $1.01 input / $1.01 output per 1M tokens; provider documentation
- Alibaba (China) — model id qwen2-5-vl-72b-instruct; $2.29 input / $6.88 output per 1M tokens; provider documentation
- Alibaba — model id qwen2-5-vl-72b-instruct; $2.8 input / $8.4 output per 1M tokens; provider documentation
- Qiniu — model id qwen2.5-vl-72b-instruct; not published input / not published output per 1M tokens; provider documentation