- Organizations
- Qwen
- Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct: API Pricing, Context Window & Benchmarks
Qwen2-VL-72B-Instruct is a language model from Qwen, released in August 2024, with multimodal input.
An instruction-tuned, large multimodal model that excels at visual understanding and step-by-step reasoning. It supports image and video input, with dynamic resolution handling and improved positional embeddings (M-ROPE), enabling advanced
Qwen2-VL-72B-Instruct benchmarks
Rankings
Quality Tracker
Qwen2-VL-72B-Instruct Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
Qwen2-VL-72B-Instruct API
Available from the model provider
Qwen2-VL-72B-Instruct has an official provider API. It is not currently routed through the LLM Stats gateway.
Read the official API documentationQwen2-VL-72B-Instruct latency
Qwen2-VL-72B-Instruct time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Qwen2-VL-72B-Instruct examples
Recent arena outputs from Qwen2-VL-72B-Instruct, picked from the highest-ranked matchups.
Qwen2-VL-72B-Instruct license
Qwen2-VL-72B-Instruct is a proprietary model available under its provider's product and API terms, has 73.4B parameters, has a knowledge cutoff of June 2023.
- License
- tongyi-qianwen
- Hosted access
- Parameters
- 73.4B
- Knowledge cutoff
- June 2023
Qwen2-VL-72B-Instruct resources
Official sources for Qwen2-VL-72B-Instruct: api documentation, paper or system card, official launch post, source repository.
Qwen2-VL-72B-Instruct vs other models
The most-compared alternatives to Qwen2-VL-72B-Instruct are Nova Pro, Qwen3 VL 32B Thinking, Llama 3.2 90B Instruct. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Qwen2-VL-72B-Instruct
Models ranked just above and below Qwen2-VL-72B-Instruct by LLM Stats score.
FAQ
Common questions about Qwen2-VL-72B-Instruct.