DeepSeek-R1 vs QvQ-72B-Preview
Comparing DeepSeek-R1 and QvQ-72B-Preview across benchmarks, pricing, and capabilities.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-R1 and QvQ-72B-Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-R1
- you want the most recent training data — it shipped Jan 2025
Choose QvQ-72B-Preview
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
At a glance
The differences that matter most.
Individual benchmarks
0 reported for DeepSeek-R1 · 4 for QvQ-72B-Preview
DeepSeek-R1 and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-R1 has 597.6B more parameters than QvQ-72B-Preview, making it 814.2% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
QvQ-72B-Preview supports multimodal inputs, whereas DeepSeek-R1 does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1
QvQ-72B-Preview
License
Usage and distribution terms
DeepSeek-R1 is licensed under MIT, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while QvQ-72B-Preview was released on 2024-12-25.
DeepSeek-R1 is 1 month newer than QvQ-72B-Preview.
Jan 20, 2025
1.6 years ago
3w newerDec 25, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1 and QvQ-72B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1 vs QvQ-72B-Preview.