Model Comparison
DeepSeek-V4-Flash-0731 vs Qwen2.5 VL 72B InstructWhich is better in 2026?
Comparing DeepSeek-V4-Flash-0731 and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V4-Flash-0731 vs Qwen2.5 VL 72B Instruct — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and Qwen2.5 VL 72B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Choose DeepSeek-V4-Flash-0731 if…
- you want the most recent training data — it shipped Jul 2026
Choose Qwen2.5 VL 72B Instruct if…
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 and Qwen2.5 VL 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0731 has 232.0B more parameters than Qwen2.5 VL 72B Instruct, making it 322.2% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Qwen2.5 VL 72B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
DeepSeek-V4-Flash-0731 is 18 months newer than Qwen2.5 VL 72B Instruct.
Jul 31, 2026
3 days ago
1.5yr newerJan 26, 2025
1.5 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
Key Takeaways
Qwen2.5 VL 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Qwen2.5 VL 72B Instruct.