Qwen2.5 VL 72B Instruct vs Qwen3.8-Flash-Next
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 VL 72B Instruct outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (LVBench, MathVision). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Qwen2.5 VL 72B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Choose Qwen3.8-Flash-Next
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5 VL 72B Instruct outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (LVBench, MathVision).
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Qwen3.8-Flash-Next has 108.0B more parameters than Qwen2.5 VL 72B Instruct, making it 150.0% larger.
Input Capabilities
Supported data types and modalities
Both Qwen2.5 VL 72B Instruct and Qwen3.8-Flash-Next support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen2.5 VL 72B Instruct
Qwen3.8-Flash-Next
License
Usage and distribution terms
Qwen2.5 VL 72B Instruct is licensed under tongyi-qianwen, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.
License differences may affect how you can use these models in commercial or open-source projects.
tongyi-qianwen
Open weights
Qwen Community License 1.0
Open weights
Release Timeline
When each model was launched
Qwen2.5 VL 72B Instruct was released on 2025-01-26, while Qwen3.8-Flash-Next was released on 2026-08-26.
Qwen3.8-Flash-Next is 19 months newer than Qwen2.5 VL 72B Instruct.
Jan 26, 2025
1.6 years ago
Aug 26, 2026
0 days ago
1.6yr newerKnowledge 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 Qwen2.5 VL 72B Instruct and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5 VL 72B Instruct vs Qwen3.8-Flash-Next.