The AI arena is free today

Open Superagent

QvQ-72B-Preview vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 8.1.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 8.1, ranking #16 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose QvQ-72B-Preview

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Flash

  • overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
8.1
#266
49.6
#16
Reasoning
8.4
#260
49.2
#16
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$0.47 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
QvQ-72B-Preview
Qwen3.8 Flash
Math
9.8#243
32.6#55
Vision
6.9#137
34.4#13
Multimodal
10.1#109
36.2#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for QvQ-72B-Preview · 22 for Qwen3.8 Flash

1 shared

QvQ-72B-Preview outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 1 benchmark (MathVision).

Qwen3.8 Flash significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

51.6B diff

Qwen3.8 Flash has 51.6B more parameters than QvQ-72B-Preview, making it 70.3% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
73.4B
QvQ-72B-Preview
125.0B
Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Only Qwen3.8 Flash specifies input context (1,000,000 tokens). Only Qwen3.8 Flash specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both QvQ-72B-Preview and Qwen3.8 Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

QvQ-72B-Preview

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

QvQ-72B-Preview is licensed under Qwen, while Qwen3.8 Flash uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

QvQ-72B-Preview

Qwen

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen3.8 Flash was released on 2026-08-26.

Qwen3.8 Flash is 20 months newer than QvQ-72B-Preview.

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

Qwen3.8 Flash

Aug 26, 2026

6 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against QvQ-72B-Preview and Qwen3.8 Flash side-by-side, then vote on the output you prefer.

QvQ-72B-Preview
✓ Preferred
Qwen3.8 Flash
Open in Playground

FAQ

Common questions about QvQ-72B-Preview vs Qwen3.8 Flash.

Which is better, QvQ-72B-Preview or Qwen3.8 Flash?

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 8.1. QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team and Qwen3.8 Flash is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does QvQ-72B-Preview compare to Qwen3.8 Flash in benchmarks?

QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen3.8 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for QvQ-72B-Preview and Qwen3.8 Flash?

QvQ-72B-Preview supports an unknown number of tokens and Qwen3.8 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between QvQ-72B-Preview and Qwen3.8 Flash?

Key differences include LLM Stats Score (8.1 vs 49.6), licensing (Qwen vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Related comparisons