Model Comparison

Llama 4 Scout vs QvQ-72B-PreviewWhich is better in 2026?

QvQ-72B-Preview significantly outperforms across most benchmarks.

Verdict: Llama 4 Scout vs QvQ-72B-Preview — which is better?

Llama 4 Scout (by Meta) and QvQ-72B-Preview (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.

Llama 4 Scout outperforms in 0 benchmarks, while QvQ-72B-Preview is better at 2 benchmarks (MathVista, MMMU). QvQ-72B-Preview significantly outperforms across most benchmarks.

Choose Llama 4 Scout if…

  • you want the most recent training data — it shipped Apr 2025

Choose QvQ-72B-Preview if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 4 Scout outperforms in 0 benchmarks, while QvQ-72B-Preview is better at 2 benchmarks (MathVista, MMMU).

QvQ-72B-Preview significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

35.6B diff

Llama 4 Scout has 35.6B more parameters than QvQ-72B-Preview, making it 48.5% larger.

Meta
Llama 4 Scout
109.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
109.0B
Llama 4 Scout
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 4 Scout and QvQ-72B-Preview support multimodal inputs.

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

Llama 4 Scout

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while QvQ-72B-Preview uses Qwen.

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

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while QvQ-72B-Preview was released on 2024-12-25.

Llama 4 Scout is 3 months newer than QvQ-72B-Preview.

Llama 4 Scout

Apr 5, 2025

1.3 years ago

3mo newer
QvQ-72B-Preview

Dec 25, 2024

1.6 years ago

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→

Key Takeaways

Meta
Larger context window (10,000,000 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Higher MathVista score (71.4% vs 70.7%)
Higher MMMU score (70.3% vs 69.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 4 Scout and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

Llama 4 Scout
✓ Preferred
QvQ-72B-Preview
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 4 Scout
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Llama 4 Scout vs QvQ-72B-Preview.

Which is better, Llama 4 Scout or QvQ-72B-Preview?

QvQ-72B-Preview significantly outperforms across most benchmarks. Llama 4 Scout is made by Meta and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 4 Scout compare to QvQ-72B-Preview in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Llama 4 Scout and QvQ-72B-Preview?

Llama 4 Scout supports 10.0M tokens and QvQ-72B-Preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 4 Scout and QvQ-72B-Preview?

Key differences include licensing (Llama 4 Community License Agreement vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Scout and QvQ-72B-Preview?

Llama 4 Scout is developed by Meta and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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