Model Comparison

Llama 4 Scout vs QvQ-72B-Preview

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

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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.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

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
Thu Apr 16 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

1.0 years ago

3mo newer
QvQ-72B-Preview

Dec 25, 2024

1.3 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

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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

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

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.
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%.
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.
Key differences include licensing (Llama 4 Community License Agreement vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Llama 4 Scout is developed by Meta and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.