Model Comparison

Llama 4 Maverick vs Qwen2-VL-72B-InstructWhich is better in 2026?

Llama 4 Maverick significantly outperforms across most benchmarks.

Verdict: Llama 4 Maverick vs Qwen2-VL-72B-Instruct — which is better?

Llama 4 Maverick (by Meta) and Qwen2-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.

Llama 4 Maverick outperforms in 2 benchmarks (ChartQA, MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 0 benchmarks. Llama 4 Maverick significantly outperforms across most benchmarks.

Choose Llama 4 Maverick if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Choose Qwen2-VL-72B-Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 4 Maverick outperforms in 2 benchmarks (ChartQA, MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 0 benchmarks.

Llama 4 Maverick significantly outperforms across most benchmarks.

Fri Jun 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

326.6B diff

Llama 4 Maverick has 326.6B more parameters than Qwen2-VL-72B-Instruct, making it 445.0% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
400.0B
Llama 4 Maverick
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Fri Jun 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 4 Maverick and Qwen2-VL-72B-Instruct support multimodal inputs.

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

Llama 4 Maverick

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Llama 4 Maverick is 7 months newer than Qwen2-VL-72B-Instruct.

Llama 4 Maverick

Apr 5, 2025

1.2 years ago

7mo newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Llama 4 Maverick's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Llama 4 Maverick's cutoff date.

Llama 4 Maverick

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,000,000 tokens)
Higher ChartQA score (90.0% vs 88.3%)
Higher MMMU-Pro score (59.6% vs 46.2%)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Maverick
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Llama 4 Maverick vs Qwen2-VL-72B-Instruct.

Which is better, Llama 4 Maverick or Qwen2-VL-72B-Instruct?

Llama 4 Maverick significantly outperforms across most benchmarks. Llama 4 Maverick is made by Meta and Qwen2-VL-72B-Instruct 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 Maverick compare to Qwen2-VL-72B-Instruct in benchmarks?

Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Llama 4 Maverick and Qwen2-VL-72B-Instruct?

Llama 4 Maverick supports 1.0M tokens and Qwen2-VL-72B-Instruct 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 Maverick and Qwen2-VL-72B-Instruct?

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

Who makes Llama 4 Maverick and Qwen2-VL-72B-Instruct?

Llama 4 Maverick is developed by Meta and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.