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Llama 4 Maverick vs Qwen2 72B Instruct

Llama 4 Maverick significantly outperforms across most benchmarks.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 4 Maverick outperforms in 4 benchmarks (GPQA, MATH, MMLU, MMLU-Pro), while Qwen2 72B Instruct is better at 1 benchmark (MBPP). Llama 4 Maverick significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Llama 4 Maverick

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Choose Qwen2 72B Instruct

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

At a glance

The differences that matter most.

Benchmark wins
4 of 5
1 of 5
Input price
$0.17 / M
— / M
Output price
$0.60 / M
— / M
Context window
1,000,000
Released
Apr 2025
Jul 2024
License
Llama 4 Community License Agreement
tongyi-qianwen

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Llama 4 Maverick outperforms in 4 benchmarks (GPQA, MATH, MMLU, MMLU-Pro), while Qwen2 72B Instruct is better at 1 benchmark (MBPP).

Llama 4 Maverick significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

328.0B diff

Llama 4 Maverick has 328.0B more parameters than Qwen2 72B Instruct, making it 455.6% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
400.0B
Llama 4 Maverick
72.0B
Qwen2 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 72B Instruct
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas Qwen2 72B Instruct does not.

Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 4 Maverick

Text
Images
Audio
Video

Qwen2 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen2 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 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while Qwen2 72B Instruct was released on 2024-07-23.

Llama 4 Maverick is 9 months newer than Qwen2 72B Instruct.

Llama 4 Maverick

Apr 5, 2025

1.4 years ago

8mo newer
Qwen2 72B Instruct

Jul 23, 2024

2.1 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

Judge for yourself.

Run your own prompts against Llama 4 Maverick and Qwen2 72B Instruct side-by-side, then vote on the output you prefer.

Llama 4 Maverick
✓ Preferred
Qwen2 72B Instruct
Open in Playground

FAQ

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

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

Llama 4 Maverick significantly outperforms across most benchmarks. Llama 4 Maverick is made by Meta and Qwen2 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 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 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.

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

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

Key differences include multimodal support (yes vs no), 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 72B Instruct?

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