Model Comparison

Llama 4 Maverick vs QwQ-32BWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Llama 4 Maverick vs QwQ-32B — which is better?

Llama 4 Maverick (by Meta) and QwQ-32B (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 1 benchmarks (GPQA), while QwQ-32B is better at 1 benchmark (LiveCodeBench). Both models are evenly matched across the benchmarks.

Choose Llama 4 Maverick if…

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

Choose QwQ-32B if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 4 Maverick outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 1 benchmark (LiveCodeBench).

Both models are evenly matched across the benchmarks.

Fri Jun 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

367.5B diff

Llama 4 Maverick has 367.5B more parameters than QwQ-32B, making it 1130.8% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
400.0B
Llama 4 Maverick
32.5B
QwQ-32B

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
QwQ-32B
Input- tokens
Output- tokens
Fri Jun 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas QwQ-32B 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

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while QwQ-32B uses Apache 2.0.

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

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while QwQ-32B was released on 2025-03-05.

Llama 4 Maverick is 1 month newer than QwQ-32B.

Llama 4 Maverick

Apr 5, 2025

1.2 years ago

1mo newer
QwQ-32B

Mar 5, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Llama 4 Maverick's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Llama 4 Maverick's cutoff date.

Llama 4 Maverick

—

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher GPQA score (69.8% vs 65.2%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Higher LiveCodeBench score (63.4% vs 43.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Maverick
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Llama 4 Maverick vs QwQ-32B.

Which is better, Llama 4 Maverick or QwQ-32B?

Both models are evenly matched across the benchmarks. Llama 4 Maverick is made by Meta and QwQ-32B 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 QwQ-32B in benchmarks?

Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for Llama 4 Maverick and QwQ-32B?

Llama 4 Maverick supports 1.0M tokens and QwQ-32B 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 QwQ-32B?

Key differences include multimodal support (yes vs no), licensing (Llama 4 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Maverick and QwQ-32B?

Llama 4 Maverick is developed by Meta and QwQ-32B is developed by Alibaba Cloud / Qwen Team.

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