Model Comparison

Llama 4 Maverick vs Qwen3 VL 32B Instruct

Both models are evenly matched across the benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 4 Maverick outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen3 VL 32B Instruct is better at 2 benchmarks (MMLU, MMMU-Pro).

Both models are evenly matched across the benchmarks.

Sun Apr 19 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
Sun Apr 19 2026 • llm-stats.com
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

367.0B diff

Llama 4 Maverick has 367.0B more parameters than Qwen3 VL 32B Instruct, making it 1112.1% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
400.0B
Llama 4 Maverick
33.0B
Qwen3 VL 32B 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
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Sun Apr 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 4 Maverick and Qwen3 VL 32B 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

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen3 VL 32B Instruct 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

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 6 months newer than Llama 4 Maverick.

Llama 4 Maverick

Apr 5, 2025

1.0 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

6 months ago

5mo newer

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

Larger context window (1,000,000 tokens)
Higher GPQA score (69.8% vs 68.9%)
Higher MMLU-Pro score (80.5% vs 78.6%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MMLU score (86.4% vs 85.5%)
Higher MMMU-Pro score (65.3% vs 59.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Maverick
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Llama 4 Maverick vs Qwen3 VL 32B Instruct

Both models are evenly matched across the benchmarks. Llama 4 Maverick is made by Meta and Qwen3 VL 32B Instruct 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 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.
Llama 4 Maverick supports 1.0M tokens and Qwen3 VL 32B Instruct 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 Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 4 Maverick is developed by Meta and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.