Grok-2 mini vs Qwen2.5 32B Instruct Comparison

Comparing Grok-2 mini and Qwen2.5 32B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Grok-2 mini outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2.5 32B Instruct is better at 2 benchmarks (HumanEval, MATH).

Grok-2 mini has a slight edge in benchmark performance.

Tue Mar 17 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
Tue Mar 17 2026 • llm-stats.com
xAI
Grok-2 mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Input Capabilities

Supported data types and modalities

Grok-2 mini supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.

Grok-2 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-2 mini

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-2 mini is licensed under a proprietary license, while Qwen2.5 32B Instruct uses Apache 2.0.

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

Grok-2 mini

Proprietary

Closed source

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-2 mini was released on 2024-08-13, while Qwen2.5 32B Instruct was released on 2024-09-19.

Qwen2.5 32B Instruct is 1 month newer than Grok-2 mini.

Grok-2 mini

Aug 13, 2024

1.6 years ago

Qwen2.5 32B Instruct

Sep 19, 2024

1.5 years ago

1mo 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

Supports multimodal inputs
Higher GPQA score (51.0% vs 49.5%)
Higher MMLU score (86.2% vs 83.3%)
Higher MMLU-Pro score (72.0% vs 69.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher HumanEval score (88.4% vs 85.7%)
Higher MATH score (83.1% vs 73.0%)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-2 mini
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct