Model Comparison

Ministral 3 (3B Base 2512) vs Qwen2-VL-72B-Instruct

Comparing Ministral 3 (3B Base 2512) and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 3 (3B Base 2512) and Qwen2-VL-72B-Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Mistral AI
Ministral 3 (3B Base 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

70.4B diff

Qwen2-VL-72B-Instruct has 70.4B more parameters than Ministral 3 (3B Base 2512), making it 2346.7% larger.

Mistral AI
Ministral 3 (3B Base 2512)
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
3.0B
Ministral 3 (3B Base 2512)
73.4B
Qwen2-VL-72B-Instruct

Input Capabilities

Supported data types and modalities

Both Ministral 3 (3B Base 2512) and Qwen2-VL-72B-Instruct support multimodal inputs.

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

Ministral 3 (3B Base 2512)

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (3B Base 2512) is licensed under Apache 2.0, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Ministral 3 (3B Base 2512)

Apache 2.0

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Ministral 3 (3B Base 2512) was released on 2025-12-04, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Ministral 3 (3B Base 2512) is 15 months newer than Qwen2-VL-72B-Instruct.

Ministral 3 (3B Base 2512)

Dec 4, 2025

4 months ago

1.3yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Ministral 3 (3B Base 2512)'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 Ministral 3 (3B Base 2512)'s cutoff date.

Ministral 3 (3B Base 2512)

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Mistral AI
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (3B Base 2512)
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Ministral 3 (3B Base 2512) vs Qwen2-VL-72B-Instruct

Ministral 3 (3B Base 2512) (Mistral AI) and Qwen2-VL-72B-Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Ministral 3 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.
Key differences include licensing (Apache 2.0 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.
Ministral 3 (3B Base 2512) is developed by Mistral AI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.