Model Comparison

Ministral 3 (14B Base 2512) vs QvQ-72B-Preview

Comparing Ministral 3 (14B Base 2512) and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 3 (14B Base 2512) and QvQ-72B-Preview 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
Wed Apr 15 2026 • llm-stats.com
Mistral AI
Ministral 3 (14B Base 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

59.4B diff

QvQ-72B-Preview has 59.4B more parameters than Ministral 3 (14B Base 2512), making it 424.3% larger.

Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
14.0B
Ministral 3 (14B Base 2512)
73.4B
QvQ-72B-Preview

Input Capabilities

Supported data types and modalities

Both Ministral 3 (14B Base 2512) and QvQ-72B-Preview support multimodal inputs.

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

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Base 2512) is licensed under Apache 2.0, while QvQ-72B-Preview uses Qwen.

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

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Base 2512) was released on 2025-12-04, while QvQ-72B-Preview was released on 2024-12-25.

Ministral 3 (14B Base 2512) is 11 months newer than QvQ-72B-Preview.

Ministral 3 (14B Base 2512)

Dec 4, 2025

4 months ago

11mo newer
QvQ-72B-Preview

Dec 25, 2024

1.3 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

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Key Takeaways

Mistral AI
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (14B Base 2512)
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Ministral 3 (14B Base 2512) vs QvQ-72B-Preview

Ministral 3 (14B Base 2512) (Mistral AI) and QvQ-72B-Preview (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 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.
Key differences include licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Ministral 3 (14B Base 2512) is developed by Mistral AI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.