The AI arena is free today

Open Superagent

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

Ministral 3 (14B Reasoning 2512) leads the LLM Stats Score 20.6 to 7.9.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Ministral 3 (14B Reasoning 2512) leads the overall LLM Stats Score 20.6 to 7.9, ranking #196 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Ministral 3 (14B Reasoning 2512)

  • overall performance matters — it scores 20.6 and ranks #196 on LLM Stats
  • you want the most recent training data — it shipped Dec 2025

Choose QvQ-72B-Preview

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
20.6
#196
7.9
#285
20.6
#187
8.2
#279
Cost, coverage & limits
Benchmark wins
Input price
$0.20 / M
— / M
Output price
$0.20 / M
— / M
Context window
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (14B Reasoning 2512)
QvQ-72B-Preview
21.1#151
9.6#253
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 4 for QvQ-72B-Preview

No common benchmarks found

Ministral 3 (14B Reasoning 2512) and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

59.4B diff

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

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

Context Window

Maximum input and output token capacity

Only Ministral 3 (14B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (14B Reasoning 2512) specifies output context (262,100 tokens).

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (14B Reasoning 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 Reasoning 2512)

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Reasoning 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 Reasoning 2512)

Apache 2.0

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

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

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

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

9 months ago

11mo newer
QvQ-72B-Preview

Dec 25, 2024

1.7 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

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Ministral 3 (14B Reasoning 2512) and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

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

Which is better, Ministral 3 (14B Reasoning 2512) or QvQ-72B-Preview?

Ministral 3 (14B Reasoning 2512) leads the LLM Stats Score 20.6 to 7.9. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ministral 3 (14B Reasoning 2512) compare to QvQ-72B-Preview in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and QvQ-72B-Preview?

Ministral 3 (14B Reasoning 2512) supports 262K tokens and QvQ-72B-Preview 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 Ministral 3 (14B Reasoning 2512) and QvQ-72B-Preview?

Key differences include LLM Stats Score (20.6 vs 7.9), licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Reasoning 2512) and QvQ-72B-Preview?

Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.