MiniStral 3 (14B Instruct 2512) vs Qwen2.5 VL 32B Instruct Comparison

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

MiniStral 3 (14B Instruct 2512) outperforms in 1 benchmarks (MATH), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

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
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

19.5B diff

Qwen2.5 VL 32B Instruct has 19.5B more parameters than MiniStral 3 (14B Instruct 2512), making it 139.3% larger.

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
14.0B
MiniStral 3 (14B Instruct 2512)
33.5B
Qwen2.5 VL 32B Instruct

Input Capabilities

Supported data types and modalities

Both MiniStral 3 (14B Instruct 2512) and Qwen2.5 VL 32B Instruct support multimodal inputs.

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

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

MiniStral 3 (14B Instruct 2512) is 9 months newer than Qwen2.5 VL 32B Instruct.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

3 months ago

9mo newer
Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.0 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

Higher MATH score (90.4% vs 82.2%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison